Upload an image to extract, correct, and spell-check text
Extract text from single-line Kurdish images
Extract text from images in multiple languages
Extract text from images
Extract text from vehicle number plates
Extract text from images using OCR
Read text from images
Python3 package for Chinese/English OCR, with paddleocr-v4 o
Extract text from images
Extract text from images using OCR
Qwen2-VL is a vision-language model that performs OCR
Convert images to text using OCR without code changes
Extract text from images
OCR Demo is an AI-powered Optical Character Recognition tool designed to help users extract, correct, and spell-check text from images. It simplifies the process of converting images of text into editable digital formats, making it ideal for documents, receipts, handwritten notes, and more. The tool promotes accuracy and saves time by automating the manual process of transcribing text.
• Support for various image formats (e.g., JPG, PNG, PDF).
• High-accuracy text extraction from low-quality or skewed images.
• Real-time text correction to fix errors in extracted text.
• Spell-checking to ensure the text is error-free.
• Multi-language support for global users.
• User-friendly interface for seamless operation.
Using OCR Demo is straightforward. Follow these steps:
1. What file formats does OCR Demo support?
OCR Demo supports popular image formats such as JPG, PNG, and PDF. For best results, use clear, high-resolution images.
2. Is OCR Demo accurate for handwritten text?
OCR Demo provides high accuracy for both printed and handwritten text. However, results may vary depending on the quality and legibility of the input image.
3. Can OCR Demo handle multiple languages?
Yes, OCR Demo supports multiple languages. Ensure the language is selected correctly before processing to achieve optimal results.