Docutain Data Capture SDK

All scanning, OCR, and data extraction functions execute directly on the device, guaranteeing that no sensitive data is ever transferred to external servers or third parties.

Utilizes years of trained OCR and data extraction models to achieve very high recognition rates and precision, even with suboptimal lighting or difficult document conditions.

Available as a Software Development Kit (SDK) for a broad range of platforms including native Android, iOS, and Windows, as well as cross-platform frameworks like .NET MAUI, Flutter, Xamarin, React Native, Ionic, and Cordova.

Features real-time edge detection, automatic triggering for optimal captures, and intelligent image processing (filters, perspective correction, straightening) to produce high-quality digital scans.

Converts scanned images of documents into machine-readable text, enabling the extraction of plain text content.

Intelligently extracts specific, structured data fields (like addresses, amounts, IBANs, invoice numbers, dates, payment purposes) from various document types such as invoices, ID cards, business cards, and wage tax certificates.

Embeds the recognized OCR text into the generated PDF documents, making them fully searchable and selectable.

Integrates a high-precision and high-speed barcode scanner that can recognize most standard 1D and 2D barcode formats directly via the device's camera.

A specialized module for banking apps that allows users to scan invoices and automatically extract relevant payment information (IBAN, amount, recipient, purpose) to pre-fill payment forms.

Provides ready-to-use UI components for the scanner and data capture process, with options to customize colors and icons to match the aesthetic of the integrating application.

Offers simple and powerful APIs designed for quick and easy integration with minimal lines of code, aiming to reduce development time.

Comes with mature documentation, sample projects (e.g., on GitHub), and professional customer support to assist developers during integration and usage.

Extracted data can be returned in commonly used structured formats such as JSON, XML, or ZUGFeRD, facilitating seamless integration with backend systems.

Enables the extracted data to be used for automating processes like pre-filling forms, thereby increasing efficiency and reducing manual data entry errors.

Adheres to strict data security and privacy standards, being SOC 2 Type II certified, HIPAA compliant (with BAA available), and GDPR ready due to its offline architecture.

Allows exporting scanned pages as individual image files (e.g., JPG, TIFF) in addition to PDF creation.

Supports scanning multiple pages consecutively within a single session for increased efficiency.