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AI Document Intelligence & Extraction Engine

Automated parsing, entity recognition, and validation pipeline processing complex financial and legal documents.

Architecture & Implementation

AI Document Intelligence & Extraction Engine

Project Overview

An enterprise AI processing engine combining modern Vision-Language models with deterministic rule validation to parse unstructured scanned documents into clean structured data.

The Operational Challenge

Manual processing of commercial contracts, bills of lading, and audit records created high latency and human error rates, requiring a dedicated team of 18 verification officers.

Our Engineering Solution

Engineered an asynchronous pipeline that performs layout analysis, optical character segmentation, and schema-constrained LLM entity extraction with human-in-the-loop verification flags.

Core Capabilities & Features

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Multi-format file ingestion (PDF, TIFF, JPEG, PNG)
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High-confidence semantic key-value extraction
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Automated compliance and anomaly flagging
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Confidence score telemetry per extracted entity
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Secure end-to-end audit trail and encrypted storage

Results & Verified Outcomes

Achieved 96.8% autonomous extraction accuracy across varied multi-page templates and reduced document turnaround from 4 hours to under 30 seconds.

Project Specifications

Domain & CategoryAI Solution
IndustryFinTech & Compliance
Technologies Used
PythonFastAPIPyTorchNext.jsPostgreSQLCelery

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AI Document Intelligence & Extraction Engine — Case Study | Ledzora