Metadata and Compliance: The Mistakes That Get Your Assets Rejected
Last March I lost a full weekend to a CSV header. I had 60 vector files ready for Adobe Stock, a batch-generated metadata file, and I hit submit feeling good about it. Every single row came back rejected in under a minute. The reason was not the art. The reason was that my CSV had six columns instead of five, and Adobe's ingest checks the header row before it looks at anything else. Sixty assets,…
Metadata and compliance are crucial for getting your assets accepted on asset-sharing platforms. One common mistake is submitting a CSV file with a mismatched header row, as seen when the author lost a full weekend due to a six-column header instead of the required five. To avoid this, a single script that generates the correct header for each platform can be used, saving time and preventing errors.
Another error is neglecting to provide accurate titles and keywords for your assets, which can lead to rejection and hinder search discovery. A better approach is to use a JSON file of real titles and keywords per asset, passed in explicitly during the upload process. This ensures that the metadata is of high quality and increases the chances of acceptance.
Double-posting is another issue that can lead to account flagging. To prevent this, maintain a ledger that tracks uploaded assets and marks them as "done" once processed. Automating this process with a simple script can ensure that duplicate submissions never occur.
When using AI-generated content, it's essential to declare it on the platform and ensure that the art passes review without issues like garbled text or recognizable trademarks. Reviewing a low-resolution preview of the AI-generated image can help identify any problems before submission.
Lastly, maintaining a consistent folder structure for your assets can help you avoid losing important information. Keep a fixed folder structure with separate directories for raw output, ready-to-submit files, finished product zips, and research notes. This will help you avoid losing valuable data and ensure that your pipeline runs smoothly.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
