ChatGPT Classic for MacOS (15 Jul 2026)

ChatGPT for macOS is a native desktop application developed by OpenAI that allows users to interact with ChatGPT directly from their Mac without using a browser.

The app is designed to integrate seamlessly with the macOS environment, enabling quick access to AI assistance from anywhere on the system.

It supports tasks such as writing, coding, analyzing files, and interacting with on screen content.

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System Requirements

To run the app, your Mac must meet these requirements:

• macOS 14 or newer

• Apple Silicon processor (M1 or later)

Older Intel based Macs are not supported.

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Key Features

Instant Access with Keyboard Shortcut

One of the most useful features is quick access using a global shortcut:

• Press Option + Space to open ChatGPT instantly

This allows users to interact with AI without switching apps, improving workflow efficiency.

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Seamless Desktop Integration

The app integrates directly with macOS, allowing users to:

• Ask questions about content on screen

• Work with emails, documents, and notes

• Interact without opening a browser

This tight integration makes it feel like part of the operating system.

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File and Screenshot Support

Users can upload and analyze files directly within the app:

• Documents

• Images

• Screenshots

This enables tasks like summarizing content, extracting information, and debugging code efficiently.

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Work With Apps Feature

ChatGPT can interact with supported applications such as:

• Code editors

• Terminal tools

• Text editing apps

It can read context from these apps to provide smarter, more relevant responses.

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Coding Assistance

The macOS app is especially useful for developers:

• Generate and edit code

• Assist with debugging

• Write scripts directly into IDE workflows

This helps speed up development tasks and reduce repetitive work.

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Conversation History and Search

The app stores previous conversations, allowing users to:

• Revisit past chats

• Search through conversation history

• Continue ongoing work

This improves productivity for long term projects.

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Voice Interaction

The app previously included voice interaction features for hands free usage.

However, voice functionality in the macOS app has been phased out to focus on a more unified experience across platforms.

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Performance and Usability

ChatGPT for macOS offers a clean and responsive interface that aligns with macOS design principles.

Performance highlights:

• Fast launch and minimal friction

• Smooth switching between chats

• Efficient handling of files and inputs

Because it runs as a native app, it often feels faster and more integrated compared to the web version.

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Pros and Cons

Advantages

• Native macOS integration

• Instant access via keyboard shortcut

• Supports file and screenshot analysis

• Useful for coding and productivity

• Clean and modern interface

Limitations

• Requires Apple Silicon Mac

• Some features differ from web version

• Voice mode no longer available on macOS

• Depends on internet connection

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Who Should Use ChatGPT for macOS

This app is ideal for:

• Developers and programmers

• Writers and content creators

• Students and researchers

• Professionals handling documents and data

• Mac users who want quick AI access

It is especially useful for users who prefer desktop workflows over browser based tools.

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Final Verdict

ChatGPT for macOS is a powerful desktop AI assistant that enhances productivity through deep system integration and fast accessibility. With features like global shortcuts, file analysis, and app integration, it provides a smooth and efficient AI experience on Mac.

For users working heavily on macOS, the app offers a more streamlined and responsive alternative to the web version of ChatGPT.

AI tools are becoming essential for productivity, coding, writing, and everyday tasks. ChatGPT for macOS brings the power of ChatGPT directly to desktop users with a native app designed for speed, convenience, and deep system integration.

Free

Download

Software Informations:
Developer:
OpenAI
Operating System:
macOS 14+
Date Added:
2026-10-09T05:03:42.329Z

Unsloth v0.1.905-beta

Unsloth is an open-source AI platform for running and training open models locally. It combines Unsloth Studio, a graphical interface for running and training models, with Unsloth Core, a code-based library for fine-tuning and machine learning workflows. It supports language, vision, audio, embedding, and diffusion models across Windows, Linux, WSL, and macOS.

The project is particularly focused on making model fine-tuning more efficient by reducing memory usage and improving training performance. It can also run local models and connect them to coding agents and other tools.

Features

Unsloth provides a graphical environment for downloading, running, and training open models. Users can search for models, run them locally, fine-tune them, and export the resulting models to formats such as GGUF and safetensors.

Key features include:

• Local LLM inference

• LLM fine-tuning

• Vision and multimodal models

• Audio models

• Embedding models

• Diffusion models

• GGUF support

• MLX support

• LoRA and other fine-tuning workflows

• Model export

• RAG

• Web search

• Tool calling

• Code execution

• MCP support

• Multi-GPU support

• Claude Code integration

• OpenAI Codex integration

• OpenCode integration

• Docker support

• Self-hosted web interface

• Python API and notebooks

Unsloth Start can connect local models to supported AI coding agents, allowing tools such as Claude Code and Codex to use models running through Unsloth.

The platform also supports several hardware backends. The project lists NVIDIA, AMD, Intel, CPU, and Vulkan support, although capabilities differ depending on the hardware and workload.

