Stop marking timestamps manually
Upload your podcast and get structured chapter markers automatically.
AI podcast chapter tool
Automatically detect topic shifts, key moments, highlights, and YouTube-ready timestamps from your podcast audio.
Works with MP3, WAV, M4A, and AAC podcast uploads.
Find topic shifts and important moments without scrubbing through the whole timeline.
Upload your podcast and get structured chapter markers automatically.
Help listeners jump directly to the parts of the episode they care about.
Use generated timestamps in YouTube descriptions, show notes, and episode pages.
See how chapter generation works inside the actual workflow
Review timestamped chapters, jump to important moments, copy markers, and reuse highlights across YouTube, show notes, and social content.
Public chapter example
The episode opens by showing how manual review slows down every long-form podcast release.
A major section explains how chapter markers make long conversations easier to scan and navigate.
The speaker gives a concise takeaway that can become a clip, social hook, or newsletter callout.
Timestamp-aware highlights
Podalyze analyzes your transcript and audio timeline to generate chapter markers, highlights, quote-worthy moments, and navigation-ready timestamps.
Help listeners understand what is inside a long episode before they press play.
Get timestamped structure without manually scrubbing through audio.
Turn highlights, quotes, and chapter sections into clips, posts, and newsletters.
Upload MP3, WAV, M4A, or AAC podcast audio.
Podalyze identifies major sections, key moments, and quote-worthy parts.
Use chapters and highlights in YouTube, show notes, websites, or internal review.
Generate timestamp markers for YouTube descriptions and video chapters.
Help listeners find guest stories, advice, and topic shifts faster.
Turn long episodes into structured sections without manual timeline review.
Use highlights and timestamps to repurpose episodes into posts, clips, and newsletters.
Structure multi-hour podcast episodes into searchable chapter sections.
Yes. Podalyze creates timestamped chapter markers you can reuse in YouTube descriptions and episode pages.
Yes. The chapter workflow also includes highlights, key moments, and quote-worthy sections from the episode.
Yes. Timestamps are displayed beside generated chapters and moments so you can copy or jump to them.
Yes. Podalyze analyzes the transcript and timing context to identify major sections across the full podcast episode.
Yes. Generated chapters can be reused in show notes, YouTube descriptions, blog posts, and public episode pages.
Yes. Podalyze supports long-form podcast uploads up to 4 hours per episode.
Yes. You can review, rename, reorder, or remove generated chapters before publishing.
Create chapters, highlights, timestamps, and key moments from your next episode in minutes.
No credit card required.