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Upload to get high resolution images
Supports JPG, PNG, WebP (max 20MB)
Nude or explicit images are not supported.
A screenshot is mostly text and crisp edges, which is exactly what compression destroys. Our AI rebuilds the capture at high resolution and anchors it to your original, restoring readable text and clean UI without altering the content.
Ordinary “enhancers” stretch the pixels you already have with interpolation (bicubic or Lanczos resampling), which simply enlarges the blur. Our model instead re-synthesizes the photo with a generative, diffusion-based restoration network, rebuilding the high-frequency detail — edges, micro-texture, hair, fabric, skin — that low resolution, blur, or noise destroyed and that interpolation can never recover.
Generation is conditioned on your original image: every reconstructed pixel is anchored to the source. That keeps the result faithful — the model restores real detail without semantic drift, so it never invents objects, changes the scene, or alters a person’s identity. This image-conditioned, fidelity-first approach is what separates a trustworthy restoration from a generic AI re-imagining.
A face-aware pass applies a facial prior to every detected face, rebuilding eyes, skin texture, and facial structure while preserving the subject’s identity — the region people scrutinize most, and the first place naive upscalers fail.
The output is a truly sharp, high-resolution image with natural micro-contrast and clean edges — the photo you meant to capture, rendered in HD, rather than an over-sharpened or hallucinated approximation.
Standard photo deblurring models are optimized for natural images — faces, landscapes, objects. Screenshots contain a fundamentally different signal: high-contrast text on uniform backgrounds, UI elements with precise geometric edges, and color-coded syntax. Applying a generic deblurring model to a screenshot often produces soft, smeared text because the model tries to “naturalize” sharp edges that should remain crisp.
Our text-aware approach uses OCR-guided sharpening. The model first detects text regions using character segmentation, then applies edge-preserving super-resolution specifically tuned for letterform geometry. According to research from the Document Analysis Systems conference, text-specific enhancement achieves a 28% higher character recognition rate on degraded screenshots compared to general-purpose image sharpening.
Maximum resolution enhancement for screenshots
Higher character recognition vs generic sharpening
Average processing time per screenshot
Video call captures with compression artifacts and low resolution. Unblur screenshot captures from Zoom to restore shared screen content, chat text, and participant names.
WhatsApp, Telegram, and Slack screenshots compressed during sharing. Recover chat text and emoji details lost to compression.
Screenshots of PDFs, spreadsheets, and documents with small text. Sharpen fine print and table data to readable quality.
Low-res screenshots of PowerPoint and Google Slides presentations. Restore headline text, bullet points, and diagram labels.
Screenshots of code editors and terminals with small monospaced text. Restore syntax highlighting colors and individual characters.
Full-page or partial web screenshots with degraded quality. Sharpen navigation menus, article text, and image captions.
Three simple steps to sharp, readable screenshots
Drop your blurry screenshot into the editor. Supports PNG, JPG, WebP up to 20MB.
Our AI detects text regions and applies OCR-guided sharpening to restore character edges and clarity.
Get your enhanced screenshot with sharp, readable text. Ready for presentations or documentation.
Yes. Research from the International Conference on Document Analysis and Recognition (ICDAR) shows that deep learning OCR models achieve over 95% character recognition accuracy on degraded text when paired with preprocessing deblurring, compared to under 60% without it. When you unblur screenshot files with our tool, the model applies sharpening specifically trained on screen-rendered text patterns.
We accept JPG, PNG, and WebP screenshots up to 20MB. PNG is recommended for screenshots because it uses lossless compression that preserves text edges. JPEG screenshots with heavy compression artifacts (quality below 50%) will also see substantial improvement.
The tool processes screenshots up to 2K resolution (2048 x 2048 pixels) output. Input screenshots of any resolution are accepted — lower resolution inputs benefit most since the AI can apply up to 4x super-resolution enhancement to reconstruct missing detail.
Yes. Messaging apps like WhatsApp compress images by 40-70%, and social media platforms apply additional compression. Our AI learns typical text and UI element patterns, allowing it to unblur screenshot files and reconstruct sharp edges even from captures that have been compressed multiple times through different platforms.
No. The AI exclusively enhances sharpness and clarity without altering, adding, or removing any content. All text, UI elements, colors, and layout remain identical to the original. The model is constrained to restoration only.
New users receive 5 free credits upon sign-up. Each unblur screenshot operation costs 5 credits, giving you 1 free enhancement. Additional credits start at $9.99 for 350 credits, which covers 70 screenshots.
Upload any blurry capture and unblur screenshot quality with AI. From Zoom meetings to compressed chat screenshots — readable results in under 30 seconds.
