Removing AI Watermarks in Bulk with an API

Cleaning one image in a browser is great. Cleaning ten thousand isn’t — nobody’s dragging files one at a time. If you’re processing AI images at volume, you want an API that removes watermarks and metadata programmatically. Here’s how that works.

When you need an API instead of the web tool

• A content pipeline that generates AI images and needs them clean before publishing.
• An e-commerce catalogue with hundreds of product shots to de-badge.
• A SaaS product that offers “clean export” to its own users.
• Any batch job where doing it by hand would take hours.

How the Unmarkr API works

1. Create an account and generate an API key from your dashboard.
2. POST each image to the removal endpoint with your key as a bearer token.
3. Get the cleaned image back — visible marks and AI metadata removed in one call.

It’s metered by credits (one credit per image), so cost scales with usage and there’s nothing to provision. Full request/response details, code samples and rate limits are in the API documentation.

What it removes at scale

The same engine as the free tool: visible badges like the Gemini sparkle and provenance metadata such as C2PA and “Made with AI” tags — applied automatically across your whole batch.