Download Unsloth v0.1.905-beta - Software Mirrors
Unsloth v0.1.905-beta for Windows Unsloth-Desktop-Windows.exe | 22.02 MB Unsloth-Desktop-Windows-ARM64.exe | 21.48 MB
Unsloth v0.1.905-beta for macOS Unsloth-Desktop-MacOS.dmg | 23.63 MB
Unsloth v0.1.905-beta for Linux Unsloth-Desktop-Ubuntu.deb | 25.55 MB Unsloth-Desktop-Ubuntu-ARM64.deb | 25.87 MB Unsloth-Desktop-Linux.AppImage | 172.29 MB
Others Download related to Unsloth v0.1.905-beta Unsloth-Desktop-ARM64.app.tar.gz | 23.44 MB
Unsloth v0.1.905-beta Source Code Unsloth v0.1.905-beta Source code (zip) Unsloth v0.1.905-beta Source code (tar.gz)
Unsloth v0.1.905-beta Release Notes: Turn any text or vision LLM into a Jev-style decision model in Unsloth, with decision accuracy going from 30% to 80%. Train, test, export and serve decision models directly from Unsloth. Also included: native ComfyUI models, diffusion improvements and a better Browser in Desktop. Highlights 8th Oct Fixes - Better Browser + 100+ bug fixes + perf fixes Sandboxing with Bwrap for Linux, Seatbelt for Mac and MXC for Windows Turn any model into a Jev-style decision model. Accuracy went from 30% to 80% Load ComfyUI diffusion models natively in Unsloth Faster + more accurate diffusion with INT8 ConvRot and more https://github.com/user-attachments/assets/92959172-d2a2-450b-a5bf-6369a1e5ae16 Decision models Train any text or vision LLM as a Jev-style decision model using QLoRA. Test trained models directly from the Decision API settings. Make decisions with confidence scores for every option. Export Clef models with Qwen3.5 backbones and Laya models to GGUF. Serve supported decision models through llama.cpp, including models that understand images. Save and resume smaller adapter and decision-head checkpoints. Guide at https://unsloth.ai/docs/basics/train-your-own-decision-model-with-unsloth Diffusion + ComfyUI Run supported ComfyUI image and video models directly from Hugging Face. Unsloth now recognises ComfyUI checkpoints and local model folders automatically. Use your ComfyUI text encoders and VAEs in Unsloth. Run Krea-2, HunyuanImage-2.1 and Wan2.2 expert pairs, plus ComfyUI NVFP4 and MXFP8 models. Qwen-Image-2.1 now keeps more full-precision image detail with INT8 ConvRot enabled by default. Faster Qwen-Image-2.1 ConvRot generation on supported NVIDIA GPUs. Training + performance Train Qwen3.5-35B-A3B up to 4.1x faster and Qwen3-30B-A3B up to 3.3x faster with QLoRA on A100 and RTX PRO 6000. Improved sample packing for gated-delta, Mamba2 and short-convolution models. Train prompt and completion message lists as one conversation. Vision datasets now keep each row's own question. Chat exports and training data now include the system prompt. Browser + Desktop Ask about open pages in the Desktop Browser. Confirm Browser downloads and choose where files are saved. Reorder pinned pages in the sidebar like chats. Search continues past unusable results and can fall back to Wikipedia. Reply citations such as [1] now open as links. Pick, pin or unload RAG embedding models directly from the RAG menu. Sandboxing Bwrap on Linux, Seatbelt on Mac and MXC on Windows sandbox code the model runs. View sandbox status and choose protection levels in Settings. Download Unsloth Desktop Unsloth Desktop is free and open source. Download it for: -- Platform -- Link -- Windows -- Download -- macOS -- Download -- Linux x64 / Ubuntu (deb) -- Download -- Linux ARM64 / Ubuntu 24.04+ (deb) -- Download -- Linux x64 (AppImage) -- Download -- Windows ARM64 -- Download What's Changed Bump install.sh / install.ps1 pins to unsloth>=2026.10.1, unsloth-zoo>=2026.10.1 by @danielhanchen in #12869 Studio: list embeddinggemma-2 first in the embedding model picker by @shimmyshimmer in #12870 Repair three checks that went red on main with the 10-06 Studio merges by @danielhanchen in #12868 Studio: run ComfyUI-format video quants on the int8 / fp8 runtimes by @danielhanchen in #12851 Studio: free PyAV's per-thread scalers before a fork so preexec_fn spawns still exec by @danielhanchen in #12863 Tests: give the setup.ps1 download progress pwsh its own startup cache by @danielhanchen in #12882 Studio: fill the Hebrew and Swedish strings that left the strict i18n check red on main by @danielhanchen in #12881 Baseline the eight unsloth-zoo 2026.10.1 findings after review by @danielhanchen in #12884 Support every PEFT init_lora_weights option, with fast PiSSA and MiCA init by @Suchitra-idu in #6879 Sandbox test: wait for the cache scan workers before counting them by @danielhanchen in #12896 Studio: keep browser panel tooltips, toasts and menus visible over desktop web pages by @oobabooga in #12895 Studio: continue searching past unusable results and add a Wikipedia fallback by @oobabooga in #12892 Studio: list every Transcribe ASR model in Voice settings by @Etherll in #12898 Frontend test: give the cold Vite SSR render in reasoning-source-render room on a loaded runner by @danielhanchen in #12903 Run shell suites and Windows browser checks in parallel by @oobabooga in #12899 Studio: add a New badge beside Audio in the sidebar by @Etherll in #12891 Composer settings driver: poll the submitted list instead of reading it once after the key press by @danielhanchen in #12920 Studio: support current native builds and preserve CPU asset selection by @oobabooga in #12902 Studio: pick the quant of a GGUF dictation model in Voice settings by @Etherll in #12900 fix(studio): stop a managed runtime when the client drops its stream by @goodmai in #12266 Studio: train prompt/completion message lists as one conversation by @NilayYadav in #12910 Studio: keep each row's own question when training on a vision dataset by @NilayYadav in #12909 Studio: train transparent PNG and WebP images on white instead of black by @NilayYadav in #12908 Use the requested max_seq_length for encoder embedding models by @NilayYadav in #12915 Studio: show the LAN address on the API page when LAN access is on by @NilayYadav in #12906 Studio: hide the negative prompt on image models that ignore it by @NilayYadav in #12914 Keep the notebook and saved model when unsloth-run runs a URL by @NilayYadav in #12907 Studio: drag pinned pages in the sidebar like chats by @shimmyshimmer in #12927 Studio: Ask about this page on every page, desktop included by @shimmyshimmer in #12926 Docker: allow unsloth_root_shim.py into the build context by @danielhanchen in #12929 Tauri transport test: start the late backend after the old ladder is spent, not at 3s by @danielhanchen in #12930 Studio: simpler icons for the audio pages, one audio icon in the Library by @Etherll in #12890 Desktop contract: count #12927's scaled sidebar row by @danielhanchen in #12931 fix(studio): preserve skill mention intent and denied preload context by @wasimysaid in #12841 Studio: embedding model picker, pins and eject in the RAG menu by @shimmyshimmer in #12875 install-kernels: skip mamba_ssm below sm80 by @danielhanchen in #12921 Gemma-4 26B/31B: train with the empty thought channel on non-thinking turns by @danielhanchen in #12867 Studio: try a decision from the Decision API settings by @NilayYadav in #12916 Studio: confirm browser downloads, choose the download folder by @shimmyshimmer in #12832 Studio: default Qwen-Image-2.1 int8 to the hosted ConvRot file, with shared rotations by @danielhanchen in #12874 Studio: recognise ComfyUI checkpoints by name and header, and list ComfyUI model folders by @danielhanchen in #12878 studio: install the gstreamer recording plugins with the deb package by @mahiatlinux in #12905 Studio: turn [1]-style citations in replies into links by @NilayYadav in #12912 Studio: include the chat's system prompt in exports and training data by @NilayYadav in #12913 studio: guard project submits during IME composition by @mahiatlinux in #12924 studio: scope speech download cancellation to its attempt by @mahiatlinux in #12925 studio: keep general settings from restoring stale tokens by @mahiatlinux in #12922 Studio: show when Windows MXC already runs in the built-in container by @danielhanchen in #12938 Studio: key the diffusion compile cache by the loaded quant variant by @danielhanchen in #12887 Studio: rebuild an image / video GGUF from the cached copy when only its header changed by @danielhanchen in #12928 Scope UNSLOTH_HIGH_PRECISION_LAYERNORM to the load that sets it by @danielhanchen in #12873 fix(studio): honor llama.cpp update dismissal and snooze by @wasimysaid in #12934 Keep flash attention from reading Qwen3.5 mRoPE position ids as packed sequences by @danielhanchen in #12856 Studio: load Wan2.2-A14B expert pairs and tell LTX-2.3 distilled from dev by its weights by @danielhanchen in #12872 Train a decision model from a plain language model by @danielhanchen in #12772 Train any text or vision LLM as a Clef decision model from Studio, with FastDecisionModel.predict and adapter saves by @danielhanchen in #12876 Studio: install transformers releases needing hub >= 1.31, and transformers main after consent by @danielhanchen in #12871 Correct sample packing for hybrid models (gated-delta, Mamba2, short conv) by @kfastino in #9812 Studio: read replies aloud without markdown symbols by @AzizMuminov in #12598 Studio: finish an update with the setup script it installed by @Etherll in #12897 Serve decision