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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
The Synthetic Turkey Passports Dataset offers more than 1,000 AI-generated passport images, designed to support the training of OCR and computer vision models on identity documents. Because every record is fully synthetic — with no real personal information or biometric data involved — the dataset gives teams a privacy-compliant resource for building identity verification and fraud detection capabilities. - Get the data
The collection is fully extensible: more images and metadata can be produced to match your specifications, with new batches typically delivered within a week.
The image set blends clean white backdrops with a wide spread of realistic surroundings — desks, walls, and other everyday surfaces — improving how well models adapt to varied real-world inputs.
Coverage extends to 50+ countries (including Greece, Bulgaria, Cyprus, Romania, UAE, and more). To find out more, please send a request through the website
to learn more.
Each image is paired with rich, structured metadata that captures personal document fields — passport number, full name, signature, date of birth, sex, place of birth, issuing authority, nationality, document type, and 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 (Greece, Bulgaria, Cyprus, Romania, UAE, and more — on request) |
| Image format | JPG |
| Data generation | AI-generated |
| Source of images | AI-generated |
The dataset consists of 1000+ synthetic passport images, each associated with complete identity-like records and structured annotations. Additional data can be generated upon request within one week. The images cover both clean white and diverse background scenarios.
Metadata fields include:
| Field | Example |
|---|---|
| Passport number | W80301969 |
| Passport number (split) | W 8 0 3 0 1 9 6 9 |
| Surname and given name | YILMAZ YUSUF |
| Signature | Y. Yilmaz |
| Date of birth | 02 AGU/AUG 1983 |
| Date of issue | 03 EKI/OCT 2016 |
| Date of expiry | 03 EKI/OCT 2026 |
| Sex | K/M |
| Place of birth | DİYARBAKIR |
| Issuing authority | SAMSUN |
| Nationality | TURKEY |
| Nationality code | TUR |
| Document type | P |
| Machine-readable zone (MRZ) | P<TURYILMAZ<<YUSUF<<<<<<<<<<<<<<<<<<<<<<<<<< |
Use cases
Training document verification systems
Banks, fintech operators, and border control agencies can use this dataset to teach models to validate identity documents across a broad range of real-world conditions. The structured metadata supports precise field extraction and validation, while the diverse backgrounds make the resulting models more robust in production.
Building fraud detection pipelines
Compliance and security teams can use these synthetic samples to assemble realistic training data without depending on genuine documents. With every passport field — including MRZ strings — fully populated, both legitimate records and suspicious anomalies can be modelled to power thorough fraud-detection logic.
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.
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