About Glm Asr
Glm Asr is an MCP server published by neosun100 in the Developer Tools category: all-in-One Speech Recognition Service based on GLM-ASR-Nano | Web UI • REST API • MCP Server • Long Audio Support.
The repository has 7 stars and 3 forks, with the last commit 9 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
Install
git clone https://github.com/neosun100/glm-asrThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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Releases
README
GLM-ASR
All-in-One Speech Recognition Service based on GLM-ASR-Nano
Web UI • REST API • SSE Streaming • Swagger Docs
🖥️ Screenshot
✨ Features
- 🎯 High Accuracy - Based on GLM-ASR-Nano-2512 (1.5B), outperforms Whisper V3
- 🌍 17 Languages - Chinese, English, Cantonese, Japanese, Korean, and more
- 🎤 Long Audio - VAD smart segmentation for unlimited audio length
- 🚀 SSE Streaming - Real-time progress and results for long audio
- 🖥️ Web UI - Modern dark-mode interface with 4 language support
- 🔌 REST API - Full API with Swagger documentation
- 💾 GPU Management - Manual load/unload for memory control
- 🐳 Docker Ready - One-command deployment with pre-loaded model
🚀 Quick Start
Docker (Recommended)
docker run -d --gpus all -p 7860:7860 neosun/glm-asr:v2.0.1
Access:
- Web UI: http://localhost:7860
- Swagger Docs: http://localhost:7860/docs
- ReDoc: http://localhost:7860/redoc
Docker Compose
git clone https://github.com/neosun100/glm-asr.git
cd glm-asr
docker compose up -d
📖 API Reference
Base URL
http://localhost:7860
Endpoints
Health Check
GET /health
{"status": "ok", "model_loaded": true}
Transcribe (Sync) - For short audio
POST /api/transcribe
Content-Type: multipart/form-data
| Parameter | Type | Default | Description |
|---|---|---|---|
| file | File | required | Audio file (wav/mp3/flac/m4a/ogg/webm) |
| max_new_tokens | int | 512 | Max output tokens (1-2048) |
curl -X POST http://localhost:7860/api/transcribe \
-F "file=@audio.mp3" \
-F "max_new_tokens=512"
{"status": "success", "text": "Transcribed text here..."}
Transcribe (SSE Stream) - For long audio
POST /api/transcribe/stream
Content-Type: multipart/form-data
Returns Server-Sent Events with real-time progress:
| Event Type | Description | Example |
|---|---|---|
start |
Processing started | {"type": "start"} |
progress |
Segment progress | {"type": "progress", "current": 3, "total": 10, "duration": 22.5} |
partial |
Segment result | {"type": "partial", "text": "Segment text..."} |
done |
Complete | {"type": "done", "text": "Full transcription..."} |
error |
Error occurred | {"type": "error", "message": "Error details"} |
curl -X POST http://localhost:7860/api/transcribe/stream \
-F "file=@long_audio.mp3"
GPU Status
GET /gpu/status
{
"model_loaded": true,
"device": "cuda",
"gpu_memory_used_mb": 4320.5,
"gpu_memory_total_mb": 24576.0
}
Load/Unload Model
POST /gpu/load
POST /gpu/unload
Interactive Documentation
- Swagger UI: http://localhost:7860/docs
- ReDoc: http://localhost:7860/redoc
⚙️ Configuration
Environment Variables
| Variable | Default | Description |
|---|---|---|
MODEL_CHECKPOINT |
zai-org/GLM-ASR-Nano-2512 |
HuggingFace model path |
PORT |
7860 |
Service port |
HF_HOME |
/app/cache |
Model cache directory |
docker-compose.yml
services:
glm-asr:
image: neosun/glm-asr:v2.0.1
container_name: glm-asr
ports:
- "7860:7860"
volumes:
- ./cache:/app/cache
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: 1
capabilities: [gpu]
🏗️ Tech Stack
| Component | Technology |
|---|---|
| Model | GLM-ASR-Nano-2512 (1.5B) |
| Backend | FastAPI + Uvicorn |
| Streaming | Server-Sent Events (SSE) |
| Frontend | HTML5 + Vanilla JS |
| Container | Docker + NVIDIA CUDA |
| API Docs | Swagger / ReDoc |
📊 Benchmark
GLM-ASR-Nano achieves the lowest average error rate (4.10) among comparable models:
📝 Changelog
v2.0.1 (2025-12-28)
- ✅ Migrated to FastAPI async framework
- ✅ SSE streaming for real-time progress
- ✅ Complete Swagger API documentation
- ✅ Dual API mode: sync + streaming
- ✅ Fixed browser timeout for long audio
- ✅ Modern dark UI with progress display
v1.1.0 (2025-12-15)
- ✅ VAD smart segmentation (silero-vad)
- ✅ Support unlimited audio length
v1.0.0 (2025-12-14)
- ✅ Initial release
- ✅ Web UI with 4 language support
- ✅ REST API with Swagger docs
- ✅ Docker all-in-one image
📄 License
⭐ Star History
README fetched from the repository 3 hours ago. The original is authoritative.