models through llama.cpp in Studio, and export them to GGUF by @danielhanchen in #12939 studio: fix live monitor background in light mode by @mahiatlinux in #12904 Studio: show the hosted text encoder download in image load progress by @Etherll in #12894 Studio: update the audio.cpp runtime from the in-app update by @Etherll in #12893 Settings contract: read the embedding picker's stacking classes inside cn() too by @danielhanchen in #12945 install-kernels: install mamba_ssm on sm75 with Triton 3.4+ by @danielhanchen in #12944 Studio: load Wan2.2 hosted FP8 / INT8 files, and hosted files under low_vram by @danielhanchen in #12888 Studio: load a single .safetensors DiT from any Hugging Face repo by @danielhanchen in #12879 fix(studio): remember per-GPU layer ratios by @Imagineer99 in #12774 Studio: load ComfyUI Krea-2 and HunyuanImage-2.1 single-file DiTs by @danielhanchen in #12885 Studio: load ComfyUI text encoder and VAE files beside a single-file DiT by @danielhanchen in #12883 Studio: load ComfyUI nvfp4 and mxfp8 DiT single files by @danielhanchen in #12877 Studio: keep $PATH, $HOME and other shell variables as text, not maths by @NilayYadav in #12911 Studio: price the context meter off a tool loop's final pass, not the whole turn's completions by @sumingwang233 in #12889 Studio: open Try a decision with the trained model after Use in Decision API by @NilayYadav in #12953 Studio: harden browser downloads after #12832 by @danielhanchen in #12943 Repair four checks that went red on main with the decision-model merges by @danielhanchen in #12954 Bump install.sh / install.ps1 pins to unsloth>=2026.10.2 by @danielhanchen in #12960 install-kernels: tidy the sm75 mamba_ssm follow-ups by @danielhanchen in #12948 Studio frontend: bump proxy-addr, seroval and MCP SDK for npm advisories by @danielhanchen in #12932 Studio: close managed-account and API-key gaps in owner-only routes by @danielhanchen in #12940 Studio: harden S3 dataset keys, uv fallback, header reads and auth body cap by @danielhanchen in #12936 Decision models: follow-up fixes after #12772, #12876, #12939 by @danielhanchen in #12949 Fix the backend CI guards main fails after the decision and ComfyUI merges by @danielhanchen in #12958 Baseline the two unsloth-zoo 2026.10.2 findings after review by @danielhanchen in #12956 Installer differential: ignore winget spinner frames in the transcript by @danielhanchen in #12965 tests: keep the Kaggle launcher's signal handlers out of the pytest worker by @danielhanchen in #12974 Stop test_dataset_cache_safe leaking the Hub no-symlink switch into later tests by @danielhanchen in #12973 Studio: keep Deep Research tables intact when a cited title has a pipe by @NilayYadav in #12990 Studio: keep tool call arguments in Qwen3.5 safetensors and MLX prompts by @NilayYadav in #12988 Fix linked-folder indexing of hidden subdirectories by @Imagineer99 in #12972 Studio: compact long chats on self-hosted connections to the window the server reports by @oobabooga in #12975 Studio: show project sources as unused on models without tools by @NilayYadav in #12993 Studio: show a download card when the python tool edits an attached file by @NilayYadav in #12992 Studio: stop crashing on a lowercase boolean in PYTORCH_ALLOC_CONF by @oobabooga in #12976 Studio: decode pages in the browser panel the way browsers do by @NilayYadav in #12983 Studio: use llama-server for embedding models the installed sentence-transformers cannot load by @oobabooga in #13005 Studio: train vision datasets that have some rows without an image by @NilayYadav in #12991 Support text attachments in per-chat prompt queues by @Imagineer99 in #12964 Studio: make Thinking off and Preserve thinking work on Qwen3.6 by @NilayYadav in #12989 Studio: smaller settings info icons, engine notes under the engine name by @shimmyshimmer in #13008 Studio: static dark dropdown glow, and stop modal opens restyling the page by @shimmyshimmer in #13013 Studio: open video attachments in the browser panel by @shimmyshimmer in #13007 Studio: show a site's own error page in the browser panel by @NilayYadav in #12986 Studio: list typed-decisions datasets first for decision training by @NilayYadav in #12982 Keep the model a training script saves when it runs in Docker by @NilayYadav in #12994 Skip the fast LoRA paths when lora_B has a bias by @vineethsaivs in #12981 Studio: prefer llama-server for EmbeddingGemma in the embedding model picker by @oobabooga in #13006 Studio: ask before numpy pickle loads, keep audio tags inline, cap the variable-prose regex by @danielhanchen in #13001 Studio: parse Yahoo's newer result layout in web search by @oobabooga in #12980 Update the flex large head dim mask tests to the unpadded causal-mask skip by @danielhanchen in #13018 Studio: serve whisper-server under a random per-launch request path by @danielhanchen in #13002 Studio: find nvidia-smi under WSL on every query, count Core Ultra Arc iGPUs as XPU, cut GPU masks at an invalid index by @danielhanchen in #12962 Studio: make llama-fit-params executable after the macOS prebuilt install by @jayzhou2309 in #12917 Studio: leave a bracketed IPv6 host unchanged in dial_host by @drakeo338 in #12733 Studio: build VAE tile blend weights on CPU so MPS tiled encode works by @gokay-ai in #12937 Studio: run llama-server with a per-launch API key by default by @danielhanchen in #13011 Studio: keep new image sets from merging into an existing one by @NilayYadav in #12987 install.sh: install for the discrete AMD GPU when an iGPU is listed first by @danielhanchen in #12963 FastModel: fall back to Unsloth inference on GPUs older than Volta by @danielhanchen in #12959 Unsloth Studio (AMD): show each GPU's live VRAM and utilization under its own HIP id by @danielhanchen in #12961 Studio: Downloads button in the browser panel by @shimmyshimmer in #13009 Studio: keep a chat's HTML pages with that chat by @NilayYadav in #12985 Studio: make the browser's right-click downloads work on macOS by @shimmyshimmer in #13003 Studio: put the skill row chevron next to the skill name by @shimmyshimmer in #13033 Studio: close refused tool calls under tool_choice none by @Beverly621 in #12627 Studio: keep browsing from a temporary chat out of browser history by @NilayYadav in #12984 Studio: duplicate a past training run into a new Configure draft by @Padi142 in #12979 Unsloth Studio / Desktop: show a cached image GGUF as Partial until Run has its text encoder and VAE by @LeoBorcherding in #12557 Load one tensor at a time when quantizing a 16-bit checkpoint, so Qwen3.5-27B 4-bit loads without Block Swap by @LeoBorcherding in #12997 Studio: show the real cause when a desktop install runs out of disk space by @huntersgordon in #12919 Fix notebook failures on Kaggle T4x2 and duplicate import warnings by @danielhanchen in #13024 Studio: skip the Xet probe's GPU-init-off zoo retry on GPU hosts by @arcusbuilds in #12478 Studio: stop MXC read grants looping on a Microsoft Store Python by @danielhanchen in #13025 Studio: avoid a TypeError after a tools module reload by @jiangLLM in #11506 Studio: retry web search over HTTP/1.1 when the connection is reset by @danielhanchen in #13032 Studio: stop a Git Bash nul file from blocking every Windows MXC tool call by @danielhanchen in #13037 Decline the packed INT4 kernel when weight_scale has the wrong group count by @jayzhou2309 in #12957 Studio: let another account join the resident GGUF instead of replacing it by @danielhanchen in #13038 Studio: give the annotate comment box a visible shadow in dark mode by @shimmyshimmer in #13071 Installer: read the venv's torch in isolation so a PYTHONPATH torch cannot break the install by @danielhanchen in #13041 Studio: keep tensor split and MTP when Auto would pick a DFlash drafter that aborts it by @danielhanchen in #13040 Allow backward through eval-mode and for_inference forwards by @danielhanchen in #13050 Make Q-GaLore optimizer state resumable from checkpoints by @danielhanchen in #13051 Studio: Docs links for Sandbox, Agents and the Decision API by @shimmyshimmer in #13076 Studio: serve decision models through the MLX engine on Apple Silicon by @Lyxot in #13015 Studio: pin FastFlowLM 1.0.7 for Qwen3.8 27B on the AMD NPU and keep Lemonade / FastFlowLM current by @danielhanchen in #13047 Studio: report the real llama.cpp version for source builds by @danielhanchen in #13036 Studio: name media companion downloads by component, and show what Run still fetches for an on-device GGUF by @danielhanchen in #13027 Studio: keep a dragged annotate area the size it was drawn by @shimmyshimmer in #13070 Studio: load a repo id from its scan-folder copy instead of re-downloading it by @danielhanchen in #13034 Train EXAONE 3.5: name the token embedding remote code no longer exposes by @danielhanchen in #13058 New Contributors @kfastino made their first contribution in #9812 @sumingwang233 made their first contribution in #12889 @drakeo338 made their first contribution in #12733 @Beverly621 made their first contribution in #12627 @Padi142 made their first contribution in #12979 @huntersgordon made their first contribution in #12919 @arcusbuilds made their first contribution in #12478 @jiangLLM made their first contribution in #11506 Full Changelog: v0.1.903-beta...v0.1.905-beta

