OCR - Text Recognition
What is OCR?
OCR (Optical Character Recognition) is a text recognition technology developed in the 1960s for reading text from images and paper documents. It uses artificial intelligence to convert scanned documents into editable digital text.
Advantages of OCR in Business Process Automation
Why is OCR text recognition technology revolutionizing document processing? Key business benefits in 2025.
Drawbacks of OCR – Technology Limitations
The real limitations of OCR technology and ways to minimize issues in automation projects.
Business Use Cases of OCR
The main applications of text recognition technology in 2025, with examples from major enterprises and our own projects.
Document Archive Digitization
Converting paper archives into searchable digital documents
National libraries, state archives, medical record systems
Invoice Processing Automation
Automatically extracting invoice data into accounting systems
AP automation systems, multi-branch accounting, shared service centers
License Plate Recognition
Automatically recognizing license plate numbers from cameras
Parking systems, access control, traffic monitoring
Data Entry Automation
Eliminating manual data transcription from forms and documents
Loan applications, insurance forms, customer surveys
OCR Projects – SoftwareLogic.co
Our OCR systems in production – automation of documents, invoices, and forms.
Desktop application with AI features
Users were losing time on manual categorization of activities and projects
We created an Electron application with AI that automatically recognizes activities and categorizes projects
Automatic categorization of 90% activities, 60% less time on administration
ERP system with electronic document workflow
Small and medium companies needed an affordable ERP system
We built a comprehensive ERP with electronic document workflow
Accounting process automation, integration with external systems
FAQ: OCR – Frequently Asked Questions
Comprehensive answers to questions about OCR text recognition technology.