Adobe, Vecteezy And Dreamstime CSV Headers Compared: The Exact Columns Each Uploader Demands

说明与用途

作者用两个Python脚本替代手动创建Adobe Stock、Vecteezy和Dreamstime的CSV文件，自动生成正确的标题和关键字格式，消除了上传错误并节省了时间。

问题

Uploading assets to multiple stock platforms was error‑prone because each platform requires a different CSV header format, leading to rejected submissions and wasted time.

结果

The author replaced a manual, error‑prone CSV creation process with two 200‑line scripts, saving an entire evening and preventing duplicate uploads.

工作流

• 1. Identify required headers for each platform. 2. Write a Python script (make_metadata.py) that generates platform‑specific CSVs from a folder of assets. 3. Use keyword separators: space‑joined for Adobe, comma‑joined for Vecteezy and Dreamstime. 4. Optionally title‑case filenames when no title file is provided. 5. Run upload_tracker.py to keep a ledger of uploaded assets and avoid double‑posting.
• 6. Submit the generated CSV to the respective platform.

证据

Adobe wants <code>Filename</code> in position one but with five columns exactly, in their order, no extras.

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Keywords are space-separated inside one quoted cell, not comma-separated.

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Vecteezy’s contributor CSV is shorter: four columns. Keywords here are comma-separated.

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Dreamstime’s CSV template has fifteen columns, and the honest truth is that most of them stay blank for a solo maker doing AI-assisted work.

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