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Local AI app and inference engine — open-weight LLMs, fully offline.
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Смотреть руководство →Faster-Whisper-XXL-GUI — проект с открытым исходным кодом из категории «Аудио» от cbro33 (cbro33/Faster-Whisper-XXL-GUI на GitHub). У него 129 звёзд на GitHub и 7 форков, он распространяется по лицензии GPL-3.0 и последний раз обновлялся на GitHub 11 августа 2026.
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
Fetch the source code onto your machine.
Set up the Python environment the project needs.
Copy the sample config or env file and adjust it.
Start the app from the source directory.
Built around ai for a focused workflow.
Built around audio transcription for a focused workflow.
Built around desktop app for a focused workflow.
Built around faster whisper for a focused workflow.
Inspect, fork, and modify every line of the code.
Run it on your own machine — no account lock-in.
Get the source on your machine.
git clone https://github.com/cbro33/Faster-Whisper-XXL-GUI.gitSet up Python dependencies.
cd Faster-Whisper-XXL-GUI && pip install -r requirements.txtLaunch the application.
cd Faster-Whisper-XXL-GUI && python main.pyIt gUI for Faster‑Whisper‑XXL transcription tool: download YouTube audio, transcribe local files, manage models, and export multiple formats with themes and auto yt‑dlp updates, giving you a working starting point you can run and adapt.
Yes — the code is open-source, so you can use and modify it without a license fee.
Clone the GitHub repository and follow the README; the typical flow is install dependencies, configure, and run.
It is primarily written in Python, so you will need that toolchain to build or extend it.
The GitHub repository is the hub: open issues for bugs and check the README and discussions for guidance.
Local AI app and inference engine — open-weight LLMs, fully offline.
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Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к Faster-Whisper-XXL-GUI — продолжайте изучать полку по обе стороны от него.
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