Transform Unstructured Documents into Structured, Validated Data
Convert PDFs, invoices, medical records, and complex forms into structured, queryable data with multi-modal LLMs and OCR validation.
PDF / TIFF / Image Stream
Deskew & OCR Extraction
Structured Key Extraction
Mathematical Checks
PostgreSQL & Webhooks
Accepts high-resolution multi-page files via signed S3 upload or email attachment.
Finance, legal, and operational teams struggle with thousands of incoming PDF invoices, contracts, and shipping bills requiring line-by-line verification.
Traditional OCR engines fail when document layouts shift, fonts vary, or tables span across multiple page breaks.
Backlogs in invoice processing, payment reconciliation delays, compliance risks, and wasted human hours.
Our Architectural Approach
We combine hybrid vision-language OCR pipelines with multi-pass schema enforcement to extract key-value pairs, line items, and contextual clauses with mathematical certainty.
Implementation Strategy
Document Taxonomy Definition
Classify incoming document formats and define JSON schema requirements.
Extraction & Calibration
Tune multi-modal prompts and establish confidence threshold triggers.
Human-in-the-Loop Workflow
Route low-confidence extracts to human review interfaces for quick one-click approvals.
Enterprise Document Intelligence
Traditional template-based document scrapers break the moment a vendor changes their invoice margins. Our intelligent document architecture uses layout-aware multi-modal models that read documents just like a senior accountant.
Measurable Business Value
Invoice and document turnaround speed from hours to seconds.
Multi-stage cross-validation prevents erroneous data entry.
Full lineage tracking of every extracted field back to the source bounding box.
Technology Layer
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