OCR (Optical Character Recognition) Tool

Techsolut's OCR tool allows you to automatically extract and digitize text from images, scanned documents, or videos. This technology transforms visual content into editable and searchable text, facilitating document automation and information extraction.

Operating Principles

The OCR process follows several sequential steps:

1. Image Preprocessing - Orientation correction, noise removal, binarization
2. Segmentation - Identification of text areas, lines, words, and individual characters
3. Recognition - Character classification via AI models
4. Post-processing - Contextual correction, structuring, and formatting of extracted text

Technologies and Models

Our solution implements various advanced approaches:

• Convolutional Neural Networks (CNN) - For character detection and recognition
• Transformers - For contextual understanding and correction
• Transfer Learning - Adaptation to different fonts and styles
• Language Models - For improving accuracy via contextual prediction

Multi-language Capabilities

The tool supports a wide range of languages:

• Latin Languages - French, English, Spanish, German, etc.
• Cyrillic Languages - Russian, Bulgarian, Ukrainian, etc.
• Asian Languages - Simplified/Traditional Chinese, Japanese, Korean
• RTL Languages - Arabic, Hebrew, Persian
• Other Writing Systems - Thai, Hindi, Greek, etc.

Supported Document Types

The tool is optimized for different types of content:

Administrative Documents

Forms, invoices, receipts, ID cards, passports.

Commercial Documents

Business cards, catalogs, brochures, presentations.

Printed Content

Books, newspapers, magazines, reports.

Handwritten Content

Handwritten notes, signatures, annotations.

Content in Images

Text on signs, billboards, product labels.

Intuitive User Interface

The interface allows you to:

1. Import Documents - Loading individual images or batches
2. Define Areas of Interest - Manual or automatic selection of regions to analyze
3. Configure Parameters - Language selection, recognition mode, etc.
4. Visualize Results - Display of extracted text with visual correspondence
5. Edit and Correct - Interface for adjusting potential errors
6. Export Data - Save in text formats, searchable PDF, JSON, etc.

Main Applications

Document Automation

Digitization of large volumes of paper documents for archiving and search.

Structured Information Extraction

Automatic data capture from forms and standardized documents.

Accessibility

Conversion of printed text to searchable content for the visually impaired.

Automatic Translation

Extraction then translation of text in multilingual images or documents.

Visual Content Analysis

Understanding and indexing text present in images and videos.

Advanced Features

Table OCR

Extracts tables with their structure while preserving relationships between cells.

Field Detection

Automatically identifies key fields in forms (name, date, amount, etc.).

Mixed Script Recognition

Handles documents containing multiple languages or writing systems.

Layout Reconstruction

Preserves the structure of the original document, including columns and formatting.

Adaptive Improvement

Progressively improves by learning from user corrections.

Integration and Automation

The tool integrates easily into workflows:

• REST API - For integration into existing applications
• Batch Processing - For large volumes of documents
• Scheduled Automation - For recurring tasks
• Webhooks - To trigger actions based on extracted content
• Cloud Integration - Connection to storage and processing services

Performance and Limitations

• Accuracy above 99% on good quality printed text
• Minimum recommended resolution: 300 DPI for printed documents
• Support for tilted document images (up to ~15°)
• Handwritten text processing (variable accuracy depending on legibility)
• Limiting factors: very low image quality, heavy compression, artistic text