Áudio
Faster Whisper
Faster Whisper transcription with CTranslate2
★ 25,7 mil estrelasMIT
Ver o guia →transcribe-anything é um projeto de áudio de código aberto de zackees (zackees/transcribe-anything no GitHub). Tem 1.403 estrelas no GitHub e 141 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 24 de setembro de 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.
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Native desktop UI for live Whisper transcription and translation.
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Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se transcribe-anything não for o ideal para você.
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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++
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.