Cases
/ Seamless —
ML and OCR solutions for broker platform implemented and documents processing time reduced 2 times
Project
20+
types of documents can be recognized
ML and OCR solutions for broker platform implemented and documents processing time reduced 2 times
Frontend
Backend
Machine learning
Retail
Angular
Ruby (RoR)
SaaS
Optical Character Recognition (OCR)
MVP for Fixed Price
Goal
To automate creating an application for a mortgage loan.
Obstacle
Any application requires both electronic and paper documents.
Solution
- We developed a web application to automate collecting documents and creating a mortgage application.
- The app was integrated with the ML-powered service Ephesoft for OCR recognition.
- The system is able to learn and recognize new types of documents.
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