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[ { "pass_num": "IM4844990", "pass_num_print": "IM4844990", "pass_num_split": "I M 4 8 4 4 9 9 0", "name_en": "OMAR AL MANSOORI", "name_ar": "عمر المنصوري", "surname": "AL MANSOORI", "given_name": "OMAR", "signature": "Omar Al Mansoori", "date_of_birth": "04/12/1986", "date_of_...
[ { "pass_num": "QX7880785", "pass_num_print": "QX7880785", "pass_num_split": "Q X 7 8 8 0 7 8 5", "name_en": "ALYA AL SHAMSI", "name_ar": "عليا الشمسي", "surname": "AL SHAMSI", "given_name": "ALYA", "signature": "Alya Al Shamsi", "date_of_birth": "15/12/1983", "date_of_issue":...

Disclaimer: All passport images and associated data in this dataset are synthetically generated and do not correspond to real individuals. Any names, numbers, or personal details are fictional and used solely for research and development purposes.

Introduction - UAE

The Synthetic UAE Passports Dataset assembles more than 1,000 AI-generated passport images built for training OCR and computer vision models on identity documents. Each record is fully synthetic, so the dataset carries no real personal information or biometric data — a privacy-compliant base for developing identity verification, KYC, and fraud-detection pipelines. - Get the data

The dataset can be expanded on request — additional images and metadata can be tailored to your specifications, typically within one week.

Images are produced on either a plain white background or a range of realistic settings — desks, walls, and other everyday surfaces — helping models generalise more dependably to production conditions.

Coverage spans 50+ countries (including Saudi Arabia, Qatar, Oman, Bahrain, Kuwait, and more). Submit a request via the website to learn more.

Each image is paired with detailed structured metadata covering the document's personal fields — passport number, full name, signature, date of birth, sex, place of birth, issuing authority, nationality, document type, and the machine-readable zone (MRZ) — alongside technical attributes such as resolution and category.


Dataset general info

Characteristic Data
Description Synthetic passport images with detailed metadata for ML model training in PII extraction
Data types Image + structured metadata
Tasks OCR, Computer Vision
Total number of files 1000+ (scalable on request)
Labeling Passport Number, Passport Number (split), Surname, Given Name, Signature, Date of Birth, Date of Issue, Date of Expiry, Sex, Place of Birth, Issuing Authority, Nationality, Nationality Code, Document Type, MRZ
Gender Male, Female
Backgrounds White and varied (desk, wall, and other surfaces)
Countries 50+ available (Saudi Arabia, Qatar, Oman, Bahrain, Kuwait, and more — on request)
Image format JPG
Data generation AI-generated
Source of images AI-generated

The dataset comprises 1,000+ synthetic passport images, each tied to a complete identity-style record and structured annotations. Additional samples can be produced on request within one week, and the imagery covers both clean white scenes and varied background environments.

Metadata fields include:

Field Example
Passport number A12345678
Passport number (split) A 1 2 3 4 5 6 7 8
Surname and given name AL MANSOURI MOHAMMED
Signature Mohammed Al Mansouri
Date of birth 15 MAY 1985
Date of issue 10 JAN 2023
Date of expiry 09 JAN 2033
Sex M
Place of birth ABU DHABI
Issuing authority ICA
Nationality UNITED ARAB EMIRATES
Nationality code ARE
Document type P
Machine-readable zone (MRZ) P<AREALMANSOURI<<MOHAMMED<<<<<<<<<<<<<<<<<<<A12345678<8ARE8505159M3301094<<<<<<<<<<<<<<00

Use cases - UAE

Training document verification systems

Banks, fintech firms, and border-control units can draw on this dataset to teach models how to verify identity documents across a wide range of real-world conditions. Structured metadata supports accurate field extraction and validation, while the diversity of backgrounds reinforces robustness once models reach production.

Building fraud detection pipelines

Compliance and security teams can rely on these synthetic samples to put together high-quality training corpora without using real travel documents. Full passport field coverage and complete MRZ strings make it straightforward to model and stress-test both standard records and edge-case anomalies.


FAQ

Is this real-world or synthetic data?

All images are AI-generated and contain no biometric data or personal information tied to real individuals.

Can I request a custom dataset size?

Yes — the dataset is scalable, and additional samples can be generated based on your requirements within one week.

Can I request country-specific data?

Yes — support for 50+ countries is available. Please submit a request to get detailed coverage and samples.

Can I request a sample before purchasing?

Yes — free samples are available so you can evaluate image quality, metadata structure, and variation coverage before committing.

How is the dataset delivered?

After purchase, the dataset is delivered via secure AWS cloud infrastructure compliant with ISO 27001 and ISO 27701.

🌐 UniData - your trusted data partner. Unique, accurate, thoroughly collected and annotated data designed to fuel your AI/ML success.

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