Document OCR Scanner

What Is Document OCR?

Document OCR (Optical Character Recognition) is the technology that converts text from identity documents—such as passports, driver licenses, and national ID cards—into structured, machine-readable data. ID Analyzer's OCR engine uses advanced AI and deep learning to extract names, dates, document numbers, addresses, and other fields from over 10,000 document types across 190+ countries. Our multi-language OCR supports Latin, Chinese, Japanese, Korean, Arabic, Cyrillic, and many more scripts with industry-leading accuracy rates.

OCR Visual Data Scanning

The ID Analyzer ID Verification API leverages advanced computer vision technology and artificial intelligence to automatically scan and extract comprehensive data from identity documents worldwide. This includes critical information typically found on such documents, such as the document number, family names, given names, date of birth, issue date, expiry date, address, and gender, among others. Our state-of-the-art Optical Character Recognition (OCR) technology is designed to work efficiently even in the absence of Machine Readable Zones (MRZ) or barcodes, ensuring a seamless and accurate data capture process.

At ID Analyzer, we have meticulously compared our data extraction results with those of every other service available on the market, and we are proud to assure our clients that our product boasts the highest accuracy among competitors. Our cutting-edge technology sets us apart by successfully recognizing even defected documents that are out of focus, cropped, or have very low resolution—challenges that no other competitor can overcome. This exceptional level of precision ensures that our clients can rely on ID Analyzer for the most accurate and dependable data extraction services available.

We take pride in our multilingual OCR accuracy, which stands out in the industry. Our technology has been rigorously tested across various languages and document types, resulting in impressive statistical data:

• English — 99.8% accuracy in character recognition and data extraction.
• Chinese (Simplified and Traditional) — 98.5% accuracy, reliable performance even on one of the most challenging script systems.
• Spanish — 99.7% accuracy across Latin-based documents.
• Arabic — 99.2% accuracy on right-to-left scripts.
• Other Languages — over 99% accuracy maintained across more than 20 languages including Japanese, Korean, Cyrillic, Thai, and Hindi.

These statistics underscore our commitment to providing top-tier multilingual OCR capabilities, making ID Analyzer the go-to choice for clients seeking unparalleled accuracy in data extraction from global identity documents.

MRZ Scan

The Machine Readable Zone (MRZ) is a standardized area found on the biographical data page of all passports and on some identification cards. This zone contains encoded information that can be easily read and processed by machines. When an MRZ code is present on a document, ID Analyzer's APIs are specifically designed to automatically detect and capture all the data encoded within this code. This includes critical information such as the document holder's name, passport or ID number, nationality, date of birth, and document expiration date, among others. Our APIs ensure a swift and accurate extraction of this data, streamlining the identity verification process for our clients.

Barcode Scanner

A significant number of identity documents, particularly in North America, feature either 1D or 2D PDF417 barcodes. These barcodes are commonly found on the reverse side of various IDs and driver's licenses, adhering to the American Association of Motor Vehicle Administrators (AAMVA) standards. ID Analyzer is equipped with advanced scanning capabilities that enable it to efficiently read these barcodes and extract the personal data encoded within them. This data typically includes the individual's name, address, date of birth, and other relevant information, facilitating a streamlined and accurate identity verification process.

How Document OCR Works

1. Upload Document Image

Upload or capture an image of the identity document using a camera, scanner, or file upload through the API or DocuPass interface.

2. Document Identification

AI identifies the document type and country of origin by analyzing the layout, design patterns, and security features against our database of 10,000+ templates.

3. Text Extraction

The OCR engine extracts text from visual zones and Machine Readable Zones (MRZ), reading printed and handwritten characters across multiple languages and scripts.

4. Data Structuring

Extracted data is structured into standardized fields such as full name, date of birth, document number, expiry date, address, and nationality for easy integration.

5. Results Returned via API

Results are returned via API with field-level confidence scores, allowing your application to programmatically process and validate the extracted identity data.