---
name: 🎤 Showcase / Production Story
about: Share how you use FunASR in a demo, product, benchmark, research project, or internal workflow
labels: '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

<!-- What did you build or evaluate with FunASR? One or two sentences is enough. -->

## 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

<!-- Share speed, accuracy/CER/WER, latency, cost, CPU/GPU usage, or qualitative results if available. -->

```text

```

## Links or screenshots

<!-- Public demo, article, repo, benchmark report, screenshot, or architecture diagram. Do not include private audio, credentials, or customer data. -->

## What was easy?

<!-- Which docs, examples, or APIs helped most? -->

## What should be improved?

<!-- Missing docs, rough edges, model gaps, deployment friction, benchmark needs, etc. -->