Performance and Compatibility

Performance is one of Unsloth's main purposes. Its training optimizations are designed to reduce memory requirements and speed up fine-tuning compared with conventional training workflows.

Actual performance depends heavily on the model, quantization, GPU, available VRAM, dataset, batch size, and training configuration. The project supports multi-GPU setups and provides specialized guidance for newer NVIDIA hardware, AMD GPUs, Intel GPUs, and Apple silicon.

Unsloth Studio can run on Windows, Linux, WSL, and macOS. The project also provides native desktop packages for Windows, macOS, and Linux, while the Studio interface can be installed separately and accessed through a local web interface.

macOS users can run models through MLX and GGUF, while supported Apple Silicon systems can also perform training workflows. NVIDIA GPUs provide the broadest support for training workloads, while AMD and Intel support varies by backend and feature.

Because Unsloth works with local models, storage requirements can become significant. Model weights, datasets, checkpoints, caches, and exported models can consume substantially more storage than the application itself.

System Requirements

Unsloth does not have one fixed hardware requirement because different workloads have very different resource requirements.

Supported platforms include:

• Windows

• Linux

• WSL

• macOS

• NVIDIA GPUs

• AMD GPUs

• Intel GPUs

• Apple Silicon

• CPU-only operation for supported workloads

For the code-based installation, the current documentation uses Python 3.13 with uv for Linux, WSL, and Windows installations.

GPU training requires a compatible backend and sufficient memory for the selected model and training configuration. Larger models generally require more VRAM or system memory, while quantized models can substantially reduce the memory requirement.

Docker is also supported, with official images available for different environments and GPU configurations.

Pros and Cons

Pros

• Free and open source

• Local model inference

• Fine-tuning support

• Memory-efficient training optimizations

• Supports multiple model types

• GGUF support

• MLX support

• RAG capabilities

• MCP support

• Tool calling

• Code execution

• Multi-GPU support

• Windows, Linux, WSL, and macOS support

• NVIDIA, AMD, Intel, and CPU support

• Apple Silicon support

• Docker support

• Desktop application

• Web interface

• Python-based workflows

• Supports AI coding agents

Cons

• Hardware requirements vary significantly by model

• Large models require substantial VRAM or system memory

• Training workflows can be technically complex

• Different hardware backends do not provide identical capabilities

• Model files and training datasets can consume considerable storage

• Some advanced workflows require command-line or Python knowledge

How to Install

The simplest option is Unsloth Desktop. The project provides native packages for Windows, macOS, and Linux. Linux users can choose DEB or AppImage packages, while macOS and Windows have dedicated installers.

For Unsloth Studio, macOS, Linux, and WSL can use:

curl -fsSL https://unsloth.ai/install.sh | sh

Windows can use:

irm https://unsloth.ai/install.ps1 | iex

After installation, start the Studio interface with:

unsloth studio

The interface runs locally and can be accessed through a web browser.

For developers who prefer the Python package, Unsloth Core can be installed inside a virtual environment. The project currently recommends using uv to create the environment and install Unsloth with automatic PyTorch backend selection.

Docker is another option for users who prefer an isolated environment or need a reproducible setup.

Final Verdict

Unsloth is more than a fine-tuning library. Its current ecosystem combines local model inference, training, model conversion, RAG, tool calling, AI agents, and a graphical Studio interface into a single open-source platform.

Its biggest strength is flexibility. Users can start with the desktop application and local models, then move to Python-based fine-tuning or Docker when they need more control. Support for multiple hardware platforms also makes it useful across a wider range of systems, although the available capabilities vary between backends.

The main limitation is complexity. Unsloth is aimed at users working with local AI models rather than people looking for a simple chatbot. Model size, VRAM, training configuration, and hardware compatibility all have a significant impact on the experience.

Free

Download

Software Informations:
Developer:
Unsloth
Operating System:
Windows / macOS / Linux
Date Added:
2026-10-09T03:03:47.758Z

Albus Bit NTFS Permissions Auditor 26.10.8 - Discount 20% OFF

NTFS Permissions Auditor is a Windows utility designed to analyze, report, and audit NTFS file system permissions. It helps identify risky permissions, inconsistencies, and unintended access rights on files and folders across local drives or network shares.

Unlike manual examination using Windows Explorer’s security tabs (which can be slow and error-prone) this tool automates analysis and presents results in clear, actionable reports.

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Key Features

Comprehensive Permission Scanning

NTFS Permissions Auditor scans folders and subfolders to gather permission data, including:

• User access rights

• Group memberships

• Inherited vs explicit permissions

• Effective rights for accounts

This provides a full picture of who can read, write, delete, or modify files.

