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🎤 Showcase / Production Story Share how you use FunASR in a demo, product, benchmark, research project, or internal workflow showcase, needs triage

Thanks for sharing your FunASR use case. Concrete usage reports help new users choose the right path and help maintainers prioritize docs, examples, models, and deployment work.

If this is a support question, please use Bug Report or Deployment Help instead.

Summary

Scenario

  • Local transcription demo
  • Private OpenAI-compatible speech API
  • Agent / MCP / voice-input workflow
  • Streaming ASR / live captions
  • Subtitle generation
  • Batch transcription / archive processing
  • Benchmark or migration from Whisper/cloud ASR
  • Research / education
  • Production deployment
  • Other:

Deployment details

  • FunASR version:
  • Model(s):
  • Device (cuda, cpu, mps):
  • GPU / CPU:
  • Runtime path (Python API, funasr-server, WebSocket, Docker, vLLM, MCP, other):
  • Audio language/domain:
  • Approximate audio duration or traffic:

Results


What was easy?

What should be improved?