OCR for Structured Documents
Extract text with 95%+ accuracy from global ID cards and official documents, capturing key fields automatically.
OCR for Unstructured Documents
Extract data from unstructured documents and diverse templates like insurance forms, invoices, and bank statements.
Seamless Multilingual Document Processing
Break language barriers and process hundreds of global documents in 150+ languages.
AI-powered Optical Character Recognition
Leverage a 13-year-trained AI model for OCR with exceptional accuracy and reliability from day 1.
Seamless Document Import
Easily upload various document formats such as PDFs or images.
Intelligent Document Processing
Capture the information you need from the scanned documents.
Structured Data Classification
Represent extracted data dump into ready-to-use structured and appropriate fields.
Government ID cards
Driving license
Passports
Bank checks
Payroll slips
Entity registration
Proof of delivery
Bank statements
Purchase order
Tax documents
Property documents
Utility bills
Legal contracts
Bill of lading
Insurance documents
Encrypt user details to prevent data breach
Stay compliant with global regulations
Maintain audit trail of every application
#1 in Global Face
Recognition in US & APAC
AICPA | SOC2
General Data
Protection Regulation
ISO 27018
Financial Action
Task Force
Best-in-class
Regtech solution 2022
Best in Liveness
Unleash enhanced efficiency and slash turnaround times. Automate manual processes and accelerate your journey to go-live sooner than ever.
Want to extract data from a new document format? HyperVerge OCR can adapt a new document type within a week with a very small sample size — all while maintaining high accuracy.
Go global swiftly with a template-agnostic OCR and ID verification engine. Navigate diverse markets and make your expansion efficient.
What is an OCR software?
Optical Character Recognition (OCR), software is a technology that converts different types of documents, such as scanned paper documents, PDFs, or images, into editable and searchable data. It extracts text from these files, making it accessible and useful in various applications.
What is the difference between OCR and ICR?
OCR focuses on converting printed or typewritten text from documents in multiple languages into machine-readable text, while ICR, or Intelligent Character Recognition, goes a step further by recognizing and processing handwritten characters. Both technologies play vital roles in digitizing and extracting information from diverse sources.
What is the data extraction process from scanned documents and images?
Optical Character Recognition software scans content from multiple file formats, recognizes characters, and converts them into editable formats. This process facilitates efficient handling of information from paper documents, aiding tasks such as data entry, content digitization, and document organization.
How does OCR help identity verification?
OCR solutions capture data and text from identity documents, enabling automated identity proofing and KYC (Know Your Customer) compliance. Through identity verification checks, OCR helps verify customer identities, ensuring real identity validation. This is crucial in anti-money laundering and fraud prevention efforts, as it enhances the accuracy and efficiency of the verification process for both digital and paper documents.