Book Photo Restoration
Restore photos printed in books, yearbooks, and albums with AI. Remove halftone dots, fix binding shadows, correct page curvature, and recover sharp detail.
Drop your photo here, or click to choose
Supports JPG, PNG, WebP — max 8MB
How It Works
Book photo restoration addresses the unique challenges of recovering high-quality images from photographs printed on paper pages — yearbooks, family albums, photo books, newspapers, and magazines. Unlike original photographic prints, book-printed images suffer from a distinct set of quality limitations: halftone dot patterns that create visible moiré when scanned, binding shadows where the page curves into the spine, uneven lighting across the page surface, yellowed or foxed paper that tints the image, ink bleed-through from the reverse side, and the generally lower resolution of offset printing compared to photographic processes. Our AI restoration engine tackles each of these issues with specialized processing. It detects and removes halftone screening patterns through intelligent frequency-domain filtering, reconstructs content lost in binding shadows by analyzing perspective and gradient cues, removes paper discoloration while preserving the original image colors, and applies super-resolution to recover detail beyond what the printed dots can represent. The result transforms a rough page scan into a clean, sharp photograph.
Common Questions
Can AI remove the dot pattern from scanned book photos?+
Yes. The AI identifies halftone dot patterns and screening frequencies, then reconstructs smooth, continuous-tone imagery from the underlying data — far superior to simple blur-based descreening.
What about the dark shadow near the book spine?+
The AI detects binding curvature shadows and compensates for both the darkening and the geometric distortion caused by the page curving into the spine.
Does it work on newspaper clipping photos?+
Yes. Newspaper photos use a coarser halftone screen and lower-quality paper, but the AI handles these effectively, removing visible dots and paper texture to produce a clean image.