Convert images of text into digital text
Extract text from images
Extract and overlay text on PDFs
Correct skew and detect text lines in PDFs or images
Read text from CAPTCHA images
Upload an image to extract, correct, and spell-check text
Qwen2-VL is a vision-language model that performs OCR
Generate text from images
Recognize text from images
Extract text from manga images
Convert handwritten images to text
Extract text from images
Extract text from images
OCR (Optical Character Recognition) is a technology that converts images of text into editable digital text. It enables users to extract text from scanned documents, photographs, or other sources, making it easier to edit, share, or process the information digitally.
• Text Extraction: Accurately extract text from images or scanned documents.
• Multi-Language Support: Recognize text in multiple languages.
• Integration: Compatible with various applications and systems for seamless text processing.
• High Accuracy: Advanced algorithms ensure precise text recognition.
• Editable Output: Convert images to editable formats like Word or PDF.
• Batch Processing: Process multiple files or pages at once for efficiency.
What file formats does OCR support?
OCR tools typically support formats like PDF, JPG, PNG, BMP, and TIFF.
How accurate is OCR?
Accuracy varies based on the quality of the image and the OCR tool used. High-quality images with clear text generally yield 90% or higher accuracy.
Can OCR handle handwritten text?
Some advanced OCR tools can recognize handwritten text, but accuracy may be lower compared to printed text.