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Generate YouTube chapters and timestamps from video captions. Adjust the number, length and tone, edit them, and copy them into your description.

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Website, pricing, platforms and company facts side by side.
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| Website | timestamply.io | diffee.me |
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| Company | Startup from Israel · 1 - 9 employees · 2026 | — |
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In their own words, as submitted to SaaSHub.


Timestamply creates chapters for YouTube videos from their captions. Paste a video link, and it splits the video into sections and writes a title for each one. How it works 1. Paste a YouTube link 2. Optionally set the number of chapters, title length and tone 3. Review and edit the chapters —...
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What each product offers, as listed by its team.


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Walkthroughs and reviews on video.
How to generate YouTube chapters with Timestamply: paste a link, adjust the settings and copy the chapters into your description.
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As answered by people managing Timestamply and Diffee.
Timestamply's answer
You control how the chapters look before they’re generated: the number of chapters, title length and tone. After that you can edit everything, then copy it straight into your description. Timestamply also has an MCP integration, so AI agents like Claude Code, Codex and Cursor can create chapters as part of their workflow.
Timestamply's answer
It’s focused on one job: chapters for YouTube videos. There’s no video editor or subscription bundle to learn, just paste a link and get chapters you can adjust to your style. You can try it on a real video for free, without a credit card.
Timestamply's answer
Creators who publish long videos on YouTube — podcasts, interviews, tutorials, lectures and business or educational channels — and want viewers to find the part they need without writing chapters by hand.
Timestamply's answer
Timestamply is built by two brothers. We wanted a simple way to get good chapters for long videos without spending time on them manually, so we built the first version in 2026 and kept improving it based on what creators need.
Timestamply's answer
JavaScript, Python for processing video captions and large language models for splitting videos into chapters and writing titles.
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