Project Brief: SmartBatch OCR
Objective: Build a web/mobile application designed for high-speed, template-driven data extraction from large batches of structured paper documents (such as invoices, receipts, and forms). Key System Architecture & Core Features
Template Creation & Region Mapping:
Users scan an initial sample document and map target fields (e.g., Invoice Number, Date, Total Amount) using an interactive GUI to define fixed bounding boxes or visual anchor coordinates.
High-Speed Batch Extraction:
When processing hundreds or thousands of matching paper scans, the engine isolates only the targeted template regions for instant OCR, skipping redundant full-page parsing to maximize speed.
Structured Tabular Output:
Extracted key-value pairs are automatically normalized and appended into a live local table (SQLite), allowing seamless review, sorting, and export to CSV, Excel, or PDF/A formats.
Complete Air-Gapped Data Sovereignty:
version mobile runs entirely on the user's local machine with zero internet dependencies, ensuring end-to-end data privacy and security for sensitive operational records.
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