feat: Invoice Data Extraction Application #7
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- Database Schema: Created PostgreSQL schema with invoice and invoice_item tables using Drizzle ORM, including proper foreign keys, indexes, and connection pooling - OCR Service: Implemented Tesseract.js-based OCR service for extracting invoice data from images/PDFs with regex parsing for invoice number, date, vendor, line items, and totals - API Routes: Built comprehensive Next.js API routes for invoice upload, retrieval, filtering, and detail viewing with proper validation and error handling - Upload Form: Created React component with drag-and-drop functionality, file validation, progress feedback, and seamless backend integration - Dashboard: Developed full-featured invoice management dashboard with list view, advanced filtering, pagination, detailed modals, and summary charts using Recharts - Navigation: Updated app navigation to include invoices section with proper routing 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Summary
Implemented a complete Invoice Data Extraction Application with the following features:
• Database Schema: PostgreSQL tables for invoices and invoice items with proper relationships and indexing
• OCR Integration: Tesseract.js-based text extraction and parsing for invoice data
• API Routes: Comprehensive Next.js API endpoints for upload, retrieval, and management
• Upload Component: React component with drag-and-drop, validation, and progress feedback
• Dashboard: Full-featured management interface with filtering, pagination, charts, and detail views
Key Components
Backend Infrastructure
Frontend Features
Technical Implementation
Test Plan
🤖 Generated with Claude Code