Building The Exact Adobe, Vecteezy And Dreamstime Metadata CSVs With One Python Script

Description and use

Automating CSV metadata creation for Adobe Stock, Vecteezy, and Dreamstime with a single Python script eliminates header errors and duplicate uploads.

Problem

Hand‑building CSV headers for multiple stock platforms caused repeated upload failures and duplicate submissions.

Outcome

Automated metadata generation reduced batch failures from header errors, eliminated duplicate uploads, and saved time on large asset collections.

Workflow

• 1. Place assets in a fixed folder structure.
• 2. Run python make_metadata.py ./my-assets --platform <platform> --out <csv> for each platform.
• 3. Use upload_tracker.py to log completed uploads and avoid duplicates.
• 4. Verify CSVs before uploading to the respective stock sites.

Evidence

Adobe's uploader checks the column names before it looks at a single file, and I had the columns in the wrong order.

Source

Vecteezy rejected the same batch for a different reason: I had exported five columns when their importer expects four.

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Their upload CSV is fifteen columns. Nobody builds that by hand twice.

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The script reads a folder, walks the files matching your extension, and writes the exact header each platform expects, nothing else.

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The part I am most satisfied with: make_metadata.py needs no pip install at all.

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