Vera X-Ray

What Vera X-Ray recognises

The labels Vera X-Ray’s model is trained and calibrated on, and the further categories its rules recognise. Vera looks for these automatically; every finding is a proposal that you review before you approve.

Model labels (54)

The optional recognition model is trained and calibrated on these 54 labels in four groups. Two models share the groups: one runs the first two groups, the other the last two. Dutch and English.

Identity, contact, identifiers and dates (22)

Label	Code
Name	`PERSON_NAME`
Organisation	`COMPANY_NAME`
City	`CITY`
Address	`FULL_ADDRESS`
Date of birth	`DATE_OF_BIRTH`
Phone number	`PHONE_NUMBER`
Email address	`EMAIL_ADDRESS`
Diagnosis	`DIAGNOSIS`
Medication	`MEDICATION`
Case number	`LEGAL_CASE_NUMBER`
Date	`DATE`
Amount	`MONEY_AMOUNT`
Reference	`REFERENCE_NUMBER`
Student number	`STUDENT_ID`
Employee number	`EMPLOYEE_ID`
Membership number	`MEMBERSHIP_ID`
Professional registration	`PROFESSIONAL_REGISTRATION`
National ID	`NATIONAL_ID`
Patient number	`PATIENT_ID`
Family relation	`FAMILY_RELATION`
Country	`COUNTRY`
Age	`AGE`

Health (11)

Label	Code
Symptom	`SYMPTOM`
Medical finding	`MEDICAL_FINDING`
Lab result	`LAB_RESULT`
Assessment score	`ASSESSMENT_SCORE`
Medical history	`MEDICAL_HISTORY`
Mental health	`MENTAL_HEALTH`
Pregnancy	`PREGNANCY`
Disability	`DISABILITY`
Allergy	`ALLERGY`
Genetic data	`GENETIC_DATA`
Biometric data	`BIOMETRIC_DATA`

Beliefs and personal life (9)

Label	Code
Religion or belief	`RELIGIOUS_BELIEF`
Philosophical belief	`PHILOSOPHICAL_BELIEF`
Race or ethnicity	`RACE_ETHNICITY`
Sexual orientation	`SEXUAL_ORIENTATION`
Sex life	`SEX_LIFE`
Trade union membership	`TRADE_UNION_MEMBERSHIP`
Political opinion	`POLITICAL_OPINION`
Criminal record	`CRIMINAL_DATA`
Allegation	`ALLEGATION`

Abuse and vulnerability (12)

Label	Code
Physical abuse	`PHYSICAL_ABUSE`
Sexual abuse	`SEXUAL_ABUSE`
Psychological abuse	`PSYCHOLOGICAL_ABUSE`
Financial abuse	`FINANCIAL_ABUSE`
Domestic violence	`DOMESTIC_VIOLENCE`
Stalking	`STALKING`
Alleged perpetrator	`ALLEGED_PERPETRATOR`
Safe location	`SAFE_LOCATION`
Safeguarding plan	`SAFEGUARDING_PLAN`
Suicide or self-harm	`SUICIDE_SELF_HARM`
Quote of a client or child	`PATIENT_QUOTE`
Information about a minor	`MINOR_INFORMATION`

Further categories recognised by rules (29)

Fixed forms and checkable numbers are recognised by deterministic rules, alone or together with the model’s more general labels. A model can add to the rules but never suppress them.

Label	Code
Nickname or alias	`ALIAS`
API key	`API_KEY`
Bank account	`BANK_ACCOUNT`
BIC/SWIFT	`BIC_SWIFT`
Citizen service number	`BSN`
Cadastral parcel	`CADASTRAL_PARCEL`
Certificate number	`CERTIFICATE_NUMBER`
Claim number	`CLAIM_NUMBER`
Company registration	`COMPANY_REGISTRATION`
Customer number	`CUSTOMER_ID`
Debt	`DEBT`
Flight number	`FLIGHT_NUMBER`
IBAN	`IBAN`
Income	`INCOME`
Initials	`INITIALS`
IP address	`IP_ADDRESS`
MAC address	`MAC_ADDRESS`
Passport number	`PASSPORT_NUMBER`
Password	`PASSWORD`
Payment card	`PAYMENT_CARD_PAN`
PIN	`PIN_CODE`
Booking reference	`PNR_BOOKING_REFERENCE`
Policy number	`POLICY_NUMBER`
Postcode	`POSTAL_CODE`
Social media handle	`SOCIAL_HANDLE`
Tax number	`TAX_ID`
Username	`USERNAME`
Vehicle registration	`VEHICLE_REGISTRATION`
VIN	`VIN`

What this does not promise

Every finding is a proposal. Check the whole text yourself before you approve: a kind of information can be missed.
Recognition differs per label and per language. Some labels score lower than others, English lower than Dutch in several; the results were measured on synthetic documents and real documents will score lower.
Indirectly identifying combinations of ordinary facts can remain.

How Vera X-Ray handles your documents is on the Vera X-Ray page; what has and has not been shown is in the trust centre.

Last updated: 23 October 2026. Vera X-Ray version 1.0.28.