Automatically add chapter timestamps to your YouTube videos

Writes accurate chapter timestamps for every new YouTube video and updates the description automatically.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"new video detected on channel"]:::trig s0["confirm video is new"]:::task s1["pull video transcript"]:::svc s2["generate chapter timestamps"]:::svc s3["update video description"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"video description updated with chapters"/]:::out pay{{"better viewer navigation with no effort"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Advanced

A larger build with multiple systems, AI reasoning, and custom rules.

Business functions
AI Agents & Autonomous SystemsSpreadsheet & Database Ops
Connects
YouTubeSupaDataOpenAIAirtable

The problem it solves

Adding chapter markers to every new video means replaying the whole thing and manually timing out each section. It's tedious enough that most creators just skip it, even though viewers rely on chapters to navigate.

Who it fits

YouTube creators and channels who publish regularly and want every video to include chapter markers without doing it by hand.

How it works

  1. A new video is detected on your channel
  2. The system checks that it hasn't already been processed
  3. A full transcript is pulled from the video
  4. AI reviews the transcript and writes chapter titles with timestamps
  5. The chapters are appended to the end of your video description
What you get

Viewers who find your content faster

Every new video you publish gets accurate chapter timestamps written straight into the description, ready as soon as it's live.

What you get

An updated video description with accurate, formatted chapter timestamps.

What you need

A YouTube channel, a transcript service like SupaData, and an OpenAI account.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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