DocVerify

DocVerify provides an API that analyses digital documents to detect signs of forgery or manipulation before they are accepted by downstream systems. It examines receipts, PDFs, bank statements, IDs, invoices and similar files, looking for inconsistencies such as abnormal anti‑aliasing, altered pixel values, or unexpected compression artifacts. The service runs a series of forensic models—error level analysis, dimensional proof, and other pixel‑level checks—to generate a credibility assessment for each submitted file.

The tool is aimed at developers and AI agents that ingest document images or PDFs, allowing them to verify authenticity automatically rather than relying solely on OCR‑extracted text. By exposing a command‑line interface and an HTTP endpoint, DocVerify can be integrated into existing pipelines that process financial, employment or identity documents.

What distinguishes the offering is its focus on low‑level visual evidence, using raster‑grid inspection and compression baselines to flag tampered regions that may appear normal to standard text parsers. The current version is experimental and intended for early adopters building fraud‑detection capabilities.