Make blurry photos crystal clear. Our Cloudflare AI upscaler uses deep learning to double the resolution of your images.
Supports JPG, PNG (Max 5MB)
Unlike external AI services that require you to upload your sensitive medical records or IDs to cloud servers for GPU processing, DoctorDocs utilizes High-Quality Canvas Hardware smoothing to double your image size directly on your own device's CPU/GPU.
DoctorDocs image editing tools use the HTML5 Canvas API and WebAssembly to process images entirely within your web browser. When you upload an image, it is loaded into a Canvas element — an HTML5 drawing surface that allows pixel-level manipulation using JavaScript. Operations like cropping, rotation, brightness adjustment, and contrast enhancement are performed by mathematical transformations on the pixel data. For advanced operations like shadow removal and adaptive thresholding, we use OpenCV.js — the world's most popular computer vision library compiled to WebAssembly for browser execution.
Every photo taken with a smartphone or digital camera contains hidden metadata called EXIF data. This metadata can include GPS coordinates (your exact location when the photo was taken), camera make and model, date and time, lens information, aperture, ISO sensitivity, and even the software used to edit the image. Sharing photos with EXIF data intact can inadvertently reveal your home address, workplace, or travel patterns. Our EXIF Metadata Remover strips all this hidden information while preserving the visible image quality, protecting your privacy before you share photos online.
Traditional image upscaling (making a small image larger) simply stretches pixels, resulting in a blurry, pixelated image. AI-powered upscaling uses deep learning models trained on millions of image pairs to intelligently fill in the missing detail. When you upscale a 200×200 image to 400×400, the AI predicts what the new pixels should look like based on patterns learned during training — reconstructing edges, textures, and fine details that simple interpolation cannot. This is particularly useful for improving the readability of low-resolution document scans and screenshots.
JPEG uses lossy compression — it discards some visual information to achieve smaller file sizes. At high quality settings (90-95%), the loss is imperceptible to the human eye. At lower settings, you may notice artifacts around text edges and sharp contrasts. PNG uses lossless compression — every pixel is preserved exactly, but file sizes are larger. WebP (developed by Google) offers both lossy and lossless compression with better efficiency than JPEG and PNG. For document images where text clarity is critical, we recommend PNG format. For photographs where some quality trade-off is acceptable, JPEG at 95% quality offers the best size-to-quality ratio.
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