Running 39 Products Through Adobe, Vecteezy And Dreamstime Without Spending On Cloud

Description and use

A pipeline that automates CSV header creation, upload tracking, packaging, and cover rendering enables uploading 39 products to Adobe Stock, Vecteezy, and Dreamstime without cloud costs, running on a 1‑core, 2 GB RAM server.

Problem

Uploading vector files to Adobe Stock, Vecteezy, and Dreamstime fails instantly if the CSV metadata header is incorrect, causing wasted time and potential account flagging.

Outcome

The pipeline processed 39 finished products (~856 MB) on a 1‑vCPU, 2 GB RAM server with no cloud bill, avoiding upload rejections and double‑posting flags.

Workflow

• Read vector files and optional titles.json
• Generate platform‑specific CSV header with make_metadata.py
• Track upload status with upload_tracker.py
• Convert Markdown to styled PDF with md2pdf.py
• Zip files and render cover/thumbnail with pack_product.py
• Upload to chosen platform

Evidence

Adobe's uploader checks the header row before it looks at a single file. Five columns, in their exact order.

Source

The whole pipeline runs on a 1-core box, and it works because of habits, not hardware: One process at a time. Never fan out image jobs in parallel on a single core.

Source

The four scripts here are the packaging layer you can actually reuse.

Source