AI Based Word Recognition and information extraction from scanned documents and images for the Digital Insurer.

99%Accuracy on printed
text

95%Accuracy for Handwritten Capital letters

87%Accuracy for handwritten lowercase letters

65%Accuracy for handwritten lowercase words

DOC PARSER FEATURES

01

Model trained on Advanced Computer Vision Techniques using NVidia GPUs.

02

Proprietary Insurance Specific Algos for better validation of data.

03

Easy integration with any Enterprise Ecosystem with plugging-in capability.

04

Cross Field Contextualization for better accuracy.

05

Dynamic Spell-Checks to get most appropriate value.

HOW DOES IT WORKS

1

INGEST

2

CLASSIFY

3

EXTRACT

4

VALIDATE

5

EXPORT

Web Based Annotated Templates for each kind of form. Post this exercise, the input formats allowed

Folders for batch processing.

APIs provided as external hooks.

INPUT

OUTPUT

The output formats supported by the DocParser with further extensibility are

JSON for consumption by systems

Digital storage formats like Database

KEY APPLICATION

The DocParser is instrumental in significant Operational gains throughout the Insurance Value Chain.

60-70% Operational Gains over Manual Processing on Critical Customer Touch-Points

Customer Onboarding forms through Agents.

Information Extraction from Claims Forms.

Meaningful information extraction from Underwriting documents

Automated Claims Processing through parsing of Invoices and other procedural documents.

EXTENSIBILITY

Batch Processing

Mobile App

System Enterprise

Web App

Key Insurtech Clients

Saved x,xxx minutes and counting in data entry for a political enterprise

START

NORMAL TO DIGITIZED DATA

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