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YouTube AI Disclosure and Source Notes Template
Ready for a real production.

A publication-note template for realistic synthetic reconstruction, editorial responsibility, sources, corrections, and viewer context.

Runtime
Upload artifact
Format
Description and disclosure notes
Audience
YouTube documentary publishers and channel managers

Use this brief

Draft publication notes for [film title]. State what was generated or altered, what the visuals represent, who reviewed the factual claims, where viewers can inspect sources, how corrections are handled, and which parts are interpretation or reconstruction. Do not claim legal, policy, or monetization clearance.

Required inputs

  • Exact inventory of generated, altered, authentic, licensed, and third-party media
  • Verified source list and any material uncertainty or correction note
  • Applicable YouTube altered-content selection for the exact upload
  • Rights owner, reviewer, publication date, and correction contact

Editorial structure

  1. 1

    One plain-language sentence describing the film's editorial purpose.

  2. 2

    A specific synthetic-media statement describing realistic reconstruction or meaningful alteration.

  3. 3

    A source section with titles, institutions or authors, and direct links.

  4. 4

    A responsibility statement explaining that the publisher reviewed the final film.

  5. 5

    A corrections line with a monitored contact or process.

Acceptance checks

  • Match the disclosure to the exact visuals; avoid vague blanket language that hides meaningful alteration.
  • Use YouTube's current upload disclosure controls when required and verify current policy at publication time.
  • Do not imply that AI generation proves, reenacts exactly, or authenticates a historical event.
  • Keep source notes useful to viewers rather than dumping unreviewed links.

Visual direction

Disclosure belongs in upload controls and viewer-facing context; do not rely only on a tiny end card.

Narration direction

Use a spoken disclosure when omission would materially change how a reasonable viewer interprets a realistic scene.

Evidence and next steps

Complete Onira Studio films are first-party product evidence, not customer case studies or guarantees of factual accuracy, publication acceptance, retention, or revenue.

Questions

Does disclosure make every AI video compliant or monetizable?

No. Disclosure addresses viewer transparency and platform requirements, but it does not resolve originality, rights, factual, advertiser, or monetization questions.

Should source links be placed in the YouTube description?

For factual documentaries, a curated source section improves transparency. It should support the published claims and be maintained when corrections are made.