7 Metadata Mistakes That Get Stock Submissions Rejected

A rejected submission is worse than a slow one — it's wasted effort and, in volume, a threat to your account standing. Many rejections have nothing to do with image quality; they're metadata problems that are entirely preventable. Here are the seven most common, and how to avoid each.

1. Keyword spam

The number-one metadata rejection. Adding irrelevant keywords to "catch more searches," repeating terms, or padding every field to its maximum triggers spam filters on Shutterstock and others. Fix: every keyword must be visible or clearly implied in the image, and you should stop when you run out of accurate ones — not when you hit the cap. See how many keywords a photo needs.

2. Missing model or property releases

Recognizable people, private property, and some landmarks require a signed release for commercial use. Submit without one and it's rejected (or forced to editorial). Fix: attach the release, or submit as editorial with the correct caption.

3. Wrong editorial captions

Editorial images must be captioned in a strict format — typically City, Country – Date – Description — and describe the scene factually. A missing date, wrong format, or promotional language gets editorial submissions bounced. Fix: follow the exact caption pattern the platform specifies.

4. Undeclared AI content

Marketplaces that accept generative-AI images require you to declare them, and still enforce likeness and trademark rules. Uploading AI work as if it were a photo — or assuming "AI" exempts you from releases — is a fast rejection. Fix: flag AI content and title it descriptively. More in keywording AI images.

5. Wrong or missing category

Choosing a category that doesn't match the content (or leaving the auto-guess in place when it's wrong) hurts discoverability and, on some platforms, causes rejection. Fix: set the category deliberately per image using the platform's real taxonomy.

6. Mismatched or filename titles

Titles like "IMG_2093," titles that don't match the image, or identical titles copy-pasted across a batch all raise flags. Fix: write a specific, accurate title per image.

7. Broken CSV formatting

For bulk uploads, a malformed CSV — wrong column names, unquoted keyword lists split into extra columns, filename mismatches, non-UTF-8 encoding — can reject an entire batch at once. Fix: match each platform's exact column format. See bulk CSV metadata upload.

The pattern behind all seven

Almost every metadata rejection comes down to accuracy and format: relevant keywords, correct categories, honest declarations, and the exact column layout each site expects. Get those right and rejection rates drop sharply.

StockPhotoTags is built to keep you on the right side of all seven — relevant, capped keyword sets; correct categories; natural, unique titles; and CSVs in each marketplace's exact format. Fewer rejections, less rework, more accepted images.