Demo of GOT-OCR 2.0's Transformers implementation
Extract and overlay text on PDFs
Convert scanned images to text
Extract text from images
Recognize text from images
Compare OCR results from images
Surya OCR
Extract and correct text from images
Convert PDFs/Images to text using OCR
Extract text from images using OCR
Qwen2-VL is a vision-language model that performs OCR
Extract text from single-line Kurdish images
Extract text from manga images
GOT OCR Transformers is a powerful Optical Character Recognition (OCR) tool designed to extract text from images with high accuracy. It leverages advanced transformer-based models to deliver precise text recognition, making it ideal for converting image-based content into editable text. This tool is particularly useful for processing documents, invoices, receipts, and any other image-containing text.
• Image-to-Text Conversion: Extract text from images with high accuracy. • Transformer-Based Architecture: Utilizes cutting-edge AI models for superior OCR performance. • Multiple OCR Engines: Supports various OCR engines for flexibility and reliability. • High Accuracy: Delivers precise text extraction even from low-quality images. • Easy Integration: Can be integrated into workflows for automated document processing. • Cross-Platform Compatibility: Works seamlessly across different operating systems.
What is the best way to get started with GOT OCR Transformers?
Start by installing the tool, uploading an image, and following the on-screen instructions to extract text.
Which file formats does GOT OCR Transformers support?
GOT OCR Transformers supports common image formats like JPG, PNG, BMP, and TIFF.
Can GOT OCR Transformers handle low-quality images?
Yes, the tool is designed to work with low-quality images and can still deliver accurate results.