Audio
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8 Tsd. SterneMIT
Anleitung ansehen →whats-reader ist ein Open-Source-Projekt aus der Kategorie Audio von rodrigogs (rodrigogs/whats-reader auf GitHub). Es hat 272 Sterne auf GitHub und 29 Forks, wird unter der Lizenz AGPL-3.0 veröffentlicht und wurde zuletzt am 28. September 2026 auf GitHub aktualisiert.
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.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls whats-reader nicht das Richtige ist.
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++
Verwandte Projekte der Kategorie Audio im Katalog, die whats-reader bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.