Visual Permission Mapping

One of the helpful functions is its ability to display permission maps and hierarchies, showing how rights flow through nested folders and groups. This makes complex ACL structures easier to understand.

Report Generation and Export

The tool can export permission reports in multiple formats such as CSV, HTML, and XLSX. These reports are useful for audits, compliance documentation, and security reviews.

Group and User Filtering

You can filter results by user or group, making it easy to focus on specific accounts or sensitive folders.

Network Share Support

NTFS Permissions Auditor works not only on local drives but also on mapped and UNC network paths, making it useful for enterprise environments.

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Performance and Ease of Use

The user interface is functional and focused on data presentation rather than aesthetics. Permission scans are typically fast, though very large file systems may take longer depending on system resources.

Results are displayed in expandable lists and tables, and filtering tools help narrow down specific permission issues quickly.

While the interface may feel technical to casual users, administrators and security professionals will appreciate the depth of detail provided.

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Pros and Cons

Pros

• Detailed and accurate permission scanning

• Visual maps help simplify complex ACLs

• Exportable reports for compliance needs

• Works across local and network drives

• Effective filtering based on users or groups

Cons

• Designed for IT professionals; not ideal for casual users

• Interface is utilitarian, not polished

• Some advanced features may require training to master

---

Who Should Use NTFS Permissions Auditor?

This tool is especially useful for:

• System administrators managing file servers

• Security auditors performing permissions reviews

• IT teams responsible for compliance and access control

• Organizations with sensitive data and strict access policies

If you need to audit NTFS permissions effectively and generate clear reports, NTFS Permissions Auditor provides the necessary tools.

---

Final Verdict

NTFS Permissions Auditor is a strong and specialized utility for auditing file permissions on Windows systems. Its detailed analysis, reporting capabilities, and support for network paths make it valuable for administrators and security teams.

If you manage Windows file servers, network shares, or any environment where NTFS permissions matter, NTFS Permissions Auditor is a handy tool for auditing, reporting, and securing access rights. NTFS Permissions Auditor is built for administrators and auditors who need clear visibility into file and folder access controls.

For professionals who need reliable NTFS access review and reporting, NTFS Permissions Auditor is a practical choice.

$239$299

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Software Informations:
Developer:
Albus Bit
Operating System:
Windows
Date Added:
2026-10-09T01:03:43.790Z

ChatGPT desktop app for macOS (08 Oct 2026)

ChatGPT for macOS is OpenAI's official desktop application for bringing ChatGPT directly into the macOS workflow. The current application combines Chat, Work, and Codex in a single desktop environment, making it considerably more capable than a conventional web-app wrapper.

The app can work with local files, projects, desktop applications, development environments, and the user's computer. For developers, Codex provides access to local repositories, terminals, Git workflows, and other development tools. For general users, Work can research information and create documents, spreadsheets, presentations, reports, and other outputs.

Features

ChatGPT for macOS provides a broad collection of desktop-oriented features:

• ChatGPT conversations

• Projects

• Work for research and content creation

• Codex coding agent

• Local files and folders

• Desktop application integration

• Computer Use

• Built-in browser

• Browser extensions

• File previews

• Git and repository workflows

• Local terminals

• Worktrees

• MCP integrations

• Plugins and skills

• Scheduled tasks

• Appshots for sharing the active application with ChatGPT

• Long-running tasks

• Remote Codex workflows

• Configurable keyboard shortcuts

• Always-on-top chat windows

• Custom machine instructions through AGENTS.md

One of the most useful macOS-specific features is Work with Apps. ChatGPT can read and, where supported, edit content in compatible applications such as coding environments and text editors. This allows a user to ask questions about code or documents without repeatedly copying content into the ChatGPT window.

The global Chat Bar is another convenient feature. Pressing Option + Space opens ChatGPT without requiring the user to switch manually to the application. The keyboard shortcut can be customized in Settings.

Download ChatGPT desktop app for macOS - Software Mirrors
Download ChatGPT desktop app for macOS (Online Installer) Download ChatGPT desktop app for macOS (Offline installer Apple Silicon) Download ChatGPT desktop app for macOS (Offline installer Intel x64)

Performance and Compatibility

The macOS application requires macOS 14 or later and supports both Apple Silicon and Intel Macs. OpenAI provides the appropriate installer based on the Mac's processor architecture.

The application integrates deeply with macOS through system permissions. Work with Apps can use the macOS Accessibility API to inspect supported applications, while Computer Use can use Screen Recording and Accessibility permissions to interact with the desktop. These permissions can be revoked through macOS Privacy & Security settings.

Computer Use is particularly interesting on macOS. ChatGPT can click, type, and navigate supported desktop applications and local files. Unlike the Windows implementation, macOS Computer Use can continue working in the background while the user uses other applications. A picture-in-picture preview shows what the agent is doing.

For developers, Codex provides a much deeper local workflow. It can work with repositories, local files, terminals, Git, worktrees, MCP servers and installed development tools. This turns the application into a useful development environment rather than simply a conversational client.

The application also supports remote workflows. Codex running on a Mac can be accessed remotely from supported mobile workflows, allowing work to continue on the Mac while being monitored from another device.

System Requirements

The current ChatGPT macOS app requires:

• macOS 14 or later

• Apple Silicon or Intel processor

• Internet connection

• ChatGPT account

The application supports both Intel and Apple Silicon Macs.

For advanced workflows, additional software may be required. Developers using Codex can use tools such as Git, programming language runtimes, terminals, IDEs, and MCP servers according to their particular workflow.

Pros and Cons

Pros

• Official OpenAI macOS application

• Combines Chat, Work and Codex

• Excellent macOS integration

• Global Option + Space shortcut

• Local file and project support

• Work with Apps integration

• Computer Use

• Codex for local development

• Git and worktree workflows

• Integrated browser

• MCP and plugin support

• Appshots

• Long-running tasks

• Remote Codex workflows

• Supports Intel and Apple Silicon

• Can continue Computer Use tasks in the background

• Always-on-top and pop-out chat options

Cons

• Requires macOS 14 or later

• Some features require macOS system permissions

• Advanced features can be complex to configure

• Computer Use should be granted only the permissions necessary for the task

• Some application integrations require additional extensions or configuration

• The new application and ChatGPT Classic can coexist, which may initially be confusing for existing users

How to Install

Download the official ChatGPT macOS application and open the installer. Sign in using your ChatGPT account after launching the application.

OpenAI currently distinguishes the new application from ChatGPT Classic. The new application provides Chat, Work, and Codex, while Classic remains available for users who need the previous desktop experience and continues to receive maintenance and security updates.

After signing in, you can create a project, open a local folder, or start a normal conversation.

For developer workflows, select Codex from the application's top-left menu and open a project directory. Codex can then inspect files, edit code, run commands, and work with the development tools installed on the Mac.

For desktop automation, enable the required Accessibility and Screen Recording permissions under macOS Privacy & Security settings before using Computer Use.

Final Verdict

ChatGPT for macOS is one of the most capable AI desktop applications available for the Mac. Its value comes from how deeply it integrates ChatGPT into the operating system rather than simply reproducing the web interface in a desktop window.

