AI app for creatives · no coding needed
Managed photo restoration and upscaling studio
Reduce manual retouching time while keeping a human-approved result.
Made for: Photographers, archivists and media teams restoring blurry or low-resolution images
What it does for you
The problem
Blurry, noisy and low-resolution photos need enhancement, but separate tools each handle only part of the job and results vary.
What it gives you
Reviewer-approved restored image sets linked to source files
What you give it
Licensed source imagesenhancement settingsreview constraints
Build your own version of Fix Blur, Remini and more
One app with what these 4 AI tools do, yours to keep and change: Fix Blur, Remini, Snapclear, Gigapixel AI Upscaler.
Everything these tools do, in one app
- AI-driven enhancement Uses artificial intelligence to automatically improve image quality.Found in Fix Blur, Remini, Snapclear and 1 more
- Face clarification Specifically enhances facial features for better clarity.Found in Fix Blur, Remini, Gigapixel AI Upscaler
- One-tap enhancement Allows users to enhance photos with a single click or tap.Found in Remini
- User-friendly interface Provides an intuitive and easy-to-use interface for all skill levels.Found in Fix Blur, Snapclear
- Instant results Delivers quick processing and fast enhancement results.Found in Fix Blur
- Unlimited free access Offers free usage without limits on the number of enhancements.Found in Fix Blur
- Multiple enhancement variations Provides various options to fine-tune the enhancement result.Found in Remini
- User customization Allows adjusting the intensity or degree of enhancement.Found in Remini
- Multi-language support Available in multiple languages for international users.Found in Remini
- Automatic noise reduction Reduces grain and noise in photos automatically.Found in Snapclear
- Detail enhancement Sharpens and enhances details for crisper images.Found in Snapclear
- Batch processing Enhances multiple images at once to save time.Found in Snapclear
- Wide format support Supports a wide range of image file formats.Found in Snapclear
- Deep learning upscaling Uses AI to upscale low-resolution images while adding realistic details.Found in Gigapixel AI Upscaler
- Detail recovery Restores fine details like textures and features in images.Found in Gigapixel AI Upscaler
- Artifact removal and sharpening Eliminates compression artifacts and sharpens images for clarity.Found in Gigapixel AI Upscaler
- Versatile integration Works as a standalone app or plugin for other software.Found in Gigapixel AI Upscaler
- Face recovery gen2 Advanced face recovery feature for restoring facial details.Found in Gigapixel AI Upscaler
How it works, step by step
- Detect blur, noise and low resolution in supplied images
- Apply AI enhancement with adjustable intensity
- Clarify faces and recover facial details
- Reduce grain and noise automatically
- Sharpen details and remove compression artifacts
- Upscale low-resolution images with realistic detail
- Offer multiple enhancement variations per image
- Support one-tap enhancement for simple cases
- Process batches of images at once
- Accept a wide range of image file formats
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewer-approved restored image set with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Managed photo restoration and upscaling studio with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Managed photo restoration and upscaling studio with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links3 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria13 KB
- demo/index.htmlThe working demo on sample data193 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce manual retouching time while keeping a human-approved result. For photographers, archivists and media teams restoring blurry or low-resolution images, convert licensed source images, enhancement settings and review constraints into reviewer-approved restored image sets linked to source files. The benefit is a testable hypothesis, measured through accepted restored images per review hour and corrections after delivery; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed source images, enhancement settings and review constraints, then follow this sequence: 1. Detect blur, noise and low resolution in supplied images. 2. Apply AI enhancement with adjustable intensity. 3. Clarify faces and recover facial details. Resolve uncertain cases with qualified reviewers, approve reviewer-approved restored image sets linked to source files, and measure accepted restored images per review hour and corrections after delivery against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed output resolution and licensed source set; final color, likeness and authenticity checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve likeness, source attribution, authenticity and usage permissions. Rights holders approve substantive changes and publication scope. One fixed output resolution and licensed source set; final color, likeness and authenticity checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed output resolution and licensed source set; final color, likeness and authenticity checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: detect blur, noise and low resolution in supplied images; apply AI enhancement with adjustable intensity. Support the third module with operator review: clarify faces and recover facial details. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Customer-owned image libraries, authorized archives and permitted research sources. Cloud asset storage, design-file import/export and publishing destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Source intake and settings, Editable enhancement preview, Client proof and delivery. Use a thumbnail gallery for batches, a large central comparison canvas, and a right-hand panel for settings, constraints and comments. Let users compare before and after side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant image. Make the task-specific outcome reviewer-approved restored image sets linked to source files visible beside its evidence, review state and value baseline.
