---
title: "Synthetic Printed USA Passports Dataset"
description: "High-quality synthetic passport dataset containing 9,600 AI-generated passport images designed for training OCR and computer vision models in identity verification and PII extraction. This USA…"
url: "https://unidata.pro/datasets/synthetic-printed-usa-passports-dataset/"
date_modified: "2026-02-16T22:38:43+03:00"
language: "en-US"
---
High-quality synthetic passport dataset containing 9,600 AI-generated passport images designed for training OCR and computer vision models in identity verification and PII extraction. This USA passport dataset includes varied angles, lighting conditions, backgrounds, and distances, with detailed metadata for accurate document analysis and model training.

## Dataset Structure

### The Numbers Section

**Numbered list:** - **Number:** 9 600 — **Text:** Images

### Tooltips Section

**Tooltip items:**

- **Name:** PII
- **Name:** Data generation
- **Name:** Security
- **Name:** Anti-spoofing
- **Name:** Computer Vision

### Dataset Information

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Description | Printed synthetic passport images for training ML models in PII extraction |
| Data types | Image |
| Tasks | OCR, Computer Vision |
| Total number of files | 9 600 |
| Number of files in a set | 96 (Angles - 3, Lighting - 4, Backgrounds - 4, Distances - 2) |
| Angles | 0°, 25°, 45° |
| Lighting | Natural-daylight, Office-LED, Warm-indoor, Dim-light |
| Backgrounds | Neutral wall, Textured desk, Outdoor pavement, Docs-on-docs |
| Distance | Close (80-90 % frame), Medium (50-60 %) |
| Labeling | Metadata (Passport ID, Sample ID, Class, Country, Gender, Age Group, Angle, Distance, Category, Resolution, Camera, Light Condition, Background, Timestamp) |
| Gender | Male, Female |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/08/synthetic-printed-usa-passports-dataset0a-primerfoto2-scaled.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/08/synthetic-printed-usa-passports-dataset0a-primerfoto1-scaled.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/1M6GG-IH-2Q-bO_3iSsTbPxk7ORoXaRuO?usp=sharing)

### Statistics - Charts

**Charts with Titles:** - **Shortcode:** [ays_chart id='38'] — **caption above the graph:** Distribution by gender

### Technical Specifications

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Image Extensions | HEIC |
| Data Type | generated |

**Source and data collection methodology:** Source and collection methodology: Data was AI-generated.

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Government & Security — **Title:** Enhanced Identity Verification Systems — **Text:** This dataset supports training identity verification and document analysis systems with high-quality synthetic passport images. By providing multiple angles, lighting conditions, and backgrounds, it enables models to accurately detect and verify USA passports and other identity documents, improving biometric authentication and reducing fraud risks in security-sensitive applications.
- **Industry:** Financial Services — **Title:** Automated KYC and Compliance Checks — **Text:** Banks and fintech platforms can leverage this synthetic passport dataset for Know Your Customer (KYC) verification processes. The dataset contains detailed metadata and synthetic ID images, allowing OCR and machine learning models to extract personal data and validate passport images, accelerating digital onboarding while ensuring regulatory compliance.
- **Industry:** AI & Machine Learning Research — **Title:** Training OCR and Document Recognition Models — **Text:** Researchers and AI developers can use this USA passport dataset to train deep learning models for document recognition and information extraction. The dataset includes variations in lighting, distance, and angle, providing diverse training data for improving image quality analysis, ID detection, and synthetic generation model performance.
- **Industry:** Travel & Border Control Technology — **Title:** Simulating Verification for Immigration Systems — **Text:** The dataset enables testing and evaluation of automated passport verification systems for airports and border checkpoints. With synthetic passport images reflecting multiple lighting and environmental conditions, developers can simulate realistic ID document scans, improving verification accuracy, training detection algorithms, and enhancing border security efficiency.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What should I consider before buying this dataset? — **Answer:** Before purchasing Synthetic Printed USA Passports Dataset, consider its format, labeling, and use cases. The dataset contains high-quality synthetic passport images designed for OCR, identity verification, and document analysis. Ensure it aligns with your machine learning or computer vision training requirements.
- **Question:** Can I request a sample of the dataset before purchasing or downloading it? — **Answer:** Yes. Unidata provides free sample images so you can assess image quality, metadata consistency, and angle/lighting variations. These samples help determine whether the dataset meets your training and testing objectives for synthetic ID detection or OCR models.
- **Question:** Is this a real-world dataset or synthetic data? — **Answer:** This dataset is entirely synthetic, created with AI generation techniques. It simulates realistic USA passport images without using actual personal data.
- **Question:** How long does it take to receive the dataset? — **Answer:** After submitting a request, Unidata reviews your details, finalizes documents, and processes payment. The full dataset is delivered within 3–10 business days, depending on licensing and customization options.
- **Question:** Is this dataset unique? — **Answer:** Yes. This dataset contains unique, AI-generated synthetic images specifically designed for machine learning and document verification. The variety of angles, lighting, and backgrounds ensures non-redundant training data for OCR and identity verification models.
- **Question:** How does this synthetic USA passport dataset improve OCR accuracy? — **Answer:** The dataset exposes OCR models to passport images captured under different viewing angles, lighting conditions, backgrounds, and camera distances. This variability helps document recognition systems extract printed text and PII more reliably in real-world identity verification workflows.
- **Question:** Can this dataset be used to train identity verification systems? — **Answer:** Yes. The synthetic USA passport dataset is designed for AI models used in identity verification, document analysis, OCR, and automated onboarding. It helps improve document parsing and information extraction without relying on real personal documents.
- **Question:** How are Unidata datasets stored? — **Answer:** Datasets are stored securely on AWS cloud infrastructure, offering high availability, scalability, and data protection. Storage practices comply with ISO 27001 and ISO 27701, guaranteeing secure and privacy-focused handling of synthetic passport images.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model. Free samples are available for testing, while the full dataset is accessible through purchase, providing full access to all files and metadata for professional use.

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