πŸ”’ Your files stay on your device β€” core audio processing runs locally. Privacy details β†’
Free Β· Local timeline Β· Chapter text exports

Podcast Chapter Maker

Listen, scrub and mark topic changes on your podcast timeline. Edit chapter titles and times, then copy YouTube timestamps or export FFmetadata and CUE chapter files β€” without uploading, cutting or re-encoding the episode.

Before-and-after illustration of Podcast Chapter Maker: Podcast episode becomes Chapter metadata through Place named chapters.
Before → process → afterSee the signal story, then hear it in the workspace.

TIMELINE MAP

Chapter Marker Rail

Turn one long waveform into deliberate boundaries. The visual emphasizes the selection, transition and resulting edit so that timing decisions remain obvious before anything is rendered.

Before-and-after illustration of Podcast Chapter Maker: Podcast episode becomes Chapter metadata through Place named chapters.
Podcast episodePlace named chaptersChapter metadata
A timeline edit: marked regions, handles and transitions resolve into clean finite segments without hiding where each boundary came from.
Open the full signal breakdownBest source, processing logic, limits and three-pass listening check
  1. Start with the right material

    Podcasts, interviews, DJ mixes, lectures and long recordings that need named navigation points without splitting or re-encoding the audio.

  2. Understand the transformation

    The browser decodes the source for local timing and preview, then stores ordered marker times and titles; it does not cut or alter the uploaded audio.

  3. Verify the usable result

    Copy-ready YouTube timestamps plus downloadable TXT, FFmetadata and CUE chapter documents tied to the current source duration.

Marker order

Where this workflow stops

Chapter support varies by player and publishing platform. Markers must be reviewed against the final delivered audio because any later edit changes their timing.

THREE-PASS CHECK

Make the final decision by ear

  • Zoom into every boundary and listen across it, not only inside it.
  • Leave intentional handles when another editor will continue the work.
  • Verify exact duration and ordering after the final render.
Input
One podcast or long-form audio file that the current browser can decode, or a generated local demo.
Editing
Playback, waveform scrubbing, exact times, chapter titles, deletion and keyboard-friendly reorder controls.
Output
YouTube timestamps TXT and clipboard text, FFmetadata and CUE β€” no audio output.

How to create podcast chapter timestamps

  1. Choose a podcast audio file or open the generated demo; the browser decodes it locally.
  2. Scrub or play to a topic change, enter a chapter title and add a marker at that time.
  3. Correct marker times and titles, remove unwanted chapters or move chapter titles between timeline positions.
  4. Copy YouTube timestamps or download TXT, FFmetadata or CUE chapter text.

Podcast chapters are navigation, not audio splitting

A chapter marker stores a time and a title. It lets listeners jump to a section when a podcast app, video description or media workflow supports that metadata. The marker does not contain audio and does not create a separate clip.

Podcast Chapter Maker decodes the selected file only to display duration, playback and a waveform overview. Moving, adding or deleting a chapter changes the text model in this page. The source recording remains untouched, and all exports are small text files.

YouTube timestamps, FFmetadata and CUE

YouTube TXT
Plain lines such as 0:00 Introduction. YouTube expects at least three ascending chapters, the first at 0:00 and chapter spans of at least 10 seconds.
FFmetadata
Uses TIMEBASE=1/1000 with millisecond START and END values. It is designed for FFmpeg-compatible metadata workflows.
CUE
Uses TRACK and INDEX records with 1/75-second frame resolution. It is useful where chapter or track navigation accepts cue sheets.

Tips for useful podcast chapter titles

Limits and privacy

Privacy: the selected audio stays on this device. Normal page assets are loaded from AudioWrench, but the recording is not sent to a server.

Podcast Chapter Maker: quick answer and technical limits

Quick answer: A chapter-marker editor for one unchanged episode, with timestamp validation and exports for video descriptions, media metadata and cue sheets.

Best for
Podcasts, interviews, DJ mixes, lectures and long recordings that need named navigation points without splitting or re-encoding the audio.
How it works
The browser decodes the source for local timing and preview, then stores ordered marker times and titles; it does not cut or alter the uploaded audio.
What you get
Copy-ready YouTube timestamps plus downloadable TXT, FFmetadata and CUE chapter documents tied to the current source duration.

Know before you use it: Chapter support varies by player and publishing platform. Markers must be reviewed against the final delivered audio because any later edit changes their timing.

Privacy: Selected audio is processed in this browser and is not uploaded to AudioWrench. Normal page assets can still be requested as described in the privacy notice. Privacy details β†’

FAQ

What is a podcast chapter marker?
A chapter marker pairs a time in an episode with a short title such as Introduction, Interview or Listener questions. Podcast apps and publishing systems can use those markers to help listeners navigate long audio.
What are the YouTube chapter timestamp rules?
For automatic YouTube chapters, the first timestamp must be 0:00, the description needs at least three timestamps in ascending order and each chapter should last at least 10 seconds. This tool checks those rules before copying or downloading YouTube timestamps.
What is the difference between FFmetadata and CUE chapter files?
FFmetadata stores chapter starts and ends with a 1/1000-second timebase for FFmpeg workflows. CUE uses CD-style minutes, seconds and 1/75-second frames. App support varies, so choose the format expected by the next tool in your workflow.
Does this tool split, edit or upload my podcast audio?
No. It decodes the selected file locally only for playback, duration and waveform display. Exported files contain chapter text, not audio; the original recording is not cut, rendered, re-encoded or uploaded to AudioWrench.

Related podcast tools