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+# FunASR + Dify Integration Guide
+
+Use FunASR as a local speech-to-text backend for [Dify](https://github.com/langgenius/dify) via the OpenAI-compatible API.
+
+## Why FunASR with Dify?
+
+- **Privacy**: All audio stays local, no cloud API calls
+- **Speed**: 170x realtime (vs ~1x for cloud APIs)
+- **Free**: No per-minute charges, no API keys needed
+- **Features**: Speaker diarization, emotion detection, 50+ languages
+
+## Setup
+
+### 1. Start FunASR Server
+
+```bash
+pip install torch torchaudio
+pip install funasr vllm fastapi uvicorn python-multipart
+funasr-server --device cuda --port 8000
+```
+
+### 2. Configure in Dify
+
+In Dify Settings -> Model Provider:
+
+1. Select **OpenAI-API-Compatible** provider
+2. Set:
+   - **API Base URL**: `http://your-server:8000/v1`
+   - **API Key**: `unused` (any value works)
+   - **Model Name**: `fun-asr-nano`
+
+### 3. Enable Speech-to-Text
+
+In your Dify app settings:
+1. Go to Features -> Speech to Text
+2. Enable it
+3. Select the OpenAI-compatible provider you configured
+
+## Supported Models
+
+| Model Name | Best For | Speed |
+|-----------|----------|-------|
+| `fun-asr-nano` | 31 languages + Chinese dialects | 340x realtime (vLLM) |
+| `sensevoice` | Ultra-fast, 5 languages | 170x realtime |
+| `paraformer` | Chinese (classic, stable) | 120x realtime |
+
+## Links
+
+- [FunASR GitHub](https://github.com/modelscope/FunASR)
+- [Dify GitHub](https://github.com/langgenius/dify)
+- [FunASR Website](https://www.funasr.com)