Transcript Intelligence

Analyze what a video says, not just its caption or engagement count.

Inputs

• One or more TikTok, Instagram, YouTube, Facebook, X, LinkedIn, Reddit, or Rumble post or video URLs.
• The brand, product, or research question.
• Optional comparison dimensions such as hooks, objections, proof, or creator delivery.

Workflow

1. Fetch the post metadata with scrapecreators-api.
2. Fetch the platform transcript when available. For YouTube, collect public sponsorship signals when relevant. If a transcript is unavailable, explicitly mark the item as caption-only; never invent spoken content.
3. Preserve timestamps and speaker changes.
4. Extract:
   • opening hook and first payoff;
   • problem, desired outcome, and audience language;
   • product claims and the evidence offered;
   • objections raised or answered;
   • calls to action and disclosed sponsorships;
   • quotable phrases, limited to short excerpts.
5. Compare repeated patterns across videos. Distinguish a single creator's style from category-wide evidence.

Output

Return a table per video with source URL, platform, timestamps, hook, claims, proof, objections, CTA, sponsorship signal when available, content atoms, and confidence, followed by cross-video patterns and concrete implications for research, repurposing, or creative work.

Guardrails

• Never present an auto-transcript as perfectly accurate.
• Flag unclear brand names, numbers, ingredients, prices, and regulated claims for verification.
• Treat high engagement as a distribution signal, not proof that a claim is true or a creative caused the result.