Adobe Vecteezy And Dreamstime CSV Headers That Pass Review The First Time

Description and use

The author learned to craft exact CSV headers for Adobe Stock, Vecteezy, and Dreamstime, and implemented an upload tracker to avoid duplicate submissions, enabling successful delivery of 39 products without rejections.

Problem

Submitting a batch of 41 vector files to Adobe Stock failed within an hour because the CSV header was incorrect, causing all files to be rejected before any thumbnails were examined.

Outcome

Correct CSV headers and upload tracking eliminated batch rejections and prevented account warnings, enabling smooth submission of 39 products and 856 MB of output on a 2 GB server.

Workflow

• 1. Identify required CSV columns for each platform.
• 2. Write exact header strings: Adobe – Filename,Title,Keywords,Category,Releases; Vecteezy – Filename,Title,Keywords,Category; Dreamstime – 15 columns including Filename, Image Name, Description, Category 1, Category 2, Category 3, Keywords, Free, Warranty, Model Release, Property Release, Image Type, Extra Instructions, Editorial, Adult Content.
• 3. Apply platform-specific rules: match filename exactly, limit title to ~200 chars, use comma‑separated keywords (max 49), use numeric categories, leave Releases blank, mark AI‑generated content via form checkbox.
• 4. Create scripts (make_metadata.py) to generate correct CSVs from a folder of files.
• 5. Implement upload_tracker.py to log completed uploads and prevent re‑posting identical assets.
• 6. Run uploads sequentially, monitor memory, and avoid parallel jobs.
• 7. Verify successful submission and avoid account flags.

Evidence

Adobe Stock's contributor upload CSV is the simplest of the three, which is why it stings the most when it fails. Five columns:

Source

The rules that actually matter, learned the hard way: Filename must match the uploaded file exactly, extension included. A case mismatch counts as a mismatch.

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Vecteezy's CSV is: Filename,Title,Keywords,Category

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Dreamstime is fifteen columns and most of them stay empty

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I wrote upload_tracker.py, which is about sixty lines of standard library Python. It keeps a ledger file of what has been marked done, pending shows what is left, and a re‑run simply cannot re‑post a finished asset.

Source