YouTube Timestamp Generator is an AI tool for generating chapter timestamps for YouTube videos, with its official website at https://youtubetimestampgenerator.net/。其核心用途是把公开的 YouTube videos or authorized local video files into a chapter list that can be pasted directly into a YouTube description, reducing the workload for creators of manually recording timestamps one by one.
Purpose and Applicable Scenarios This tool is aimed at the YouTube creator workflow and is suitable for videos that need chapter navigation, such as tutorials, podcasts, product demos, and course explanations. Users can use it to generate automatic chapters for long videos, allowing viewers to quickly jump to the content they are interested in; they can also use it to first generate a chapter draft for a local draft video before publishing, and then use it at publish time. The tool emphasizes that the chapter list should serve a "publishable" finished product, rather than merely being a demo.
Main Capabilities
- Source access and verification: It supports pasting public YouTube watch links, short links, or Shorts, and the tool verifies the address before creating a task; for draft videos, users need to log in and privately upload supported formats. The tool records the source type, trusted duration, processing coverage, and verification results.
- AI identification of topic changes: The tool uses AI to identify natural segmentation points in the video within the limited preview or full analysis range for generating chapters, but it does not present the raw model output directly as the final result.
- Duration and coverage management: The tool first calculates the trusted video duration and clearly marks the coverage boundary of the free preview as well as the unprocessed parts. New accounts can receive up to about 10 minutes of eligible preview coverage, and full analysis only starts after explicit unlocking. Each chapter list retains its coverage range, so users can tell whether what they are seeing is a preview or the full result.
- Chapter editing and validation: The generated result is a draft, and users can add, reorder, merge, delete, and rename chapters in the editor. The tool validates against YouTube chapter rules, including the first entry starting at 00:00, at least three meaningful chapters, strictly increasing timestamps, sufficient spacing between adjacent chapters, and titles suitable for public display. Field-level feedback appears next to the editing item that needs modification, and the overall status indicates whether it is "Ready for YouTube."
- Export and copy: When a real timestamp task passes validation, "Copy for YouTube" can be used to generate a format with one timestamp plus title per line, ready to paste directly into the description; "Copy Markdown" can also be used, or a .txt file can be downloaded. Decorative examples, placeholder timelines, and incomplete tasks will not trigger export, and the relevant actions remain disabled until the chapters pass the same validator.
How to Use Public videos: Paste a public YouTube link or Shorts link, preview the source, then log in to create an analysisTask. Local draft: After logging in, upload a supported local video file for private analysis. Edit and publish: In the editor, proofread the chapter order, titles, and timestamps, confirm the validation status, then copy the YouTube description format or export Markdown / .txt.
Limitations and notes The tool provides free preview coverage of up to about 10 minutes for new accounts; full analysis requires choosing a monthly or annual plan to unlock. Specific limitations and billing terms must be viewed on the pricing page; the materials do not provide specific prices. Specific answers to questions such as supported local file formats, video retention policy, and "which YouTube videos are available" are listed only as questions in the materials, with no detailed explanation given, and are not yet available. The tool does not export chapter data for sample, invalid, or incomplete tasks; preview content is illustrative and is not real-time analysis or visitor results.
