What can you do with it?

The /transcription command enables you to convert audio files into text using AI-powered speech recognition. You can transcribe recordings, meetings, interviews, podcasts, and any audio content into readable text in various formats for further processing or documentation.

How to use it?

Basic Command Structure

/transcription [audio-file] [options]

Parameters

Required:

  • audio-file - The audio file to transcribe (URL or uploaded file)

Optional:

  • format - Output format: json, plaintext, markdown, or html (defaults to json)
  • language - Specify the audio language for better accuracy (auto-detected if not specified)
  • timestamps - Include timestamps in the transcript (true/false)

Response Format

The command returns:

{
  "output": "The transcribed text content",
  "duration": "audio duration in seconds",
  "language": "detected or specified language",
  "format": "output format used"
}

Examples

Basic Usage

/transcription
audio-file: meeting-recording.mp3

Transcribes an audio file into text with default JSON formatting.

Advanced Usage

/transcription
audio-file: interview.wav
format: markdown
language: English
timestamps: true

Transcribes an interview with timestamps included, formatted as markdown with specified language for accuracy.

Specific Use Case

/transcription
audio-file: podcast-episode.mp3
format: plaintext
language: Spanish

Transcribes a Spanish podcast episode into plain text format for easy reading and sharing.

Notes

Supported Audio Formats:

  • MP3 (.mp3)
  • WAV (.wav)
  • M4A (.m4a)
  • FLAC (.flac)
  • OGG (.ogg)

Language Support:

  • Automatic language detection
  • Over 50 languages supported