OCR in Document Translation

What is OCR?

Optical Character Recognition (OCR) is a technology that converts different types of documents—such as scanned paper documents or PDFs containing text—into machine-readable and editable formats. OCR enables digital processing of text, making it possible to extract and translate content from various document formats accurately.

OCR and Document Translation with Lara

Lara’s advanced AI translation platform integrates robust OCR capabilities to ensure seamless document translation, regardless of format complexity. The key OCR features in Lara include:

1. OCR Based on Selectable Text

   • For digital documents (e.g., PDFs with embedded text), Lara directly extracts text without requiring additional processing, ensuring fast and accurate translation.

2. OCR Based on Scanned Paper Documents

   • When dealing with scanned documents, Lara applies intelligent text extraction to recognize and convert printed characters into digital text for translation.

3. OCR for Complex Layouts

   • Capable of identifying and preserving multi-column formats, tables, footnotes, and intricate layouts, ensuring that translated documents maintain their original structure.

4. OCR with Graphic Element Recognition

   • Recognizes and differentiates between text and graphic elements such as charts, diagrams, and images with embedded text, allowing for more precise translation workflows.

Lara’s OCR-powered document translation ensures that text from various document formats is accurately extracted and translated while maintaining the original structure.

Currently, Lara does not allow text extracted from images or photos to be translated through the web app, mobile applications, or mobile browsers. However, this feature is planned for future implementation.

This article is about:

• OCR translation
• Document translation OCR
• Scanned document translation