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AtlasRepo

Why Wrong CSV Headers Get Your Stock Uploads Rejected Before Anyone Looks At Them

Description and use

Incorrect CSV headers cause instant rejections on stock platforms. Automated scripts generate correct headers and track uploads, eliminating header errors and duplicate submissions.

Problem

Incorrect CSV header rows cause instant machine rejections on stock platforms, wasting time and resources.

Outcome

Header errors and duplicate uploads were eliminated, reducing rejection time from minutes to zero and saving significant manual effort.

Workflow

  • 1. Run make_metadata.py with platform flag to generate a correctly‑formatted CSV.
  • 2. (Optional) Provide titles.json to replace default titles and keywords.
  • 3. Use upload_tracker.py to check pending uploads before running the upload script.
  • 4. Mark assets as done in the ledger after successful upload.
  • 5. Repeat for subsequent batches, ensuring no duplicate submissions.

Evidence

The parser choked on my header row and the whole batch bounced.

Source

Adobe Stock: 5 columns. Filename, title, keywords, category, releases.

Source

I wrote make_metadata.py. It takes a folder of files and a platform flag and writes the exact header that platform demands, and nothing else.

Source

The upload script re‑ran, the same filenames went up again, and duplicate submissions are one of the fastest ways to get an account flagged.

Source

  • Record date: 2026-10-19T00:56:09.772Z