> ## Documentation Index
> Fetch the complete documentation index at: https://docs.munsit.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Transcriber

> Upload Arabic audio files and receive high-accuracy transcription output

Munsit provides accurate transcription of Arabic speech through a simple file-upload workflow.\
The Transcriber endpoint accepts audio files as `multipart/form-data` and is optimized for asynchronous processing of pre-recorded content.\
After you upload a supported audio file, Munsit returns a high-quality Arabic transcript with useful metadata such as total duration and word-level timestamps.\
This makes it easy to process interviews, meetings, media clips, and customer calls with reliable Arabic speech recognition.

## How it works

1. **Upload audio**: Send a supported audio file to the Transcriber endpoint.
2. **Processing**: Munsit analyzes the recording and converts Arabic speech into text.
3. **Get results**: Receive a transcript with duration and word-level timestamps.

## Sample response

```json theme={null}
{
  "statusCode": 201,
  "data": {
    "transcriptionId": 1,
    "transcription": "لك كلما عمقت الآخرين أصبحت قزما...",
    "duration": 53.661375,
    "timestamps": [
      { "word": "الأشياء", "start": 0.24, "end": 0.31 }
    ]
  },
  "message": "Success"
}
```

## Related APIs

* [Speech-to-Text Transcriber API](/api-reference/transcriber)
* [Streaming API](/api-reference/stt-streaming)
* [Sentiment Analysis API](/api-reference/stt-sentiment-analysis)