Introduction
The Document Data Extractor is a powerful feature of the Scanbot SDK, designed to detect, read, and extract data from various types of documents. This functionality allows your application to quickly and securely capture document details, including structured fields such as names, dates, and identification numbers.
By utilizing advanced detection and recognition algorithms, the Document Data Extractor ensures accurate data extraction even under challenging conditions, such as poor lighting, tilted documents, or complex backgrounds. The extracted data is provided in a structured format, enabling seamless integration into workflows for verification, processing, or storage.
The Document Data Extractor supports a wide range of document types, including:
SBSDKDocumentsModelDeIdCardFront
- German ID card front sideSBSDKDocumentsModelDeIdCardBack
- German ID card back sideSBSDKDocumentsModelDePassport
- German passportSBSDKDocumentsModelDeDriverLicenseFront
- German driver's license front sideSBSDKDocumentsModelDeDriverLicenseBack
- German driver's license back sideSBSDKDocumentsModelDeResidencePermitFront
- German residence permit front sideSBSDKDocumentsModelDeResidencePermitBack
- German residence permit back sideSBSDKDocumentsModelDeHealthInsuranceCardFront
- German health insurance card front sideSBSDKDocumentsModelEuropeanHealthInsuranceCard
- European health insurance card
The Scanbot SDK also provides extensive customization options, allowing developers to tailor the extraction process to specific requirements. This includes the ability to exclude certain fields for privacy or security purposes, as well as wrapping extracted data into type-specific document wrappers for easier handling.
Document Data Extraction is widely used across industries such as finance, healthcare, and government, where automated and reliable data capture enhances efficiency, reduces manual errors, and improves user experience.
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