Аудио
Faster Whisper
Faster Whisper transcription with CTranslate2
★ 25,7 тыс. звёздMIT
Смотреть руководство →transcribe-anything — проект с открытым исходным кодом из категории «Аудио» от zackees (zackees/transcribe-anything на GitHub). У него 1 403 звезды на GitHub и 141 форк, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 24 сентября 2026.
Blazing-fast multi-backend Whisper transcription for any file or URL.
A single pip install gets you going.
Give it a local file path or a URL to fetch.
Pick the transcription engine that fits your hardware.
Get fast, accurate text you can save or subtitle with.
Chooses between transcription backends for speed or accuracy.
Tuned for Apple Silicon for notably fast results.
Transcribes local files or downloads from a link first.
Ships on PyPI with a simple command-line interface.
All processing happens locally — free forever.
Output works well for captions and subtitles.
Download the source and move into the project folder.
git clone https://github.com/zackees/transcribe-anything.git
cd transcribe-anythingEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at zackees/transcribe-anything with 141 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
Via pip from PyPI — check the project page for the exact install command.
Multiple Whisper-based backends; see the README for the current options.
No — it is designed to be completely private and local.
Faster Whisper transcription with CTranslate2
Port of OpenAI's Whisper model in C/C++
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Convert any file to clean Markdown for AI agents — a fast Rust MCP server.
Native desktop UI for live Whisper transcription and translation.
AWS sample app for live meeting transcription and AI summaries.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если transcribe-anything вам не подходит.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к transcribe-anything — продолжайте изучать полку по обе стороны от него.
Self-host Chatterbox TTS with web UI, API, and voice cloning.
Multilingual long-form dialogue speech with zero-shot voice cloning.
Machine-learning karaoke with scores — sing at home, for free.
Expressive TTS where emojis steer the speaking style.
Local-first meeting notes your AI coding agents can query over MCP.
A book by the HardHacker Labs team chronicling how their product Podwise grew
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.