AI Image and Video Quality Control: A Pre-Publish Checklist for Creators

Generation is only the first half of an AI media workflow. The second half is deciding whether the result is accurate, lawful, readable, technically usable, and honest about what it represents.

This checklist is designed for marketing teams, independent creators, and product teams publishing AI-generated images or videos. It does not replace legal advice, platform policies, or channel-specific review.

1. Reopen the original brief

Review the output against the job it was created to do. A visually impressive image can still fail if it leaves no space for copy, depicts the wrong product, or communicates the wrong emotion.

Confirm:

• intended audience and channel;
• single main message;
• final aspect ratio and placement;
• required and prohibited elements;
• brand and factual constraints;
• whether the asset is concept art or a representation of a real offering.

If the brief is vague, improve it before generating more variations.

2. Run a factual accuracy pass

List every claim a viewer could infer. This includes visible text, product features, people, locations, charts, uniforms, flags, safety equipment, historical details, and demonstrations of cause and effect.

Verify facts from an approved source. Never rely on generated text or graphics for:

• prices, discounts, dates, and availability;
• medical, financial, or legal statements;
• certifications and compliance labels;
• ingredient lists or specifications;
• maps, charts, statistics, and news;
• product accessories or performance claims.

If the image is illustrative, label it as such when confusion is plausible.

3. Inspect visual integrity

For images

Zoom to 100 percent and check:

• hands, teeth, eyes, ears, and joints;
• repeated people, products, or background objects;
• edges where subject and background meet;
• reflections, shadows, refraction, and contact points;
• logos, labels, small typography, and serial-like markings;
• asymmetry in objects that should be manufactured precisely;
• implausible scale or perspective.

For video

Watch once at normal speed, once without audio, and once frame by frame around transitions. Check:

• identity and wardrobe continuity;
• object permanence and subject count;
• hand-object contact;
• camera jumps, warped geometry, and unintended cuts;
• lip movement and dialogue alignment;
• flicker, sudden texture changes, and unstable text;
• beginning and ending frames suitable for editing;
• audio artifacts, clipping, and inconsistent ambience.

Do not hide a continuity defect under music or a fast cut if the published context makes it misleading.

4. Review identity, consent, and privacy

Document where every recognizable person came from and what use was authorized. Pay special attention to:

• face references and voice references;
• children and vulnerable individuals;
• private locations, addresses, badges, or license plates;
• implied endorsements;
• realistic synthetic events involving real people;
• edits that change clothing, body, speech, or behavior.

Do not publish deceptive impersonations or non-consensual intimate material. Remove unnecessary personal data from prompts, uploads, filenames, and metadata.

5. Check intellectual-property risk

Review source materials and output separately. Confirm permission for uploaded photographs, footage, music, logos, packaging, fonts, and artwork.

Ask:

• Does the output contain a recognizable protected character or logo that was not requested?
• Could the image be mistaken for an official campaign or endorsement?
• Did the prompt request imitation of a living artist or active studio?
• Are stock references licensed for transformative AI use and publication?
• Does the final channel require attribution?

Replace accidental brand marks and keep documentation for authorized assets.

6. Decide on disclosure and provenance

Disclosure requirements vary by region, platform, and use case. Even when a label is not mandatory, disclose when a reasonable person could make an important decision based on believing the media is a real photograph, recording, testimonial, or event.

Keep an internal provenance record containing:

• date and operator;
• model and provider shown at generation time;
• prompt and negative constraints;
• reference files and proof of permission;
• generation settings;
• selected output and subsequent edits;
• reviewer and approval decision.

Avoid stripping provenance metadata when the delivery channel supports and preserves it.

7. Validate accessibility

AI-generated media still needs accessible publishing.

For images, write alt text that explains purpose and relevant content rather than listing visual adjectives. For decorative images, use empty alt text. Do not repeat a caption word for word.

For video:

• add accurate captions for speech and meaningful sound;
• provide a transcript when appropriate;
• avoid rapid flashing and unsafe motion effects;
• ensure on-screen text remains long enough to read;
• check color contrast and mobile legibility;
• add audio description when visual information is essential and not spoken.

8. Perform delivery checks

Open the exported file outside the generation tool. Confirm:

• correct dimensions, aspect ratio, duration, and orientation;
• appropriate color profile and no unexpected gamma shift;
• acceptable compression at the actual upload bitrate;
• clean audio channels and loudness for the destination;
• descriptive filename without private data;
• final text and legal line remain within safe areas;
• thumbnail communicates the subject at small size.

Test the real publishing surface on desktop and mobile when possible.

A simple approval matrix

The same person can fill several roles on a small team, but the decisions should still be explicit.

Stop conditions

Do not publish when:

• a real person appears without appropriate permission;
• a factual claim cannot be verified;
• a product or service is materially misrepresented;
• the image includes accidental protected branding that changes meaning;
• the output violates the destination platform's safety rules;
• a severe generation artifact could deceive or harm viewers;
• required disclosure or accessibility work is incomplete.

Save the checklist with the asset

Quality control is most reliable when it is part of the production file, not a memory-based final glance. Copy the sections above into a reusable review form and attach it to every approved asset.

For the creation stage, see the Seedream brief-to-image workflow and AI video camera movement guide.