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)
- Achieved a remarkable 98.5% accuracy, ensuring reliable performance in one of the most challenging script systems
- Spanish
- Demonstrated 99.7% accuracy, catering effectively to a wide range of Latin-based documents.
- Arabic
- Overcame the complexities of right-to-left script with an accuracy rate of 99.2%.
- Other Languages
- Consistently maintained an accuracy rate above 99% across over 20 languages, including but not limited to French, German, Russian, and Japanese.
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.
Frequently Asked Questions
Document OCR scanning is a technology that reads and extracts text data from identity documents such as passports, driver licenses, and ID cards using artificial intelligence and optical character recognition. It converts printed or handwritten text into structured, machine-readable data for automated processing.
ID Analyzer's OCR engine supports a wide range of languages and scripts including Latin, Chinese (Simplified and Traditional), Japanese, Korean, Arabic, Cyrillic, Thai, Hindi, and many more. Our multi-language OCR maintains over 99% accuracy across more than 20 languages.
ID Analyzer achieves over 98% accuracy for standard identity documents, with English documents reaching 99.8% accuracy. Machine Readable Zone (MRZ) extraction achieves near-100% accuracy due to the standardized format of MRZ codes.
The OCR engine can extract a comprehensive set of data fields including full name, date of birth, document number, expiry date, issue date, address, nationality, gender, Machine Readable Zone (MRZ) data, and barcode-encoded information from identity documents worldwide.
Yes, ID Analyzer fully supports ICAO 9303 Machine Readable Zones (MRZ) found on passports, travel documents, and national ID cards. The system automatically detects and decodes MRZ data including document number, name, nationality, date of birth, and expiration date with near-perfect accuracy.
Yes, ID Analyzer supports PDF417, QR codes, and other barcode formats commonly found on identity documents. This includes AAMVA-standard barcodes on North American driver licenses, which encode personal data such as name, address, date of birth, and license details.
Our Products
Versatile solutions catered for every platform and industry.
ID Verification API
Document data extraction and validation web API for 190+ countries worldwide
Prime ID Scanner
On-premise Identity verification software to scan and verify worldwide IDs