The combination of Chat, Work, and Codex is particularly strong. General users can use Work for research and document creation, while developers can switch to Codex and work directly with repositories, terminals, Git and local development environments.

The macOS-specific integration is another major advantage. The global Chat Bar, Work with Apps, Appshots and Computer Use allow ChatGPT to operate in the context of what the user is actually doing on the desktop.

Computer Use is especially impressive because macOS can allow the agent to continue working in the background while the user does something else. That makes the Mac implementation particularly well suited to longer desktop automation tasks.

The main downside is complexity. Once Work, Codex, MCP, plugins, app permissions, browser tools and Computer Use are enabled, the application becomes a fairly sophisticated AI workspace rather than a simple chat client.

For Mac users who want ChatGPT integrated into everyday desktop work, especially developers and power users, ChatGPT for macOS is an excellent desktop application.

Free

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Software Informations:
Developer:
OpenAI
Operating System:
macOS
Date Added:
2026-10-09T01:03:42.611Z

Option File PES 6 (season 2014/2015 - 2016/2017)

Pro Evolution Soccer 6 (PES 6) is my favorite Football game because it is do not need much system resource and can play very well on my mini netbook. It is enough for me, as long as I can play it smoothly on my old computer. But it will be better if I can update the players to the latest transfers. Like the transfer of Di Maria to PSG, Anthony Martial to Manchester United, and many more player transfers. And Option File PES 6 (season 2014/2015 - 2016/2017) is what I need.

Pro Evolution Soccer 6 (PES 6) is based on players from season 2006/07. Of course, it will be very difficult if you want to manually transfer the player from one club to another and not to mention the new young players that rises every season, so How to Update Player Transfers on Pro Evolution Soccer 6 (PES 6)?

There is something called Pro Evolution Soccer Option File. With Option File PES 6 (season 2014/2015 - 2016/2017), you only need to over write the old option file to a new option file and you will have the players from the latest transfers. Not just the players, you will also have the latest jersey of the club and the country. It is all depend on the option file that you use.

PES6 Option File name is "KONAMI-WIN32PES6OPT" and located at "C:\Documents and Settings\USER\My Documents\KONAMI\Pro Evolution Soccer 6\save\folder1" (USER is your Windows Account User). Delete or remove all the file on that folder, and copy and paste the newly downloaded option file to the folder. Make sure the file name is exactly "KONAMI-WIN32PES6OPT".

Warning, remove the option file will also mean to delete all your saved league or replay. That is all I know about How to Update Player Transfers on Pro Evolution Soccer 6 (PES 6), and please use the comment form below if you want to share your option file. Thank you.

Download Option File PES 6 (season 2014/2015 - 2016/2017)

• PES6 Option File 2014/2015

• PES6 Option File 2015/2016

• PES6 Option File 2016/2017

Free

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Software Informations:
Developer:
Others
Operating System:
Windows
Date Added:
2026-10-09T00:03:57.235Z

Internet Download Manager (IDM) 6.43 Build 15

Internet Download Manager is a Windows based download manager developed to optimize file transfers from the internet. It supports HTTP, HTTPS, FTP, and several streaming protocols. The software integrates seamlessly with popular browsers and automatically captures downloadable content such as videos and audio from supported websites.

Internet Download Manager is widely used by professionals, students, and everyday users who frequently download large files or media content.

Key Features of Internet Download Manager

Accelerated Download Speed

Internet Download Manager increases download speed by splitting files into multiple parts and downloading them simultaneously. This technology makes full use of available bandwidth.

Resume Capability

If a download is interrupted due to network issues or system shutdown, Internet Download Manager can resume the download from where it stopped instead of starting over.

Browser Integration

The software integrates with major browsers such as Chrome, Firefox, Edge, and others. It automatically detects downloadable files and provides a simple download option.

Video and Audio Downloader

Internet Download Manager can download videos and audio from many streaming websites. It supports multiple formats and quality options depending on the source.

Download Scheduler

Users can schedule downloads to start or stop at specific times. This feature is useful for managing bandwidth or downloading files overnight.

File Management

The software organizes downloaded files automatically by type such as video, music, documents, or compressed files. This keeps downloads clean and easy to manage.

Queue and Batch Downloads

Internet Download Manager allows users to queue multiple downloads and process them sequentially or simultaneously based on preferences.

Virus Check Integration

The software can work with installed antivirus programs to scan downloaded files automatically, improving security.

Benefits of Using Internet Download Manager

Faster and More Reliable Downloads

Advanced acceleration and resume features ensure downloads complete successfully even on unstable connections.

Saves Time

Large files that normally take hours can be downloaded much faster using multi connection technology.

Easy to Use Interface

Internet Download Manager offers a simple and intuitive interface suitable for beginners and advanced users.

Ideal for Media Downloads

The built in video detection makes it easy to save online videos for offline viewing.

Lightweight and Efficient

The software runs efficiently in the background without consuming excessive system resources.

Internet Download Manager remains one of the most trusted and effective download managers for Windows. Its powerful acceleration technology, resume support, browser integration, and media downloading capabilities make it a must have tool for efficient internet usage. For users looking to maximize download speed and reliability, Internet Download Manager continues to be a top choice.

Internet Download Manager is one of the most popular download acceleration tools for Windows. It is designed to increase download speeds, resume interrupted transfers, and manage files efficiently. With advanced segmentation technology and browser integration, Internet Download Manager helps users download videos, documents, software, and large files faster and more reliably.

$24.95

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Software Informations:
Developer:
Tonec Inc.
Operating System:
Windows
Date Added:
2026-10-09T00:03:46.771Z

Affinity by Canva 3.3.1.4940

Affinity by Canva refers to the Affinity creative suite that includes Affinity Photo, Affinity Designer, and Affinity Publisher, now under Canva’s ecosystem. These tools are designed for advanced image editing, vector design, and publishing, offering a complete workflow for creative professionals.

Unlike many competitors, Affinity products are available with a one-time purchase. This makes them appealing for users who want long-term access without recurring payments.

Affinity by Canva has become a strong alternative for creatives who want powerful design tools without being tied to ongoing subscription costs. Built on the well-known Affinity suite and now supported by Canva, this software delivers a professional-grade experience for designers, photographers, and illustrators who value control, speed, and ownership.

Download Affinity by Canva
Download Affinity by Canva for macOS Download Affinity by Canva for Windows AMD Download Affinity by Canva for Windows ARM Download Affinity by Canva for Windows AMD (Enterprise) Download Affinity by Canva for Windows ARM (Enterprise)

Key Features of Affinity by Canva

• Professional Editing Tools
  Affinity Photo delivers advanced editing capabilities including RAW processing, HDR merging, and deep layer control. It is suitable for photographers who need precision and flexibility.

• Vector Design Power
  Affinity Designer is built for creating logos, UI designs, and illustrations. It supports both raster and vector workflows in a single environment, which reduces the need to switch tools.

