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Audio transcription subagent with timestamps v1.0.0

Use this resource to transcribe an audio or video recording with timestamps

New

  • 177 downloads
  • 58 likes
  • 38 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install podcast-transcription-subagent

First time: connect the CLI with

npx --yes palatekit@latest login

The main agent hands it a media file to transcribe. The subagent analyzes the file with ffprobe, extracts the audio as 16 kHz mono WAV, normalizes the volume, splits long files and produces timestamped segments, with speaker changes when they can be identified.

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Updated November 2, 2026

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Details

Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • The subagent file (in English): audio processing steps and output format
  • The ffmpeg and ffprobe commands to extract, convert and normalize

Good fit for

  • Transcribing a podcast episode with timestamped subtitles
  • Transcribing a recorded interview to pull a quote from it

Not for

    Tags

    • transcription
    • ffmpeg
    • timestamps
    • podcast

    About

    You say

    “Transcribe this 50-minute episode with timestamps per speaker.”

    Card for “Audio transcription subagent with timestamps”

    Subagent published by davila7 under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Copy the file into .claude/agents/ (project) or ~/.claude/agents/ (all your projects)
    2. Ask your agent to transcribe an audio or video recording with timestamps, or call the subagent by name
    3. Review its work

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • podcast-transcription-subagent.md3.3 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/blob/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/agents/ffmpeg-clip-team/podcast-transcriber.md
    Licence
    MIT

    Notice

    « podcast-transcriber » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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