Readable PDF text
Analyzes extractable writing without keeping the original document in result history.
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DeepfakePolicy extracts readable text from the PDF, samples long documents across their pages and shows how much material was analyzed. This AI checker for PDF files returns a writing-pattern signal, not proof of authorship.
Analyzes extractable writing without keeping the original document in result history.
Reports page count, analyzed characters and whether sampling was required.
Notes available authoring metadata and embedded-image count separately from the text score.
The result estimates statistical writing patterns in extractable text. It cannot determine whether an author used a grammar tool, translated the document or edited generated material heavily.
Important limitation: Image-only scans require OCR and may contain too little extractable text. Short, formulaic, translated and highly technical documents can produce misleading results.
Read the full methodologyTriage a report before checking its sources, calculations and citations.
Locate documents that deserve a closer process or disclosure conversation.
Add a writing signal while performing broader due diligence.
Upload the PDF so the detector can extract and sample its readable text. Review the AI-generated and AI-assisted writing signals together with the reported page coverage, then check drafts, sources and the authoring process.
No. It estimates writing patterns in extractable text and can be affected by translation, editing, technical language and short samples. It cannot prove authorship or identify a particular AI tool.