Analyze text and images for hidden signals, SynthID watermarks, stealth Unicode characters, AI signatures, and humanize content instantly.
Paste text to inspect statistical watermarks, invisible tracking tokens, or AI model fingerprints.
Everything needed to verify content authenticity, protect media, and refine text.
Identifies invisible statistical text watermarks, tracking tokens, and structural signals injected into copy by major AI providers.
Scans stock images and AI generated art for visible logos, transparent grids, metadata tags, and invisible SynthID pixel watermarks.
Exposes zero-width space tricks, non-printable characters, and lookalike homoglyph alphabets used to trick filters or obscure copy.
Evaluates text across perplexity and burstiness metrics to deliver clear percentage scores on ChatGPT, Claude, and Gemini origin.
Restructures robotic phrasing into natural, fluent human writing that passes detection tools while keeping core meaning accurate.
Access all 5 detectors and humanization features programmatically via our single developer endpoint.
One tier unlocks all 5 tools for complete content verification.
Common questions about detection, Unicode, and humanization.
It highlights zero-width characters, invisible spaces, and Cyrillic lookalikes used by users trying to bypass AI content scanners or inject hidden system instructions.
It rephrases sentence structures, introduces natural human vocabulary variation, and balances perplexity to convert robotic AI text into natural reading prose.
Yes, it detects both visible logos/overlays and hidden algorithmic watermarks (such as SynthID or steganography patterns) embedded in pixel data.