Аудио
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8 тыс. звёздMIT
Смотреть руководство →whats-reader — проект с открытым исходным кодом из категории «Аудио» от rodrigogs (rodrigogs/whats-reader на GitHub). У него 272 звезды на GitHub и 29 форков, он распространяется по лицензии AGPL-3.0 и последний раз обновлялся на GitHub 28 сентября 2026.
Browse WhatsApp chat exports offline, with AI voice transcription.
Use WhatsApp's built-in export to get a chat file.
Load the export into whats-reader.
AI converts voice messages to text locally.
Find anything fast with search and stats.
Browses WhatsApp exports with no internet needed.
AI-powered transcription of voice messages.
Your chats never leave your device.
Save key messages and find anything instantly.
See who talks most and when.
Web app plus desktop builds.
Download the source and move into the project folder.
git clone https://github.com/rodrigogs/whats-reader.git
cd whats-readerEvery 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 rodrigogs/whats-reader with 29 forks. Check the repo's contributors and recent commits to see how active maintenance is.
AGPL-3.0 licensed — you can use it, but network-facing derivatives must share source.
No — it is privacy-first and works offline.
Export a chat from WhatsApp, then load the export file in the app.
Yes — AI-powered voice transcription is a headline feature.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Faster Whisper transcription with CTranslate2
Port of OpenAI's Whisper model in C/C++
Self-hosted backend that gives ESP32 'Xiaozhi' devices streaming voice chat, memory and tool control.
Open source, offline voice-to-text for macOS.
100% private voice transcription for Android and iOS, on-device.
Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если whats-reader 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 whats-reader — продолжайте изучать полку по обе стороны от него.
Live captions and AI meeting review from any system audio — local-first.
Free and open source offline voice dictation for Windows, Linux, and macOS.
Capable AI keyboard for reliable speech transcription.
Self-hosted AI video analysis: summaries, chapters, transcripts.
Voice-to-text for the Linux terminal, from a hotkey.
Voice cloning inside Kokoro: natural multilingual speech, your voice.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.