Open and integrable
Scan AI text artifacts from any workflow
Send text from an AI API, automation, CMS, browser tool, or internal workflow and receive an immediate structured report plus a cleaned copy. The response identifies literal artifacts and never turns them into an authorship accusation.
JSON API
POST a text string to /api/v1/scan. Use the response directly in Make, Zapier, n8n, your model pipeline, or a webhook receiver.
curl -X POST https://aitextwatermark.com/api/v1/scan \
-H "Content-Type: application/json" \
-d '{"text":"copied text"}'Open-source core
A dependency-free package with exact code-point reporting, conservative local cleaning, TypeScript types, CLI support, tests, and an MIT license.
Install ai-text-watermark-scanner from npm, or review and contribute to the source on GitHub. Hosted reports, batch workflows, provider updates, and browser tools remain available here.
Can AI providers webhook directly into this?
Yes when you control the provider API call or automation. Send the returned model text to the scan endpoint before displaying, storing, or publishing it. Consumer chat websites do not generally send third-party webhooks, so the Chrome extension handles those copy-and-paste workflows.