Intelligent Document Processor
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Intelligent Document Processor

Automated document extraction and classification for financial services

10 weeks

Timeline

Financial Services

Industry

5 engineers

Team Size

A major financial services firm was processing thousands of documents daily — loan applications, compliance reports, and regulatory filings — with manual review teams that couldn't keep pace with volume growth.

We built an end-to-end intelligent document processing pipeline that automatically classifies incoming documents, extracts key data fields with high accuracy, validates extracted data against business rules, and routes exceptions for human review.

The system uses a combination of fine-tuned vision-language models for layout understanding, custom NER models for entity extraction, and confidence-based routing to minimize human review while maintaining accuracy standards required by regulators.

Tech Stack

PythonAzure Document IntelligenceGPT-4VLangChainFastAPIReactPostgreSQL

Key Results

85% reduction in manual processing time
99.2% extraction accuracy on key fields
Processing 3,000+ documents daily

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