AI-powered forensic analysis of every document in your verification workflow — identity documents, academic certificates, employment records, and financial documents — detecting tampering invisible to the naked eye.
Aadhaar, PAN, passport, voter ID, driving licence
Degree certificates, mark sheets, transcripts, migration certificates
Offer letters, relieving letters, experience certificates, payslips
Bank statements, Form 16, ITR, salary certificates
Utility bills, rental agreements, NOC letters
GST certificates, incorporation documents, trade licences
Pixel-level analysis detects font inconsistencies caused by adding/replacing text — invisible to the human eye but a clear signal to AI trained on millions of authentic documents.
Digital document metadata (creation date, modification date, software used, GPS coordinates if applicable) is extracted and analysed for signs of post-creation editing.
Every authentic document follows a fixed layout template. AI compares submitted documents against authenticated templates to detect layout drift caused by copying and editing.
Official seals, watermarks, and holograms are analysed at the vector level to detect digital recreations of physical security features.
Scanned documents with altered sections show colour space irregularities invisible to the eye but detectable through AI spectral analysis.
Name, DOB, photo, and address are cross-compared across all documents submitted by the same candidate. Inconsistencies indicate document set forgery or identity fraud.