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The Transcriber tool converts spoken audio into accurate text transcriptions using OpenAI’s Whisper model. Upload a recording, podcast, meeting, or video file and receive a written transcript within seconds.

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Transcribing audio

1

Open Transcriber in your dashboard

Click Transcriber in the sidebar of your Monorail AI dashboard.
2

Upload your file

Select and upload your audio or video file from your device.
3

Select the source language

Choose the spoken language if prompted, or leave it on auto-detect to let the AI identify it automatically.
4

Click Transcribe

Submit your file and wait for the transcript to generate.
5

Review and copy your transcript

Read through the output and copy it for use in your project, document, or workflow.

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Supported use cases

  • Meeting and interview transcriptions
  • Podcast or video content repurposing
  • Lecture or presentation notes
  • Accessibility captions for audio content
  • Transcribing voice memos

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Tips for accurate transcriptions

  • Use clear audio with minimal background noise for the best results.
  • Use the Voice Isolator tool to clean up noisy recordings before transcribing — see Voice Isolator for details.
  • Supported formats typically include MP3, MP4, WAV, and M4A.

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Credit usage

Whisper charges by audio duration. 1 credit equals approximately 70 seconds of audio, so a 10-minute recording costs approximately 8.57 credits. See the Credits page for a full rate breakdown.