Detect tampered and deepfake Ukraine ID Card

What a genuine Ukrainian ID card contains

The card prints surname and given names in Ukrainian and Latin, patronymic in Cyrillic, sex, date of birth, nationality, place of birth, a nine-digit document number, a record number, issue and expiry dates, issuing authority, signature, and photo. The record number is fourteen characters beginning with the birth date, followed by a four-digit serial and a control digit. The back carries a three-line TD1 MRZ of thirty characters per line.

Latin names follow the 2010 national transliteration, so they can differ from older passports, the patronymic is not in the MRZ, and the term is four or ten years from issue. Diia screens and physical cards coexist, and a screenshot of the app is not the card itself. The older paper booklet and the foreign travel passport are separate documents.

How Ukrainian ID card forgeries are made

• MRZ check digits

  The machine readable zone carries ICAO 9303 check digits for the document number, birth date, expiry, and a composite. A failure means the zone was typed or edited after generation.

• MRZ against printed fields

  The MRZ repeats name, birth date and expiry, and each has to agree with the printed face. If only one side disagrees, the other was edited.

• Record number and birth date

  The record number opens with the holder's birth date. A date block that differs from the printed date of birth contradicts the card's own data.

• Term and number length

  The document number has nine digits and the term is four or ten years from issue. A different length or a term that does not fit breaks the issuing rules.

• Photo and text patching

  A pasted portrait or retyped name or date leaves resampling steps and font differences that outline the edited region.

What TamperCheck checks on an Ukrainian ID card

TamperCheck runs 200+ forensic checks across three layers and returns a risk score from 0 to 100 with plain-English findings tied to specific regions of the document. These three carry the most weight on this document class.

• Machine-readable zone validation

  Check digits across every MRZ field are recomputed, and the encoded name, number, and dates are compared against the values printed on the face of the document. Forgers routinely update one and forget the other.

• Portrait substitution and face-swap analysis

  The document is isolated from whatever it was photographed on, then the portrait region is assessed against the card surface around it. A pasted or generated face rarely matches the substrate it was placed onto.

• Date and validity consistency

  Issue, expiry, and period dates are checked against one another and against the file's own creation metadata, which catches backdating and validity extension.

• And many more checks

  The three above are the layers that carry the most weight on an Ukrainian ID card. Every upload runs the full suite of 200+ checks regardless of document class, spanning file structure and metadata, pixel-level forensics, font and text rendering, optical and print characteristics, provenance signals, AI-generation signatures, and many more checks.

Who verifies an Ukrainian ID card, and why

Banks, employers, and aid and onboarding teams. In each case the document is being used to unlock money, access, or a legal status, which is exactly what makes it worth forging.

How to verify an Ukrainian ID card in 4 steps

1. 1

   Photograph every face

   Capture the front and the back flat at full resolution, so the MRZ characters and the record number survive close analysis.

2. 2

   Validate the MRZ

   Recompute the ICAO check digits for document number, birth date, expiry, and the composite, and compare the zone with the printed fields.

3. 3

   Cross-check the record number

   Compare the date block of the record number with the printed birth date, and the expiry with the four or ten year term.

4. 4

   Run a forensic check on the file

   The MRZ carries the structural evidence and the print carries the edit history. TamperCheck runs 200+ forensic checks, including MRZ check-digit validation and patch detection, and returns a risk score from 0 to 100 with findings tied to regions of the image.

Frequently asked questions