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Document Tampering Detection

Detect manipulation and forgery.

What it does

Analyzes PDFs and images for signs of tampering — metadata inconsistencies, pixel-level manipulation artifacts, font integrity, digital-signature validity, text-layer edits, and compression artifacts — and returns a tampering-probability score with detailed findings. Complements AI Fraud Detection by focusing on physical and digital manipulation rather than content.

Input

A PDF or image file.

Output

A tampering report with a probability score and per-check findings.

Example use case

Verify that a scanned contract or claim photo has not been altered.

Plugs into

  • Compliance review
  • Forensic document examination
  • Insurance claims processing
  • Legal discovery

Formats

PDF, Image

Languages

EN, FR

Frequently asked questions

Where is Document Tampering Detection processed?+
Entirely on Nimble’s Canadian infrastructure under Canadian law — never connected to public AI APIs or foreign systems, with no CLOUD Act exposure.
Is it available in French?+
Yes. Nimble Intelligence operates in both English and French.
Can Document Tampering Detection be tailored to our documents?+
Yes. Models are custom-trained on your document types and rules, and the workflow can be adapted to your process. If you need a variation that isn’t listed, we build custom agentic workflows.

Want to try Document Tampering Detection?

Test it in our Canadian-hosted API sandbox with your own files.

Request sandbox access