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OCRed

Intelligent OCR ETL for toll records processing

ETL Product

Document Intelligence

Serverless Architecture

Scalable

OCRed

Project Details

OCRed automates ingestion, parsing, verification and insertion of toll records from scanned PDFs for a highway agency. The product handles multiple document templates, applies OCR and parsing rules, and presents a verification UI that pairs extracted tabular data with the original scans for human validation. The pipeline design emphasised fault-tolerant concurrency and idempotent processing to avoid duplication during retries.

A serverless execution model with concurrent orchestration ensured the product scales under heavy batch loads while preserving data integrity and auditability.

Delivered capabilities included template-aware parsing, confidence scoring and retryable ETL steps. We recommended a machine-assisted review queue to prioritise low-confidence records, an audit API for downstream reconciliation, and workflow automation to trigger stakeholder notifications and downstream database syncs — all designed to reduce manual overhead and improve throughput.