Digital Asset Factory: Vector Export Settings Reviewers Flag Most

You exported a clean set of vector-style assets, submitted them, and got rejected for artifacts you cannot even see at 100 percent zoom. Most of those rejections trace back to a handful of export settings, and this guide covers the exact vector export settings that fix them, plus how a system like Digital Asset Factory applies them automatically.

What's inside

• Stop losing submission slots to raster traces and anti-aliasing edges you did not know you exported

• Generate flat vector-style raster art in batches, with export settings locked in before review

• Write metadata once and reuse it, instead of retyping titles and keywords for every file

• Know which AI-content declarations Adobe Stock and Vecteezy require before you upload

Why you can trust this

• The pipeline behind Digital Asset Factory has processed 499 assets, passed 152 through QC, and submitted 63 to stock platforms.

• It runs on a $5 per month server with no GPU and no team, and has shipped 39 sticker packs as concrete output.

Common mistakes to avoid

1. Exporting with anti-aliasing on or the wrong resolution, which leaves soft edges reviewers flag as not true vector style.

2. Uploading AI-generated files without checking each platform's AI content rules and declaring them as required.

3. Writing keywords after export instead of building metadata into the pipeline, which leads to thin or duplicated descriptions.

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FAQ

What export settings do stock reviewers flag most?

Soft or anti-aliased edges, low resolution raster files submitted as vector style, stray background pixels, and missing or wrong AI content declarations. Lock resolution, disable compression artifacts, and check edges at high zoom before submission.

Do I need a GPU or a team to run an asset pipeline like this?

No. The Digital Asset Factory pipeline runs on a $5 per month server with no GPU and one person handling everything from generation to submission.

What do Adobe Stock and Vecteezy require for AI-generated assets?

Both platforms publish public rules on AI content and metadata. In practice that means declaring AI generation where required and providing accurate titles, keywords, and categories for every file.