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Four Python Scripts Help One Asset Set Become 39 Products Across Stock Platforms

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A creator describes how a rejected batch of 40 vector files on Adobe Stock, caused by an incorrect metadata CSV header, led to building automation tools. Each stock platform, including Adobe, Vecteezy, and Dreamstime, requires its own CSV format, so the author wrote a script that generates the exact header each uploader expects. A separate ledger script tracks uploaded assets to prevent duplicate postings, which can draw slower reviews. The same assets are also turned into standalone products, using scripts that convert Markdown to styled PDFs and bundle files into zips with cover images. The tools rely on Python 3.9+, with only Pillow and reportlab as third-party dependencies.

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