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Optical-Character-Recognition (OCR) 

Streamline your document workflows with state-of-the-art OCR technology, ensuring unparalleled accuracy and integration flexibility.

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Unlock High Precision Text Recognition with Our Advanced OCR Module

Overview

The OCR (Optical Character Recognition) Module is designed to digitize scanned documents, converting them into machine-readable text. This module enhances document processing by automating data extraction, improving accuracy, and facilitating further analysis. TRADE AI uses ABBYY FineReader Server 14 by default for OCR. It can also be configured to use Microsoft Azure Computer Vision for OCR or any other system.

Features & Functionality

The system offers comprehensive document digitization and processing features, including OCR, field extraction, and multi-language support. It enhances image quality, performs layout analysis, and supports batch processing for efficient handling of multiple documents. The system also includes error correction, screening, validation, and integration capabilities, enabling seamless workflow integration and scaling with multi-node processing.

Features & Functionality:

  • Document Digitization & Text Recognition: Converts scanned images and handwritten text into machine-readable text with multi-language support.
  • Image Pre-processing & Layout Analysis: Optimizes image quality and preserves document structure, including tables and columns.
  • Batch Processing & Integration: Handles multiple documents simultaneously and integrates with external systems for seamless workflow management.

Benefits

The system provides substantial benefits by automating data extraction, enhancing accuracy with image pre-processing and confidence scoring, and offering scalability through multi-node processing. Its flexibility allows integration with various OCR services and datasets, making it adaptable to diverse document processing needs.

  • Efficiency: Automates data extraction, significantly reducing manual effort.
  • Accuracy: Improves data precision with advanced image processing and confidence scoring mechanisms.
  • Scalability & Flexibility: Supports large-scale processing and integrates with multiple OCR services and datasets.

Summary

The OCR Module significantly improves document handling by automating the digitization and data extraction processes, ensuring higher accuracy and efficiency in data management.

OverviewFeatures & FunctionalityBenefitsSummary

How does it work ?

Document Upload

The system handles the document upload process as follows:

  • Upload Documents: Users or external sources upload documents to the system.
  • Organize and Store: The system organizes and stores the documents within designated events.
  • Dispatch for Processing: Events can be dispatched to other users for further processing as needed.

Information Extraction

  • The system uses OCR and AI to interpret and extract information from the documents.
  • Documents are classified and assigned to specific classes (e.g., Bills of Lading).
  • Each document's extracted information is given a confidence score based on image quality and system familiarity

Verification

  • Users manually check and correct the system's interpretation if confidence scores are low.
  • This step helps train the system for future document interpretations.
  • Users ensure the extracted information is accurate before proceeding to the next workflow steps.