AI companies are increasingly looking for ways to mark content generated by their models. Now, someone has built an open-source tool designed to remove some of those marks.
A GitHub project called watermarks-remover is designed to strip different types of AI provenance signals from text and files. According to its documentation, it can work with invisible Unicode characters, statistical text watermarks and metadata embedded in formats including PNG, JPEG, SVG, PDF, DOCX, ODT, HTML and Markdown.
That sounds straightforward until you look at how some of these watermarks actually work. A metadata tag can be removed relatively cleanly. A…
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