Audio
audacity
Audio Editor
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View guide →A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
RealtimeSTT is an open-source audio project by KoljaB (KoljaB/RealtimeSTT on GitHub). It has 10,158 GitHub stars and 861 forks, is released under the MIT license, and was last updated on GitHub on 17 September 2026.
Transcription, synthesis, voice changing, or editing — each tool here majors in one.
Binaries, pip packages, or Docker; models download on first run for AI tools.
Drop in a recording or type what you want spoken.
WAV/MP3/OGG outputs drop straight into editors or apps.
Built on Python, so it plugs into the wider data and ML tooling ecosystem.
Live updates and low-latency processing where it matters.
Whisper-grade transcription and natural neural voices, free.
Many run fully on-device — nothing you say leaves the machine.
Open licenses let you ship voice features without per-minute API bills.
CLI and Python APIs slot into larger pipelines.
Download the source and move into the project folder.
git clone https://github.com/KoljaB/RealtimeSTT.git
cd RealtimeSTTEvery 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 KoljaB/RealtimeSTT with 861 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — use it commercially, no strings attached.
Check each license — many allow it, but voice-cloning has ethical and legal boundaries.
Whisper-class models rival paid services on clear audio; noisy recordings need cleanup first.
Dozens; English is strongest, major world languages are solid.
Audio Editor
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Chatterbox — Resemble AI's open-source TTS family: expressive text-to-speech and voice cloning, multilingual V3, low-latency Turbo and tiny Nano models, MIT
Instant, ultra-realistic text-to-speech from a simple local app.
Speech-to-text-to-speech for VRChat, VTubers, and streamers.
The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if RealtimeSTT is not the right fit.
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++
Free and open — grab the source, star the repo, and start creating.