Pathika

পাঠিকা (Pathika) is an innovative Assamese optical character recognition (OCR) tool being developed using state-of-the-art artificial intelligence technologies. This advanced system will enable accurate text extraction and digitization from images, documents, and handwritten content specifically optimized for the Assamese script.

🚀 Planned Features

• Image to Text: Extract Assamese text from photographs, scanned documents, and digital images
• Handwriting Recognition: Advanced AI models trained to recognize Assamese handwritten text
• Document Digitization: Convert printed Assamese books, newspapers, and manuscripts to digital format
• Multiple Input Formats: Support for JPG, PNG, PDF, and other common image formats
• Text Correction: Intelligent post-processing to improve accuracy and fix common OCR errors
• Export Options: Save extracted text in Unicode, PDF, or plain text formats

🔬 Technology

The development of পাঠিকা involves cutting-edge computer vision and deep learning techniques including convolutional neural networks, attention mechanisms, and transformer architectures specifically adapted for Assamese script recognition. Our research team is creating comprehensive datasets of Assamese text in various fonts, styles, and handwriting patterns to train highly accurate OCR models.

পাঠিকা will play a crucial role in preserving and digitizing Assamese literary heritage. By making it easy to convert physical books, manuscripts, and documents into searchable digital text, this tool will help:

• Preserve Historical Documents: Digitize ancient Assamese manuscripts and texts
• Educational Resources: Convert textbooks and learning materials for digital access
• Research Facilitation: Enable text analysis and linguistic research on digitized content
• Accessibility: Make printed Assamese content accessible to screen readers and assistive technologies

While we develop পাঠিকা, you can explore existing OCR solutions for Assamese text:

We are committed to bringing this powerful OCR tool to the Assamese-speaking community and researchers worldwide. Stay tuned for updates on our progress and be among the first to experience this revolutionary text recognition technology.

For updates, collaboration opportunities, or to contribute training data, reach out to us at [email protected]