• Publishing and Layout Control
  Affinity Publisher allows users to create books, magazines, and marketing materials with detailed layout tools. StudioLink integration lets you access Photo and Designer features directly inside Publisher.

• High Performance Engine
  The software is optimized for modern hardware, offering smooth performance even when working with large files or complex compositions.

• No Subscription Model
  One of the biggest advantages is the pricing model. Users pay once and get full access, which is a major shift from subscription-based competitors.

User Experience

Affinity by Canva is designed with professionals in mind, but it remains accessible to beginners who are willing to learn. The interface is clean and customizable, though it may feel dense at first compared to simpler tools.

Canva’s influence also suggests future improvements in collaboration and accessibility, making it easier for teams to integrate professional design into everyday workflows.

Performance and Compatibility

The software runs on Windows, macOS, and iPad, providing flexibility across devices. Performance is consistently strong, especially when handling large design projects.

File compatibility is another strong point, with support for PSD, PDF, SVG, and other industry-standard formats.

Pros

• One-time purchase with no subscription

• Professional-grade tools across all apps

• Fast and optimized performance

• Strong file compatibility

• Integrated workflow between apps

Cons

• Learning curve for beginners

• Fewer cloud-based collaboration features compared to Canva

• Smaller plugin ecosystem compared to some competitors

Affinity by Canva is ideal for designers, photographers, and content creators who want full creative control without ongoing costs. It is also a great option for freelancers and small teams looking to maintain a professional workflow without expensive subscriptions.

Affinity by Canva stands out as a powerful and cost-effective creative suite. It combines professional tools with long-term value, making it one of the best alternatives to subscription-based design software available today.

Free

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Software Informations:
Developer:
Canva
Operating System:
Windows / macOS
Date Added:
2026-10-09T00:03:46.628Z

Youtube Downloader HD 6.1.2

YouTube Downloader HD is software that enables users to download online videos to local storage. It allows selection of video resolution and file format, including high definition options when available. The tool is often used to save content for offline viewing, archiving, or personal use where downloading is permitted.

It is suitable for casual users who want a straightforward way to download videos without advanced configuration.

Download Youtube Downloader HD Latest - Software Mirrors
Download Youtube Downloader HD for Windows 64bit (Installer) Download Youtube Downloader HD for Windows 7/8 (Installer) Download Youtube Downloader HD for Windows 64bit (Portable) Download Youtube Downloader HD for Windows 7/8 (Portable) Download AVI Video Converter

---

Key Features

High Definition Downloading

The tool supports downloading videos in multiple resolutions, including HD options when available from the source. You can choose the quality that matches your needs.

This helps you save the best possible version of the video for offline playback.

---

Multiple Format Output

YouTube Downloader HD offers several output formats, such as:

• MP4

• AVI

• MKV

These options let you choose a file type that works with your preferred media player or device.

---

Easy Interface

The user interface is designed to be intuitive:

• Paste the video URL

• Choose resolution and format

• Click download

This workflow makes it easy for beginners to use without complicated menus.

---

Batch Downloads

Some versions support batch downloading, which lets you queue multiple videos and download them one after another.

This is useful when saving many clips at once.

---

Performance and Usability

YouTube Downloader HD runs smoothly on Windows systems and completes downloads at speeds tied to your internet connection. The application remains responsive during large downloads and provides progress feedback.

Because it is focused on straightforward downloading, it lacks advanced features like metadata embedding or streaming support.

---

Pros and Cons

Pros

• Simple and easy for beginners

• Supports HD video downloads

• Multiple output formats

• Batch download capability

Cons

• Limited advanced features

• Some sites may not be supported

• Legal and terms considerations when downloading copyrighted content

---

Who Should Use YouTube Downloader HD

YouTube Downloader HD is ideal for:

• Casual users downloading their own or permitted content

• Users who want offline video playback

• People who prefer a simple download workflow without complexity

If you want a no-frills video download tool with basic format and quality options, this application fits that need.

---

Final Verdict

YouTube Downloader HD is a straightforward video downloading tool with support for high definition formats and multiple file types. Its simplicity makes it easy for most users to pick up and use, although it lacks advanced capabilities found in more technical download utilities.

YouTube Downloader HD is a desktop application designed to help users download videos from YouTube and other supported platforms in high definition. It focuses on simplicity and ease of use, making it accessible for anyone who wants to save online videos for offline viewing. YouTube Downloader HD scores well as a basic video download utility that gets the job done with minimal complexity.

Free

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Software Informations:
Developer:
YoutubeDownloaderHD.com
Operating System:
Windows
Date Added:
2026-10-08T23:03:51.024Z

Media Player Classic - Home Cinema (MPC-HC) 2.8.3

Media Player Classic Home Cinema is a free, open-source media player for Windows. It is lightweight, fast, and capable of playing a wide range of audio and video formats with minimal configuration. MPC-HC mimics the look of old classic media players but incorporates modern codec support.

Because it does not rely on heavy frameworks or subscription models, Media Player Classic Home Cinema is a favorite for users who want dependable playback without clutter.

