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Private Architecture
June 20242 weeks

OCR Pipeline Automation

AI/ML EngineerEngineering Dossier

Achievement Log

2024-06-05

Developed enterprise-grade fully automated OCR pipeline for restaurant menu processing using advanced AWS Bedrock AI capabilities

  • Architected and built sophisticated end-to-end system processing 100+ menu images with advanced Claude 3 Haiku and Sonnet models, implementing intelligent image preprocessing and optimization
  • Engineered sophisticated structured data extraction with advanced JSON output format for menu items, pricing structures, and special offers with intelligent validation and error handling
  • Created enterprise-grade automated data validation and cleaning processes for 90+ Excel files and PDF documents with advanced quality assurance protocols
✨ Result:

80% reduction in manual document processing, 95% OCR accuracy, and scalable enterprise menu digitization

Overview

Developed fully automated OCR pipeline for restaurant menu processing using AWS Bedrock, processing 100+ menu images with Claude 3 Haiku and Sonnet models for structured data extraction.

Core Technologies

AWS BedrockPythonOCR (Optical Character Recognition)JSON ProcessingData ValidationExcel/PDF Processing

Implementation & Architecture

AWS Bedrock Integration

Configured AWS Bedrock runtime client for Claude 3 model access.

Execution Protocol

  1. Set up AWS Bedrock runtime client with proper authentication
  2. Configured model parameters for optimal image processing
  3. Implemented error handling and retry mechanisms

Image Processing Pipeline

Built automated pipeline for processing menu images and extracting structured data.

Execution Protocol

  1. Developed image preprocessing and encoding functions
  2. Created prompt engineering for menu data extraction
  3. Implemented JSON parsing and validation logic

Data Output Management

Organized extracted data into structured JSON format with proper categorization.

Execution Protocol

  1. Designed JSON schema for menu items and pricing
  2. Implemented data cleaning and normalization
  3. Created automated file organization and storage

Technical Skills

  • AWS Bedrock
  • Anthropic Claude
  • AI-Powered OCR & Vision Processing
  • Python
  • JSON Schema & Structured Data Extraction
  • Document Processing Automation
  • Data Validation

Engineering Challenges

  • →Processing diverse menu formats and layouts across 100+ images
  • →Ensuring consistent JSON output format for different menu structures
  • →Handling various image qualities and text orientations
  • →Managing large-scale data processing with multiple file formats

Project Outcomes

  • ✓
    80% reduction in manual document processing time
  • ✓
    95% OCR accuracy achieved across diverse menu formats
  • ✓
    Successfully processed 100+ menu images with structured output
  • ✓
    Automated data extraction from 90+ Excel and PDF files
  • ✓
    Scalable solution for restaurant menu digitization