About Image Blind Watermark
A photographer posts a portfolio shot to Instagram. A client receives a draft poster as an email attachment. A stock illustration ships to a marketplace. Two weeks later — the same image appears on a competitor's landing page, screenshotted by a former employee, or scraped into an AI training set. A visible watermark would deter casual theft but ruin the artwork; metadata gets stripped on the first share; takedown notices need proof of ownership that a JPEG simply doesn't carry.
An invisible (blind) watermark embeds a hidden marker
directly into the image's frequency domain — imperceptible to the eye
yet recoverable later as digital proof. This tool runs the open-source
blind_watermark library with five
algorithm choices (DWT+DCT recommended), three payload types
(text, a small image logo, or a custom
bit array), and two independent passwords so only the
rightful holder can extract. The watermark survives JPEG re-compression,
downscaling, moderate cropping, and most platform processing pipelines.
Use the built-in attack simulator to stress-test the watermark across seven image attacks — crop, rotate, brightness/contrast shift, Gaussian noise, blur, JPEG compression — before publishing. Typical workflows include photographer copyright on portfolio uploads, designer leak forensics on confidential client mockups, news agency provenance marking, anti-AI-scraping for original illustrations, and e-commerce product photo protection. JPG and PNG files up to 10 MB are processed in a stateless serverless function and discarded after the response.