FunASR
Industrial-grade speech recognition toolkit: 170x realtime, 50+ languages, speaker diarization, emotion detection, streaming, and OpenAI-compatible API.
Self-hosted speech recognition with VAD, punctuation, and speaker pipelines.
You need one blanket licence — the toolkit is MIT but model licences vary.
About FunASR
Industrial speech recognition. Up to 340x realtime, 26x faster than Whisper. 50+ languages. Speaker diarization · Emotion detection · Streaming · One API call
Quick Start · Colab · Benchmark · Model selection · Migration guide · Use cases · Deployment matrix · Models · Agent Integration · Docs · Contribute
No local setup? Open the Colab quickstart to transcribe a public sample or upload your own audio in a browser.
FunASR is an open-source project written primarily in Python, with 21k stars on GitHub. It was last updated in September 2026.
pip install torch torchaudioFunASR vs. the alternatives
All 163 alternatives →| Record | Stars | Pricing | ||
|---|---|---|---|---|
| FunASRthis listing | 21k | Python | MIT | Open source |
| MCP Reference Servers | 91k | TypeScript | MIT AND Apache-2.0 | Open source |
| context7 | 62k | TypeScript | MIT | Open source |
| chrome-devtools-mcp | 53k | TypeScript | Apache-2.0 | Open source |
| Playwright MCP | 38k | TypeScript | Apache-2.0 | Open source |
| github-mcp-server | 33k | Go | MIT | Open source |
