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FunASR
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FunASR

Active·★ 19.3k·MIT·Updated 2026-07-19
★ Most Popular★ Voice / Speech★ LLM Infra

FunASR is a fundamental end-to-end speech recognition toolkit. It offers industrial-grade speech recognition, being 170x faster than Whisper, supporting over 50 languages, and integrating features like speaker diarization, emotion detection, and streaming.

FunASR is currently grouped under Voice / Speech, which makes it easier to evaluate through workflow fit instead of isolated features alone. Based on the available data, it leans most heavily toward Extremely fast (170x faster than Whisper) and Meeting transcription with speaker labels, timestamps, and punctuation. The listed license is MIT, which is useful when adoption constraints matter. It also shows measurable community traction with 19.3k GitHub stars.

#asr#audio#chinese#emotion-recognition#mcp-server#mcp-servers#multilingual-asr#openai-compatible-api
$ Install
$ pip install funasr
↗ Visit site★ GitHub
01

Features

01Extremely fast (170x faster than Whisper)
02Supports 50+ languages
03Built-in Speaker Diarization
04Emotion Detection
05Streaming ASR and vLLM Acceleration
02

Why choose it

+Extremely fast (170x faster than Whisper)
+Meeting transcription with speaker labels, timestamps, and punctuation
+Covers 4 supported environments or platforms, which is helpful for broader deployment needs.
+Ships with a public repository and a MIT license, which makes adoption and review easier.
03

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.
04

Compatibility

PyTorch
PyTorch
Verified via docs
GPU
GPU (CUDA)
Verified via docs
CPU
CPU
Verified via docs
Docker
Docker
Verified via docs
05

Quick start

1
$ pip install funasr
06

Use cases

↳Meeting transcription with speaker labels, timestamps, and punctuation
↳Deployment as an OpenAI-compatible API server
↳Integration with AI agents (e.g., Claude, LangChain, Dify, AutoGen)
07

How it compares

≈FunASR sits in the Voice / Speech category, so it makes more sense to evaluate it alongside tools like OpenClaw instead of in isolation.
≈If your main need is closer to "Meeting transcription with speaker labels, timestamps, and punctuation", that use case is a better lens for comparison than broad feature checklists alone.
≈FunASR uses a MIT license, and community traction are both easier to judge in category context.
08

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Related searches

FunASR AlternativesBest Voice / Speech Tools 2026Open Source Voice / SpeechFunASR TutorialFunASR Vs Competitorsasraudiochinese

Comments

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  • ?
    usr_seed_0574May 3, 2026

    Language coverage beyond English is a meaningful differentiator.

  • ?
    usr_seed_0101Apr 3, 2026

    Active development from Alibaba's speech research team, keeps improving.

  • ?
    usr_seed_0992Mar 26, 2026

    170x realtime speech recognition across 50+ languages is genuinely industrial-grade.

  • ?
    usr_seed_0361Mar 24, 2026

    Good for teams building speech-enabled AI applications that need production ASR.

On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07How it compares08Alternatives
Stats
GitHub Stars★ 19.3k
Last commit1d ago
StatusActive
LicenseMIT
CategoryVoice / Speech
Trend (30d)
+0.7k↑ 4.1%
Links
Documentation↗Discussion↗Issues↗Releases↗

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