Demo of GOT-OCR 2.0's Transformers implementation
Convert scanned images to text
Extract text from images using OCR
Extract and search text from images
Extract text and tables from French images
Recognize text from images
Extract text and search keywords from images
Upload an image to extract text
Extract text from images using OCR
Extract text from images
Extract text from images and search for keywords
Extract text from images
Turn images of text into editable text
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.