Powered by IFAN AI
AI Image Deblurring
Fix blurry and out-of-focus photos with two engines: faithful NAFNet + smart sharpen by default, and Bria AI strong reconstruction for hard cases.
- HD Output Quality
- 5s Processing
- 0.5 Credit/Image
- Operational
- 0.5 cr · NAFNet · Bria FIBO (Mocna rekonstrukcja)
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What is Fix Blurry Photo?
Fix Blurry Photo is an AI tool in Pixelift that runs in the browser with no installation. Fix blurry and out-of-focus photos with two engines: faithful NAFNet + smart sharpen by default, and Bria AI strong reconstruction for hard cases. Engine: NAFNet · Bria FIBO (Mocna rekonstrukcja). Cost: 0.5 credits per result; credits are bought once in packs from $1.49, no subscription, valid for 12 months. Files are processed on EU servers and never used to train models.
How AI Deblurring Works
Defocus Correction
AI identifies out-of-focus regions and reconstructs sharp detail, restoring the look of a properly focused shot.
Edge Sharpening
Blurred edges around text, faces, and objects are precisely sharpened without introducing halos or artifacts.
Detail Recovery
Fine textures lost to blur — hair strands, fabric weaves, leaf veins — are intelligently reconstructed by the AI model.
Detail preservation
Sharpening without losing natural textures and fine details
Fast processing
Results in seconds thanks to GPU infrastructure
IFAN Technology
Our deblurring tool uses the IFAN (Iterative Filter Adaptive Network) model, designed specifically for defocus deblurring. It estimates spatially varying blur kernels and applies iterative refinement to restore sharpness across the entire image.
- Spatially adaptive filters handle different blur amounts across the image
- Iterative refinement progressively sharpens detail in multiple passes
- Preserves natural bokeh in backgrounds while sharpening the subject
Perfect For
Photography
Fix slightly out-of-focus portraits, product shots, and event photos
Documents
Sharpen blurry scans and phone photos of documents for readable text
Video Frames
Extract and sharpen individual frames from video recordings
Surveillance
Enhance blurry security footage to reveal faces and details
Portraits
recover face sharpness from motion-blurred shots
Landscapes
sharpen panoramas and handheld shots
Use Cases
Discover how AI deblurring restores sharpness to your photos
Photography
Rescue slightly out-of-focus portraits, event photos, and product shots. Recover the sharpness your camera missed.
Scanned Documents
Sharpen blurry phone scans of contracts, receipts, and whiteboards. Make text crisp and readable again.
Video Frame Extraction
Pull clear still images from video recordings. Sharpen motion-blurred frames into usable photographs.
Surveillance & Evidence
Enhance blurry security camera footage. Recover facial features and text that blur rendered unreadable.
Tips for Best Results — ✓ Best Practices
- Upload the original uncompressed file — JPEG compression hides detail the AI could recover
- Defocus blur responds best; extreme motion blur may only partially improve
- Use PNG or JPEG format — WebP is not supported for this tool
- Photos where the subject is slightly soft yield the most dramatic improvements
Pro Tips
- Combine deblurring with AI Upscaler for a double boost in sharpness and resolution
- For document photos, crop to the text area first for a more focused result
- Works well on phone photos taken through glass or windows
- Try multiple passes on heavily blurred images for progressive improvement
What this tool is (and is not) for
Use this tool for
- •Motion blur (camera/subject movement)
- •Out-of-focus photos (defocus)
- •Slight hand blur
- •Phone shake in low light
DO NOT use for — try instead
- •Noisy (that's not blur — that's grain)Instead try: Denoise— noise vs. sharpness are different problems
- •Severely damaged old photosInstead try: Old Photo Restore— multi-step repair
- •Photo is small (low-res)Instead try: Upscaler— enlarge first
- •Specifically blurred facesInstead try: Face Restore— better model for faces
Frequently Asked Questions
How does AI deblurring work?
The IFAN model estimates the blur pattern at each pixel, then reverses it mathematically. It uses iterative adaptive filters to progressively restore sharpness without adding artifacts.
What types of blur can it fix?
It excels at defocus blur (out-of-focus shots) and mild motion blur. Extreme motion blur or intentional artistic blur will see partial improvement but may not be fully reversed.
What image formats are supported?
Upload photos in PNG or JPEG format up to 20MB. WebP is not supported for deblurring. Results are delivered as high-quality PNG files.
How much does deblurring cost?
Each deblurred image costs 1 credit. New accounts receive free credits to try it. Additional credits start at $1.49 for 10 credits.
Will it make my photo look oversharpened?
No. Unlike basic sharpening filters, the AI reconstructs actual detail rather than boosting edges. The result looks naturally sharp, not artificially processed.
Can it fix blurry text in documents?
Yes, document photos with slightly blurry text respond very well. The AI restores character edges so text becomes legible again — great for scanned receipts and contracts.
Does it work on video frames?
Yes. Export a frame from your video as PNG or JPEG and upload it. The AI will sharpen it just like a regular photo. Useful for extracting clear stills from recordings.
How long does deblurring take?
Most images are processed in about 5 seconds. Larger or more complex images may take slightly longer depending on resolution and server load.
What to Do Next
Continue your workflow with these tools
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Ready to Sharpen Your Photos?
Start with No subscription — credit packs from $1.49.
Call it from code
One endpoint, key in the header. The same tool that runs on this page — no browser, no clicking.
curl -X POST https://pixelift.pl/api/deblur \
-H "Authorization: Bearer pk_live_..." \
-F "file=@zdjecie.jpg" \
-F "mode=standard"Response: { "url": "https://pixelift.pl/uploads/…", "creditsUsed": 1 }
Request fields
file | file | required | Rozmyte zdjecie |
mode | standard · strong | optional | standard = NAFNet, strong = rekonstrukcja generatywna |