Intelligent Document Pipeline
Multi-modal vision-language document processing engine for extracting structured data from unstructured enterprise forms.
A high-throughput document extraction system capable of processing scanned PDFs, invoices, and handwritten forms into clean JSON schemas.
The Research Challenge
Legacy OCR software fails when layout structures vary or when document images contain low contrast or non-standard tables.
Engineering Approach
We utilize multi-modal vision-language models combined with schema validation to extract key-value pairs and tabular data automatically.
Vision-Language Model Parsing
Dynamic Bounding-Box Detection
Pydantic Schema Validation
Automated Exception Flagging
Processing 50,000 test invoices with a 98.6% field extraction accuracy rate.
Integrating zero-shot document classification for multi-page packets.
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Discuss how our research prototypes can be hardened into commercial software for your enterprise.
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