arshadul/indic_conformer

IndicConformer Speech-to-Text API 🎙️

Fast and accurate Speech-to-Text API for 22 Indian languages powered by AI4Bharat's IndicConformer model.

🌟 Features

• —22 Indian Languages Supported: Hindi, Telugu, Bengali, Tamil, and 18 more
• —Long Audio Support: Process up to 30 minutes of audio
• —Parallel Processing: Fast transcription with chunked inference
• —Multiple Formats: Supports WAV, MP3, FLAC, M4A

🚀 Quick Start

API Endpoints

• —Base URL: Your Space URL
• —Documentation: /docs (Interactive Swagger UI)
• —Transcribe: POST /transcribe
• —Health Check: GET /health

Example Usage

Using cURL

curl -X POST "https://your-space-url.hf.space/transcribe" \
  -F "file=@audio.wav" \
  -F "language=hi"

Using Python

import requests

url = "https://your-space-url.hf.space/transcribe"

files = {"file": open("audio.wav", "rb")}
data = {"language": "hi"}

response = requests.post(url, files=files, data=data)
print(response.json())

Using JavaScript

const formData = new FormData();
formData.append('file', audioFile);
formData.append('language', 'hi');

const response = await fetch('https://your-space-url.hf.space/transcribe', {
  method: 'POST',
  body: formData
});

const result = await response.json();
console.log(result.transcription);

🗣️ Supported Languages

📊 Response Format

{
  "success": true,
  "transcription": "आपका टेक्स्ट यहां",
  "metadata": {
    "audio_duration": 45.2,
    "audio_duration_minutes": 0.75,
    "inference_time": 2.1543,
    "rtf": 0.0476,
    "language": "hi",
    "decoder": "rnnt",
    "num_chunks": 2
  }
}

⚡ Performance

• —Real-Time Factor (RTF): ~0.05 (20x faster than real-time on GPU)
• —Max Audio Length: 30 minutes
• —Chunk Processing: 30s chunks with 2s overlap for optimal accuracy

🛠️ Model Information

• —Model: ai4bharat/indic-conformer-600m-multilingual
• —Decoder: RNNT (Recurrent Neural Network Transducer)
• —Architecture: Conformer (600M parameters)

📝 Notes

• —Audio files are automatically resampled to 16kHz mono
• —Longer audio files are split into chunks for parallel processing
• —GPU acceleration is automatically used when available
• —Maximum audio duration is 30 minutes per request

🤝 Credits

Built with:

• —AI4Bharat IndicConformer
• —Hugging Face Transformers
• —FastAPI

📄 License

MIT License