TB-OCR Demo

What is TB-OCR Demo ?

TB-OCR Demo is an unofficial demo application designed to demonstrate the capabilities of TB-OCR, an Optical Character Recognition (OCR) tool. It allows users to extract and convert text from images of documents into editable markdown text. This tool is particularly useful for digitizing handwritten notes, scanned documents, and other image-based text content, making it accessible for further editing or sharing.

Features

• Image-to-Markdown Conversion: Automatically convert images containing text into markdown-formatted text.
• Handwriting Support: Capable of recognizing and converting handwritten text from images.
• Multi-Language Support: OCR functionality supports text recognition in multiple languages.
• User-Friendly Interface: Simple and intuitive interface for uploading images and viewing converted text.
• Custom Templates: Option to format the extracted text using custom markdown templates for consistent output.

How to use TB-OCR Demo ?

1. Download/Access the Demo: Start by downloading or accessing the TB-OCR Demo application from the official source.
2. Upload an Image: Load an image file containing text (e.g., a scanned document, photo of handwritten notes).
3. Select Language/Template (Optional): Choose the language of the text in the image or apply a custom markdown template if needed.
4. Process the Image: Click the "Convert" or "Process" button to initiate OCR processing.
5. Review and Edit: Review the extracted text output in markdown format. Edit or adjust as necessary.
6. Save/Export: Save the converted text as a markdown file or copy it for use in other applications.

Frequently Asked Questions

What file formats does TB-OCR Demo support?
TB-OCR Demo supports common image formats such as JPEG, PNG, and BMP for input. The output is provided in markdown text format.

Can TB-OCR Demo handle handwritten text?
Yes, TB-OCR Demo includes handwriting support, allowing it to recognize and convert handwritten text from images, though accuracy may vary depending on handwriting quality.

How do I handle complex document layouts?
For complex layouts, you can pre-process the image by cropping specific sections or using the built-in options to improve OCR accuracy. The results can then be manually adjusted if needed.