Audio
Whisper
Robust Speech Recognition via Large-Scale Weak Supervision
★ 109,9 Tsd. SterneMIT
Anleitung ansehen →whisper.cpp ist ein Open-Source-Projekt aus der Kategorie Audio von ggml-org (ggml-org/whisper.cpp auf GitHub). Es hat 54.108 Sterne auf GitHub und 6.205 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 2. Oktober 2026 auf GitHub aktualisiert.
Port of OpenAI's Whisper model in C/C++
Speech-to-text, text-to-speech, voice cloning, or music/SFX generation — each project here has a lane.
Python packages, Docker images, and C++ builds cover servers, desktops, and edge devices.
Download the weights or pick a voice; many tools bundle a strong default so you can start immediately.
Transcribe files, synthesize scripts, or generate music — then export standard audio formats.
Open speech recognition now rivals paid APIs on accuracy across languages.
Modern TTS is strikingly human — good enough for narration and voiceovers.
Clone a voice from a short sample for consistent characters and branding.
Compose backing tracks and sound effects from text descriptions.
Entire pipelines work without internet — ideal for private or field use.
Drop-in endpoints that mimic commercial APIs, so existing apps switch easily.
Clone the repository or download the latest release for your OS.
git clone https://github.com/ggml-org/whisper.cpp.gitEvery project documents its own setup — the README's install section is the source of truth.
Start the app or server as documented and open the interface it provides.
Synthesis has its own experiment on this shelf: Irodori-TTS lets emojis steer the speaking style of its expressive TTS voice. Also on this shelf: koma — self-hosted AI video analysis: summaries, chapters, transcripts. For a different angle on this shelf, Open-Cluely opens source no-cost alternative to Cluely & Parakeet AI.
Excellent — the leading open models match commercial services on clean audio, in many languages.
The tech clones from short samples; only ever clone voices you own or have explicit permission to use.
It is an open-source project at ggml-org/whisper.cpp with 6,205 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Transcription and TTS run on CPU acceptably; GPUs speed up batch jobs and music generation a lot.
Coverage varies — transcription is broadest, TTS quality is best in major languages.
Usually yes, but check both the code license and the model license.
Robust Speech Recognition via Large-Scale Weak Supervision
Faster Whisper transcription with CTranslate2
Fast and local neural text-to-speech engine
WhisperLive: a nearly-live OpenAI Whisper transcription server for files, mics, and streams
Fast local speech-to-text across 16+ model families, powered by ggml.
Turn the beloved Kokoro voice model into an OpenAI-compatible speech API with one Docker command.
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls whisper.cpp 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
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creatio…
Verwandte Projekte der Kategorie Audio im Katalog, die whisper.cpp bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
VoiceStudio is the open-source, fully-local ElevenLabs alternative — voice cloning, voice design, video dubbing, dictation, transcription & audiobook creatio…
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Deep learning toolkit for text-to-speech, battle-tested in research and production
Robust Speech Recognition via Large-Scale Weak Supervision
A generative speech model built for daily dialogue — natural, conversational text-to-speech
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.