Extract text from images using OCR
Demo of GOT-OCR 2.0's Transformers implementation
Extract and translate text from images
Extract text from an image and search for keywords
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Convert images of text into editable text
Qwen2-VL is a vision-language model that performs OCR
Extract text from images
Extract Urdu text from images
OCR System. Homepage: https://github.com/Topdu/OpenOCR
Upload images to extract and clean text
Turn images of text into editable text
Extract text from a PDF file
OCR Test is a powerful tool designed to extract text from images using Optical Character Recognition (OCR) technology. It enables users to convert non-editable text within images, scans, or screenshots into editable and searchable text. This tool is particularly useful for students, professionals, and researchers who need to work with printed or handwritten content digitally.
• High accuracy OCR: Extracts text with precision from various image formats.
• Multi-language support: Recognizes text in multiple languages for global accessibility.
• Image handling: Processes scanned documents, photos, and screenshots with ease.
• Text editing: Allows users to copy, edit, or share extracted text directly.
• Platform compatibility: Works seamlessly on desktop, web, and mobile devices.
• Privacy-focused: Ensures data security by processing images locally or securely online.
What file formats does OCR Test support?
OCR Test supports JPG, PNG, BMP, PDF, and GIF formats for image input.
Can OCR Test handle handwritten text?
Yes, OCR Test can recognize handwritten text, though accuracy may vary depending on the quality of handwriting.
Is OCR Test available on mobile devices?
Yes, OCR Test is available on both iOS and Android platforms for on-the-go use.