Data Capture
Automated data extraction from identity documents using MRZ and barcode reading technology.
Instant Document Data Extraction
Transform physical identity documents into structured digital data in milliseconds. Our Data Capture engine uses multi-zone reading technology to extract information from MRZ codes, barcodes, and visual text fields simultaneously.
- Sub-second extraction from all common ID document types
- Supports MRZ, PDF417, QR codes, and visual text fields
- Works offline on mobile devices — no internet required
- Auto-fills onboarding forms with extracted data
- Pre-built SDKs for iOS, Android, and web
Vse, kar potrebujete
Zmogljive funkcije, zasnovane za korporativno zmogljivost in skladnost
Instant Extraction
Read and parse document data in under 1 second using multi-zone technology. MRZ, barcode, and OCR are processed simultaneously for maximum speed.
MRZ Reading
Extract structured data from machine-readable zones on passports and ID cards. Supports ICAO 9303 compliant documents from over 200 countries.
OCR Technology
Advanced optical character recognition reads all visible text fields accurately. Multi-language support ensures reliable extraction regardless of document origin.
Auto-fill Forms
Populate registration and onboarding forms automatically with extracted data. Eliminate manual data entry and reduce error rates by up to 95%.
Offline Mode
Full extraction capabilities without internet connection using on-device processing. Ideal for field operations and areas with limited connectivity.
Multi-format
Support for ID cards, passports, driver licenses, and residence permits. Handles over 5,000 document types from more than 200 countries worldwide.
Primeri uporabe
Poglejte, kako podjetja uporabljajo Data Capture v produkciji
Digital Customer Onboarding
Accelerate account opening by automatically extracting customer data from identity documents during registration.
In-Branch Identity Intake
Streamline in-person customer visits by scanning documents at the counter instead of manual copying.
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Zaprosite demo
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