Download Media Player Classic - Home Cinema (MPC-HC) 2.8.3 - Software Mirrors
Media Player Classic - Home Cinema (MPC-HC) 2.8.3 for Windows MPC-HC.2.8.3.x86.zip | 26.67 MB MPC-HC.2.8.3.x86.exe | 20.44 MB MPC-HC.2.8.3.x64.zip | 28.7 MB MPC-HC.2.8.3.x64.exe | 21.98 MB
Media Player Classic - Home Cinema (MPC-HC) 2.8.3 Source Code Media Player Classic - Home Cinema (MPC-HC) 2.8.3 Source code (zip) Media Player Classic - Home Cinema (MPC-HC) 2.8.3 Source code (tar.gz)
Media Player Classic - Home Cinema (MPC-HC) 2.8.3 Release Notes: Donations are appreciated. There is now a PayPal option. Changes from 2.8.2 to 2.8.3: Updates: Updated MPC Video Renderer to version 0.10.8.2600 Updated MediaInfo DLL to version 26.10 Changes/additions: Added a new modern theme variant for dialogs and menus that is based on Windows 11 UI design. The existing one was based on Windows 10. You can choose preferred theme here (regardless of which Windows version you use): Options > Advanced > ModernThemeStyle. Added advanced option to use native Windows 11 menus (with rounded corners). EVR-CP/Sync now support HLG tonemapping. Improved CUE file parsing. Some internal improvements to further enhance stability. Fixes: Lots of small fixes and improvements. Full changelog Full list of all changes since start of this project. Overview of features A lot of people seem to be unaware of some of the awesome features that have been added to MPC-HC in the past years. Here is a list of useful options and features that everyone should know about: Click to expand Play HDR video This requires using either MPC Video Renderer (MPCVR) or madVR. These renderers can be selected here: Options > Playback > Output With other video renderers, the colors will be wrong! MPCVR is included and is the recommended and default renderer for modern systems. MadVR needs to be installed separately. MPCVR also supports Dolby Vision. MadVR does not. For optimal performance you should change the hardware decoder to D3D11 in LAV Video Decoder settings when using MPCVR on Windows 10/11, because this renderer uses DirectX11. The installer of MPC-HC is very basic (and that will not change). I therefore recommend using K-Lite Codec Pack. That includes MPC-HC and other essential components. It has a very advanced installation that can automatically create file associations, and helps you with easy configuration of important MPC-HC settings, such as preferred subtitle language(s). It also does automatic configuration of renderer and hardware decoding, for best performance and HDR support. The Standard version should be sufficient for most people. Use Full version of you like to use MadVR. Modern GUI Theme (Dark or Light) or the old classic theme Options > Player > User Interface It is also possible to change the height of the seekbar and size of the toolbar buttons. Plus there are options to show audio/video details in the statusbar, such as codec and resolution. Customizable toolbar buttons You can add/remove/re-order the player buttons. There are also several different toolbar designs to choose from. Video preview on the seekbar Options > Player > User Interface > Hover type Ability to search for subtitles Press D for manual search. Or enable automatic search in: Options > Subtitles > Misc Adjust playback speed Menu > Play > Playback rate The buttons in the player that control playback rate take a 2x step by default. This can be customized to smaller values (like 10%): Options > Playback > Speed step If you have 1000 IQ you can even do smart stuff like setting playback rate change to mouse right-click + scrollwheel: Options > Player > Mouse Adjusting playback speed works best with MPC Audio Renderer or SaneAR. These audio renderers have automatic pitch correction, while DirectSound does not. Options > Playback > Output > Audio Renderer MPC-HC can remember recently played files and also their playback position, so you can resume playback from when you left Options > Player > History You can quickly seek through a video with Ctrl + Mouse Scrollwheel. You can jump to next/previous file in a folder by pressing PageUp/PageDown. You can right-click on the framestep button to step backwards. Some other buttons also have right-click actions, such as closing file by right-clicking stop. You can perform automatic actions at end of file. For example to go to next file or close player. Options > Playback > After Playback (permanent setting) Menu > Play > After Playback (for current file only) A-B repeat You can loop a segment of a video. Press [ and ] to set start and stop markers. You can rotate/flip/mirror/stretch/zoom the video Menu > View > Pan&Scan This is also easily done with hotkeys (see below). There are lots of keyboard hotkeys and mouse actions to control the player. They can be customized as well. Options > Player > Keys Tip: there is a search box above the table. You can hide GUI elements even in windowed mode Options > User Interface > Hide Windowed Controls That hides most GUI elements during playback. To show them simply move your mouse to bottom of window. You can even hide everything except the video by pressing 1 (restore normal view with 3). You can seek inside the playlist by simply typing text (when playlist window has the mouse focus). MPC-HC also supports Blu-ray playback. Only limitation is that you need to use a decrypting tool. And it also does not support Blu-ray menus, but you can use the navigate menu in the player to select the content to play. Added ability to load a secondary subtitle file to view two different subtitle tracks/languages at same time. You can stream videos directly from Youtube and many other video websites Put yt-dlp.exe in the MPC-HC installation folder. Then you can open website URLs in the player: Menu > File > Open File/URL You can even download those videos: Menu > File > Save a copy Tip: to be able to download in best quality with yt-dlp, it is recommended to also put ffmpeg.exe in the MPC-HC folder. Several YDL configuration options are found here: Options > Advanced This includes an option to specify the location of yt-dlp.exe in case you don't want to put it in MPC-HC folder. Note 1: You also need to install Microsoft Visual C++ 2010 SP1 Redistributable Package (x86) Note 2: For optimal Youtube support you may also need to put deno.exe in same folder as yt-dlp. Note 3: yt-dlp nightly build (very latest version made daily) Note 4: yt-dlp windows7 compatible build Besides all these (new) features, there have also been many bugfixes and internal improvements in the player in the past years that give better performance and stability. It also has updated internal codecs. Support was added for CUE sheets, WebVTT subtitles, etc. You should really take a few minutes to look through all the options pages if you are a new user or if you are upgrading from a very old version. Don't forget the advanced options page. MPC Video Renderer Frequently Asked Questions Notes OpenSubtitles download error 406 Click to expand Subtitle downloads from OpenSubtitles may fail depending on time of day. This is due to our daily download quota being exceeded. Current amount of donations is barely enough to pay for the existing quota. So it is unlikely that quota can be increased and situation will get worse over time. If you create an OpenSubtitles account and configure it in MPC-HC settings then you may be able to bypass the quota. Options > Subtitles > Misc > Right-click on OpenSubtitles.com > Setup > Fill in username/password

---

Key Features of Media Player Classic Home Cinema

Wide Format Support

MPC-HC supports almost every popular media format out of the box, including:

• AVI, MP4, MKV

• MOV, WMV, FLV

• MP3, AAC, FLAC, OGG

• Blu-ray and DVD playback with menus

This broad compatibility means you rarely need extra codecs or plugins.

Lightweight and Fast

Media Player Classic Home Cinema launches quickly and runs smoothly even on older hardware. Its small footprint makes it ideal for low-resource systems or users who value performance.

Simple Interface

MPC-HC keeps the interface minimal and familiar. Controls are intuitive, and the player avoids cluttered menus or ads. This simplicity makes it easy for beginners while still satisfying power users.

Subtitle and Audio Track Support

The player supports multiple subtitle formats, including SRT, ASS, and SSA. You can switch audio tracks, adjust sync, and customize subtitle display easily.

Customization and Extensions

Although lightweight, MPC-HC offers useful options like:

• Playback speed control

• Video filters and renderer settings

• Keyboard shortcuts

• Integration with external codecs if needed

Advanced customization is available without overwhelming average users.

DVD and Blu-ray Playback

MPC-HC can play DVDs and some Blu-ray discs, including support for navigation menus with the right configuration.

---

Performance and Usability

Media Player Classic Home Cinema is consistently stable and responsive. It handles high-resolution content smoothly and rarely crashes. Most playback features work right after installation, so there is little setup required.

Because it is open source and free, MPC-HC has a strong community of users and contributors who help maintain compatibility and bug fixes.

---

Pros and Cons

Pros

• Free and open source

• Excellent format support

• Ultra-lightweight and fast

• Familiar and simple interface

• Works well on older hardware

Cons

• Development updates are less frequent than some alternatives

• Advanced features like streaming services integration are absent

• No official support for macOS or Linux

---

Final Verdict

Media Player Classic Home Cinema remains one of the best lightweight media players for Windows. With excellent format support, minimal resource usage, and a familiar interface, it continues to be a go-to choice for users who value performance and simplicity.

If you want a fast, no-frills media player that handles almost every video and audio format without extra bloat, Media Player Classic Home Cinema remains one of the most trusted options for Windows users..

Media Player Classic Home Cinema (MPC-HC) is ideal for users who want a simple, efficient, and highly compatible media player without subscriptions or unnecessary extras.

For efficient playback of your music and video files without unnecessary extras, Media Player Classic Home Cinema is an easy recommendation.

Free

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Software Informations:
Developer:
MPC-HC Team
Operating System:
Windows
Date Added:
2026-10-08T23:03:49.817Z