Document Image Enhancement for Degraded Archival Documents
Restore and clean images by removing scratches and inpainting
Repair images by removing unwanted parts
Repair images by inpainting missing parts
diffusion-based Image Restoration model
Retouch images with advanced editing
Repair images by removing unwanted elements
Enhance and restore old photos and AI-generated faces
Repair and enhance images by removing artifacts
Repair images by inpainting missing or unwanted parts
Magic object removal or correcting your image
Transform images to look younger or older
Restore faded text from images
Die Demo is a specialized application designed for Restoring an old photo, specifically focused on Document Image Enhancement for Degraded Archival Documents. It leverages advanced AI technology to enhance degraded document images, making them more readable and preserving their historical value. Die Demo is particularly useful for historians, researchers, and anyone looking to recover and restore old or damaged documents.
• AI-Enhanced Restoration: Uses cutting-edge AI algorithms to repair and enhance degraded document images.
• Noise Reduction: Effectively removes unwanted noise, blotches, and artifacts from scanned or photographed documents.
• Text Sharpening: Improves the clarity and legibility of text in faded or blurry documents.
• Multi-Format Compatibility: Supports various image formats, including JPEG, PNG, and TIFF.
• User-Friendly Interface: Designed for ease of use, allowing users to upload, process, and download enhanced images quickly.
What formats does Die Demo support?
Die Demo supports popular image formats such as JPEG, PNG, and TIFF, ensuring compatibility with most document scanning workflows.
How long does the enhancement process take?
The processing time depends on the size and quality of the input image but typically takes only a few seconds for standard documents.
Can Die Demo handle handwritten documents?
Yes, Die Demo is capable of enhancing handwritten documents, although results may vary based on the degradation level and quality of the original image.