Timestamply generates chapters for YouTube videos from their captions. Paste a video link, and it splits the video into sections, writes a title for each one and adds timestamps, ready to paste into the video description.
It’s built for teams and creators who publish long videos regularly: podcasts, interviews, webinars, tutorials, lectures, and business or educational channels. Instead of watching a video again to write chapters by hand, they get a structured draft in minutes and only need to review it.
Before generating, users can set the number of chapters, title length and tone. Afterwards, they can rename, add or delete chapters in the editor and copy everything in one click. Timestamply works with videos in many languages.
For teams that use AI agents, Timestamply offers an MCP integration, so tools like Claude Code, Codex and Cursor can generate chapters as part of an automated publishing workflow.
A free plan is available, with paid plans for higher volume and longer videos.