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Answers to Common AI Image and Video Questions

How to Build an Export Package for AI Video

An export package is the handoff between production and publication. It proves that the correct cut, audio, captions, metadata, and rights context are being released.

Saving only an MP4 makes later corrections, platform variants, and audits unnecessarily expensive.

Keep a master cut

Preserve the highest-quality approved edit before platform compression. Record resolution, frame rate, color space, audio layout, edit version, and creation date.

The master is the rollback point when a caption, claim, product fact, or voice line changes.

Define platform variants

List each destination with aspect ratio, safe areas, duration, resolution, bitrate target, codec, container, audio loudness, thumbnail, and caption delivery method.

Review crops on the actual device class. A subject that fits the master frame can be cut on a vertical social variant.

Include accessibility artifacts

Package the final caption file or embedded caption state, transcript, audio description decision, and any platform-specific accessibility settings.

Verify captions against the exported variant, not only the timeline in the editing project.

Include metadata and provenance

Record title, description, language, publication URL, AI-use disclosure decision, rights notes, voice consent scope, source references, and approval history.

If provenance credentials are used, note where they apply and what they do not prove. They supplement review rather than replace it.

Conclusion

An export package should make the correct release reproducible: master, variants, captions, context, and approval evidence travel together.

Editorial note: This guide was drafted with AI assistance, then checked and edited against the sources listed below on September 20, 2026. It does not report an unperformed product test.

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