Turn YouTube video transcripts into a searchable knowledge base

It pulls video transcripts, breaks them into chunks, and indexes them so a search tool can find and quote any moment.

How the work actually flows

A straight line. Runs once per one per video link.

Pattern: Sequence (1) ยท Multiple Instances with a priori Design-Time Knowledge (13)

flowchart TD trig(("user submits video list")):::human s0[["fetch video transcripts"]]:::mi s1[("log transcripts to sheet")]:::store s2["split transcript into chunks"]:::task s3[("index chunks in vector database")]:::store trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"searchable video transcript index"/]:::out pay{{"instant answers from video library"}}:::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
A stepRuns once per itemA personA record or sheetResultPayoff
Build size
Advanced

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

Business functions
Knowledge Base & RAGSpreadsheet & Database Ops
Connects
ApifyOpenAIPineconeAirtable

The problem it solves

You have a library of videos full of useful information, but nobody can find the moment where a specific topic was covered. Watching hours of footage to locate one answer wastes time your team doesn't have.

Who it fits

Content teams, coaches, or businesses with a large video library who want that content searchable.

How it works

  1. You provide a list of video links in a spreadsheet
  2. The system fetches each video's transcript with timestamps
  3. It records the transcript back to your spreadsheet for reference
  4. The transcript is split into meaningful chunks with video info attached
  5. AI turns each chunk into a searchable entry stored in a vector database
What you get

Video moments you can find and quote instantly

You get a searchable index of your video library so any moment can be found and quoted instantly.

What you get

A searchable index of your video content that a chatbot or search tool can query later.

What you need

A video scraping subscription, an OpenAI API key, a Pinecone account, and an Airtable 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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