Extract text from images
Extract and search text from images
Extract text from images using OCR
Demo of GOT-OCR 2.0's Transformers implementation
Florence 2 used in OCR to extract & visualize text
Recognize text from handwritten images
Read text from CAPTCHA images
Correct skew and detect text lines in PDFs or images
Convert PDFs/Images to text using OCR
Extract text from vehicle number plates
Give it a pdf and it'll extract the text
Extract text from images using OCR
OCR stands for Optical Character Recognition, a technology used to extract text from images or scanned documents. It enables the conversion of printed or handwritten text into digital data, making it editable and searchable. OCR is widely used for digitizing printed information, such as books, invoices, and forms.
• Text Extraction: Extract text from images, PDFs, and scanned documents with high accuracy.
• Multi-Language Support: Recognize text in multiple languages, breaking language barriers.
• File Compatibility: Process various file formats, including JPG, PNG, PDF, and more.
• High Accuracy: Advanced algorithms ensure precise text recognition, even from low-quality images.
• Batch Processing: Process multiple files at once, saving time and effort.
• Integration: Easily integrate with workflows, such as document management systems or productivity tools.
What is the accuracy of OCR?
OCR accuracy depends on the quality of the input image and the capabilities of the tool. High-quality images with clear text typically yield accuracies over 90%.
Can OCR handle handwritten text?
Most modern OCR tools can recognize handwritten text, but accuracy may vary depending on handwriting clarity and the tool's capabilities.
Do I need an internet connection to use OCR?
Some OCR tools require an internet connection, especially online services, while others can function offline if installed on your device.