Аудио
Faster-Whisper-XXL-GUI
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
★ 129 звёздGPL-3.0
Смотреть руководство →OpenTranscribe — проект с открытым исходным кодом из категории «Аудио» от attevon-llc (attevon-llc/OpenTranscribe на GitHub). У него 98 звёзд на GitHub и 24 форка, он распространяется по лицензии AGPL-3.0 и последний раз обновлялся на GitHub 4 октября 2026.
Self-hostable AI-driven transcription platform with speaker diarization.
The README documents setup; start with the install section.
Decide what you want OpenTranscribe to do first — self-hostable AI-driven transcription platform with speaker diarizatio.
Pull the latest changes to stay current with fixes.
Change the config to match your workflow, then run it daily.
Working audio processing support built in.
Ships as a ready container.
Working fastapi support built in.
Runs faster on a graphics card.
Readable code that is easy to modify.
Free to use; network services stay open.
Download the source and move into the project folder.
git clone https://github.com/attevon-llc/OpenTranscribe.git
cd opentranscribeInstall the Python dependencies from the project.
pip install -r requirements.txtLaunch with the project entry point — check the README for the exact command.
python main.py # see README for the exact entry pointYes, but note the copyleft: it is AGPL-3.0 licensed, so distributed derivatives must stay open.
No. It is a self-run project — clone it and run it on your own machine. Some features may optionally call external APIs; check the README.
Yes, that is the point. The code is public, so you can run, modify, and host it yourself.
It is released under AGPL-3.0. Read the LICENSE file in the repo for the exact terms.
Yes, but note the copyleft: it is AGPL-3.0 licensed, so distributed derivatives must stay open.
Faster-Whisper-XXL-GUI — gui for faster‑whisper‑xxl transcription tool: download, open-...
🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time
リアルタイムボイスチェンジャー Realtime Voice Changer
Free, cross-platform subtitle editor with AI transcription tools.
Fully local transcription with diarization, for every desktop OS.
Local-first voice AI runtime: transcription, diarization, TTS, cloning.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если OpenTranscribe 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 OpenTranscribe — продолжайте изучать полку по обе стороны от него.
Claude Code WhatsApp channel add-on — run AI directly from WhatsApp.
Meeting recorder designed for your Mac with a live AI copilot.
Local-first AI meeting minutes workbench: FunASR speech-to-text + Ollama LLM.
Free, open source, 100% offline AI dictation for Windows & macOS.
Jellyfin add-on for local AI-driven subtitle generation using Whisper.
Free, open source, 100% offline AI text-to-speech for macOS, Windows & Linux.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.