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TextSnap is an OCR (Optical Character Recognition) tool powered by Florence 2, designed to extract and visualize text from images. It enables users to identify and understand text within visual data by leveraging advanced AI technology. TextSnap is particularly useful for extracting text from images and displaying bounding boxes around detected text, making it ideal for applications such as document scanning, sign recognition, and image analysis.
• Text Extraction: Extract text from images with high accuracy.
• Bounding Box Visualization: Display bounding boxes around detected text for clear visualization.
• Multi-Language Support: Recognize text in multiple languages.
• High Accuracy: Florence 2 model ensures precise text recognition.
• User-Friendly Interface: Simple and intuitive design for easy operation.
• Cross-Platform Compatibility: Works seamlessly across various devices and platforms.
What formats does TextSnap support?
TextSnap supports JPEG, PNG, BMP, and other common image formats.
Can TextSnap handle handwritten text?
Yes, TextSnap can recognize handwritten text, though accuracy may vary depending on the quality of the handwriting.
Is TextSnap free to use?
TextSnap offers a free tier with basic features. Advanced features may require a subscription or one-time purchase.
How accurate is TextSnap?
TextSnap uses the Florence 2 model, which delivers high accuracy. However, accuracy depends on the quality of the input image and text clarity.
Can I use TextSnap offline?
Currently, TextSnap requires an active internet connection to process images. Offline functionality may be added in future updates.