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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.

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How to use it?

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Basic Command Structure

/transcription [audio-file] [options]

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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)

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Response Format

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

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Examples

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Basic Usage

/transcription
audio-file: meeting-recording.mp3
Transcribes an audio file into text with default JSON formatting.

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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.

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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.

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Notes

Supported Audio Formats:
  • MP3 (.mp3)
  • WAV (.wav)
  • M4A (.m4a)
  • FLAC (.flac)
  • OGG (.ogg)
Language Support:
  • Automatic language detection
  • Over 50 languages supported