FunASR shipped an update

FunASR, an industrial-grade speech recognition toolkit, released an update in August 2026, achieving up to 340x realtime speed and 26x faster than Whisper, supporting 50+ languages, speaker diarization, emotion detection, streaming, and an OpenAI-compatible API. The open-source project, with 20k GitHub stars, is MIT-licensed but requires separate model licenses.

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 20k stars on GitHub. It was last updated in August 2026. pip install torch torchaudio FunASR vs. the alternatives All 27 alternatives → /alternatives/funasr