You spent hours shooting, editing, and preparing your stock photos. You upload them with care. Then the email arrives: “Your submission has been rejected.”
It stings every time. But here’s the thing — most stock photo rejections aren’t about image quality. They’re about metadata mistakes that are entirely preventable.
After analyzing thousands of rejection reports across Adobe Stock, Shutterstock, and Freepik, here are the 10 most common metadata-related reasons for rejection and how to avoid every single one.
1. Trademarked Terms in Keywords
This is the single most common metadata rejection reason. Including brand names, product names, or trademarked terms in your keywords will get your image rejected instantly.
Examples of terms that trigger rejections:
- Brand names: Nike, Apple, Coca-Cola, IKEA
- Product names: iPhone, MacBook, PlayStation
- Character names: Mickey Mouse, Spider-Man
- Event names: Olympics, Super Bowl, World Cup
How to avoid it: Never include brand names even if the product is visible in the image. Describe it generically: “smartphone” not “iPhone,” “sports shoe” not “Nike.”
Meita.ai helps here with its Banned Keywords feature — add common trademarked terms to your banned list, and they’ll never appear in generated keywords.
2. Celebrity and Public Figure Names
Including names of recognizable people — even if they’re not in the photo — is an immediate rejection. This extends to:
- Politicians, actors, musicians, athletes
- Social media influencers
- Historical figures (in some contexts)
The rule: If a person in your photo is recognizable, you need a model release. If you don’t have one, don’t upload the image. And never add celebrity names as keywords to boost discoverability — that’s grounds for account suspension.
3. Inaccurate or Misleading Titles
Your title should accurately describe what’s in the image. Common mistakes:
- Over-promising: “Beautiful sunset over the ocean” for a mediocre overcast beach shot
- Wrong subject: Titling a cityscape photo “New York City” when it’s actually Tokyo
- Keyword stuffing in titles: “Business meeting office corporate teamwork professional” — that’s not a title, it’s a keyword dump
Best practice: Write a natural, descriptive sentence. “Two colleagues reviewing a document in a modern office” beats “Business people working professional corporate.”
4. Wrong Categories
Most stock platforms require you to select a category for each image. Choosing the wrong one leads to rejection or poor discoverability.
Common mistakes:
- Selecting “Nature” for a photo that’s primarily about the person in front of the mountain
- Choosing “Business” for a home office setup that’s more “Lifestyle”
- Defaulting to the same category for everything
Meita.ai’s AI automatically suggests Adobe Stock and Shutterstock categories based on image analysis. Enable this in Settings → Runner → Enable Category.
5. Spam Keywords (Irrelevant Tags)
Adding keywords that don’t relate to the actual image content is keyword spam. Platforms are increasingly aggressive about detecting and rejecting it.
Red flags for reviewers:
- Color keywords for colors not in the image
- Location keywords for generic studio shots
- Emotional keywords that don’t match the image mood
- Trending keywords stuffed in for visibility
The test: For each keyword, ask yourself: “If a buyer searched for this term, would they be satisfied finding my image?” If the answer is no, remove it.
6. Duplicate Submissions
Uploading the same image twice — or images that are too similar — leads to rejection of the duplicates. This includes:
- Same image with minor crop differences
- Same scene with trivial lighting adjustments
- Horizontal and vertical crops of the same photo
- Slight color grade variations
Meita.ai includes Similar Image Detection that catches near-duplicates before you upload. Set the threshold in the File Editor tab and let it flag groups of too-similar images.
7. Missing or Incomplete Metadata
Some platforms reject images with empty metadata fields. Even where it’s not required, incomplete metadata dramatically reduces discoverability.
What you need at minimum:
- Title (descriptive, natural language)
- Keywords (15-50 depending on platform)
- Category selection
What’s strongly recommended:
- Description (especially if your platform supports separate title and description fields)
- Editorial flag (if the image contains newsworthy content)
Use Meita.ai’s Incomplete status filter to quickly find and fix images missing any metadata fields before export.
8. Keyword Language Mismatch
If your target platform is English, your keywords should be in English. Mixing languages in keywords — even accidentally — triggers rejections on some platforms.
Common scenarios:
- Auto-translated keywords that don’t make sense
- Technical terms left in the original language
- Location names in the local language instead of English
When using Meita.ai, set the Language field to match your target platform. The AI generates keywords in your specified language consistently.
9. Mentioning AI Generation Without Proper Labeling
As of 2025-2026, most platforms require clear labeling of AI-generated content. Metadata-related issues include:
- Not disclosing AI generation when required
- Adding “AI generated” as a keyword when the platform has a separate toggle for it
- Inconsistent labeling across a batch
Check each platform’s current AI content policy before uploading. Adobe Stock, Shutterstock, and Freepik all have specific requirements for AI-generated image labeling.
10. Images with Detectable Defects Not Flagged
While this is technically an image quality issue, metadata plays a role. Some platforms now expect you to self-report potential issues:
- Visible watermarks or logos from other tools
- Compression artifacts from over-processing
- Noise or blur that may not be immediately obvious
Meita.ai’s AI automatically detects potential defects during metadata generation and flags them with a “Defect?” badge. It also flags images containing faces/hands (which may need model releases) and animals (which some platforms handle differently).
Review these flags before exporting — fixing or removing problematic images before upload avoids batch rejections.
Your Pre-Upload Checklist
Before hitting upload, run through this checklist:
- ✅ No trademarked terms in keywords or title
- ✅ No celebrity or recognizable person names
- ✅ Title accurately describes the image in natural language
- ✅ Correct category selected
- ✅ All keywords are genuinely relevant to the image
- ✅ No duplicate or near-duplicate images in the batch
- ✅ All metadata fields are filled (title, keywords, category)
- ✅ Keywords are in the correct language
- ✅ AI-generated content is properly labeled
- ✅ Flagged defects have been reviewed
Automate the Safety Net
Manual checking works for small batches, but when you’re uploading hundreds of images, mistakes slip through. Meita.ai acts as an automated safety net:
- Banned Keywords filter out trademarked and problematic terms automatically
- Double Filter runs keyword quality checks twice for extra safety
- Defect Detection flags potential quality issues
- Similar Image Detection catches duplicates
- Incomplete Filter ensures no empty fields
Set up your banned keyword list once, configure your filters, and every batch you process will be cleaner than the last.
Tired of rejections? Download Meita.ai and catch metadata mistakes before they cost you uploads.