---
title: "Synthetic USA Driver License Dataset"
description: "Features high-quality, AI-generated images of U.S. driver licenses from multiple states, including California, Texas, and New York. Designed for OCR, data extraction, and identity verification…"
url: "https://unidata.pro/datasets/synthetic-usa-driver-license/"
date_modified: "2026-02-16T22:39:57+03:00"
language: "en-US"
---
Features high-quality, AI-generated images of U.S. driver licenses from multiple states, including California, Texas, and New York. Designed for OCR, data extraction, and identity verification model training, this synthetic ID dataset ensures realistic detail, balanced demographics, and secure handling of personally identifiable information.

## Dataset Structure

### The Numbers Section

**Numbered list:** - **Number:** 5 000 — **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 driver license images for training ML models in PII extraction |
| Data types | Image |
| Tasks | OCR, Computer Vision |
| Total number of files | 5 000 |
| Number of files in a set | 96 (Angles - 3, Lighting - 4, Backgrounds - 4, Distances - 2) |
| States | California, Florida, New York, Pennsylvania, Texas |
| 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 (License ID, Sample ID, Class, Gender, Age Group, Angle, Distance, Category, Resolution, Camera, Light Condition, Background, Timestamp) |
| Gender | Male, Female |

**Media Slider:**

- **Image in the slider:** ![USA driver license dataset](https://unidata.pro/wp-content/uploads/2025/10/driver-license-dataset-scaled-e1760097287735.webp)
- **Image in the slider:** ![USA driver license dataset](https://unidata.pro/wp-content/uploads/2025/10/driver-license-dataset3-scaled-e1760097346291.webp)

**Link to the sample:** [Download sample](https://drive.google.com/drive/folders/171HXMEilrgA9WgVuqWETu4gNtCg5pDD-)

### Technical Specifications

**Table with data:**

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

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

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Financial Services — **Title:** Identity Verification for KYC Systems — **Text:** Synthetic USA Driver License Dataset provides realistic driver license images from multiple U.S. states to enhance Know Your Customer (KYC) and anti-fraud systems. Financial institutions can train OCR and verification models to accurately extract license numbers, names, and dates while maintaining full data security through synthetic generation.
- **Industry:** Government & Transportation — **Title:** Automated License Processing and Record Management — **Text:** This dataset supports agencies and vehicle registration services in automating document verification and data extraction. Models trained on these synthetic driver license images can recognize document layouts, validate identification details, and improve accuracy in digital licensing systems without using personal information.
- **Industry:** Technology & AI Development — **Title:** Training OCR and Data Extraction Models — **Text:** AI developers use this dataset to build and test machine learning algorithms for text extraction and identification. The variation in lighting, angles, and backgrounds helps train OCR systems to read license data accurately under real-world conditions, improving document scanning and mobile verification apps.
- **Industry:** E-commerce & Digital Services — **Title:** Age and Identity Verification for Online Platforms — **Text:** Online marketplaces and digital service providers use synthetic driver license datasets to develop and test age verification tools. The data supports building reliable, privacy-safe systems for verifying users’ identities, ensuring compliance with regulations while enhancing user trust and onboarding security.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What types of annotations are provided? — **Answer:** Each image includes metadata fields such as License ID, Gender, Class, Age Group, Angle, Distance, and Lighting Condition. These detailed annotations improve model performance for OCR, text recognition, and data extraction tasks involving driver license imagery.
- **Question:** Can I request a sample of the dataset before purchasing? — **Answer:** Yes. Unidata provides free dataset samples for evaluation and testing purposes. These samples allow developers to assess data quality, structure, and labeling consistency before purchasing a dataset.
- **Question:** How are Unidata datasets licensed? — **Answer:** Unidata datasets follow a dual-licensing model. Free samples are available for preliminary testing, while full versions of our datasets are sold for commercial and research use, ensuring both accessibility and responsible data management.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. Unidata datasets comply with GDPR and international data protection laws. Since this dataset is synthetic, it contains no real personal data and adheres to ethical standards for privacy and data safety.
- **Question:** How are Unidata datasets stored? — **Answer:** All datasets are securely stored on AWS cloud servers to ensure high availability and compliance with ISO 27001 and ISO 27701 standards. This guarantees data integrity, scalability, and secure access for customers handling sensitive AI training material.
- **Question:** How long does it take to receive the dataset? — **Answer:** After submitting a purchase request, our team confirms details and provides documentation for approval. Once payment and agreement are complete, the dataset is delivered securely within 3–10 business days.
- **Question:** Is this a real-world dataset or synthetic data? — **Answer:** This is a synthetic dataset created to replicate real driver licenses while maintaining full data privacy. It enables safe model training for identity recognition, document verification, and text extraction without using sensitive or personal information.
- **Question:** Why use synthetic driver license images instead of real identity documents? — **Answer:** Synthetic driver license datasets eliminate privacy risks while preserving the visual complexity needed for AI training. Because no real personal data is included, organizations can develop and validate OCR, document understanding, and identity verification systems using legally safer training data with consistent annotations and balanced scenarios.

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