Over 1 Million Claims Indexed with 100% Accuracy Using Automated OCR

Page Conversion
Documents Processed
1 M
Digitized Documents
Document Types Indexed
20 +
Client Satisfaction
100 +

Client Challenge: 1 M+ Unstructured Claims to Process with High Accuracy

An organization overseeing claims related to a water crisis faced the huge task of processing more than 1 million claims, most of which were handwritten and presented in unstructured formats. These documents were varied and included critical records such as birth certificates and tax documents. With a strict deadline and a mandate for high accuracy, the project demanded rapid, reliable, and thorough indexing of both digital and paper-based claims.

Our Solution: Automated OCR Indexing of 20 Document Types with Human-In-The-Loop Quality Control

Rannsolve implemented a document processing strategy using automated OCR technology to convert scanned and digital documents into machine-readable formats. It indexed 20 key document types, extracting crucial data fields such as names, birth dates, and claim numbers. Quality control experts then carefully reviewed handwritten claims to ensure accuracy. Each document was then uploaded to cloud storage, accompanied by unique links, for streamlined access, allowing for fast and organized retrieval of data.

Business Outcomes

The project saw over one million documents accurately processed and indexed. Rannsolve not only met the tight deadline but also ensured consistent, structured, and accessible documentation, significantly enhancing the client’s operational efficiency.

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