Invisible Unicode
Hidden or unusual characters embedded in text. These can be found and cleaned deterministically.
Inspect provenance signals, clean formatting artifacts, rewrite with editorial control, and understand what AI detection can—and cannot—tell you.
Remove AI Watermark workspace
Private by default · no document analytics
Step 1
500–2,000 words works best for a first pass.
A clear workflow
Every stage is visible. Rewriting is separated from provenance checks, and factual preservation takes priority over stylistic change.
Inspect Unicode, formatting artifacts, language, and available provenance signals.
Choose the editorial depth and tone while keeping control of every constraint.
Validate names, dates, numbers, URLs, citations, and technical terminology.
Run every available check again, with the limitations shown in plain language.
Review the original, final copy, and a highlighted word-level diff before copying.
Know what you are measuring
AI detection, watermark detection, provenance, and authorship are not interchangeable. Remove AI Watermark keeps each conclusion scoped to the evidence behind it.
Hidden or unusual characters embedded in text. These can be found and cleaned deterministically.
Generation-time token patterns that require a compatible, authoritative detector to verify.
C2PA, EXIF, XMP, and author fields live in a file container—not in plain pasted text.
Probabilistic estimates with meaningful error rates. They are not proof of authorship.
A watermark detector may indicate that parts of a text were generated using a particular model. It cannot establish who authored, edited, approved, or owns the final document.
Simple plans
For occasional editorial checks.
For a dependable writing workflow.
For higher-volume publishing.
Document contents are excluded from analytics and application logs. Choose transient processing, control retention, and see which configured provider receives your text.