DriftNote identifies natural topic breaks in your episode and generates descriptive, timestamped chapters — formatted for Apple Podcasts, Spotify, and RSS.
Adding chapter markers manually means re-listening to your episode and noting every topic change. Most creators skip chapters entirely — costing them listener engagement and platform discoverability.
DriftNote listens to your episode and identifies natural topic breaks. You get timestamped chapters with descriptive titles — copy them straight into your hosting platform or RSS feed.
AI identifies natural conversation breaks — topic changes, new questions, segment transitions — without rigid time intervals.
Each chapter gets a title that tells listeners what they'll hear. Not just 'Topic 3' — real descriptions like 'Why cold outreach still works in 2026.'
Output formatted for Apple Podcasts, Spotify, Overcast, Pocket Casts, and standard RSS chapter tags.
Adjust timestamps by a few seconds or tweak a title — the AI gets you 90% there, you refine the last 10%.
[00:00] Introduction & what's new this week [03:12] Guest intro: Dr. Maria Lopez, sleep researcher [07:45] Why most sleep advice is wrong [15:30] The 90-minute sleep cycle myth [23:18] Caffeine timing — what the research actually says [31:42] Light exposure and circadian rhythm [40:05] Practical sleep protocol for shift workers [48:30] Lightning round: listener questions [55:12] Where to find Dr. Lopez's research
Upload your raw audio and see what DriftNote generates — free for 7 days.
Start free trialDriftNote analyzes your raw episode audio and generates structured, production-ready show notes that match your podcast's voice and formatting style.
DriftNote identifies the most quotable moments from your podcast and extracts them with timestamps and speaker attribution. Perfect for social media, newsletters, and audiograms.