DocuSync AI — Document Extraction & Ingestion Engine
An experimental document intelligence engine combining local OCR with multimodal LLM visual reasoning. Designed to parse complex multi-column invoices, handwritten notes, and irregular receipts without brittle coordinate templates.
Business & Technical Friction
- Traditional coordinate-based OCR fails whenever an invoice layout changes slightly.
- Handwritten notations and poor scan quality produce corrupt text outputs in legacy parsers.
- High cost of commercial proprietary document AI APIs.
Architecture & Implementation
Architected a hybrid pipeline combining lightweight local preprocessing with targeted visual LLM schema extraction and Pydantic data validation.
Core Technologies Deployed:
Engineered Features & Workflows
Key operational capabilities built into this platform to solve the core business challenges.
Coordinate-Free Layout Extraction
Uses vision understanding to accurately identify totals, line items, and tax rows regardless of format.
Pydantic Strict Schema Validation
Guarantees JSON outputs conform precisely to client database types before acceptance.
Exception Queue
Isolates ambiguous documents with confidence scores below 95% for rapid human validation.
Related Engineering Services
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Convert complex unstructured documents into validated JSON schemas in seconds.
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AI & Automation
AI Workflow Automation
Automate cross-platform data transfers, approval routing, and notifications.
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