OCR-Based Insurance Data System
Automated multilingual OCR system for insurance applications with enhanced accuracy and local support.
Client
Hammock
Industry
Technology
Timeline
15 months
Country
Japan
Client Background
Automated multilingual OCR system for insurance applications with enhanced accuracy and local support.
Challenge
Manual data entry for insurance applications was slow and error-prone. The system required efficient multilingual OCR capabilities, especially for processing Chinese documents, along with improved data handling and localization for markets like Taiwan.
Our Solutions
Kaopiz developed a multilingual OCR solution optimized for insurance form formats. The system automates data recognition and classification, significantly reducing operational effort and improving data accuracy. We introduced specialized functions for the Taiwan market and provided tools to support release management and system operations.
2/3
OCR 5
OCR 2
OCR 3
OCR 6
OCR 4
Core Technologies
Frontend
HTML/CSS, JavaScript, VueJS, ReactJS
Backend
PHP
Cloud/Infra
AWS, On-premises, Others
Devices
PC, iPhone, Android smartphones
Testing
Manual testing
Features of the App
Multilingual OCR
Automatically digitizes forms in multiple languages including Chinese
Data Classification
Systematically organizes application data
Localization Support
Tailored functions for Taiwan operations
Release Management
Tools to support smooth version deployments
Error Reduction
High-accuracy data entry reduces manual mistakes
Operational Efficiency
Minimizes work time and system overhead
Business Values
Increased Efficiency
Real-time asset monitoring helped the client improve fleet
utilization and reduce idle time.
Reduced Operational Costs
Predictive maintenance capabilities allowed the client to address
issues before they escalated, cutting repair costs and downtime.
Improved Decision Making
The system's comprehensive dashboard provided actionable insights,
helping the client optimize their asset management strategies.
Our Clients Journeys
Let’s talk about your project
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