AI app for product development · no coding needed
Image-to-3D production and review workbench
Reduce tool sprawl and manual mesh cleanup while keeping one reviewed 3D asset pipeline.
Made for: Product teams, industrial designers and small studios turning photos, sketches or scans into production-ready 3D assets
What it does for you
The problem
2D references, sketches and scans are scattered across several rented tools, and the resulting meshes need manual cleanup before CAD, AR/VR or printing.
What it gives you
Reviewer-approved 3D models linked to source references
What you give it
Licensed imagessketchesscan datatext briefsCAD constraints
Build your own version of Instant3d.ai, Modelify and more
One app with what these 8 AI tools do, yours to keep and change: Instant3d.ai, Modelify, 2dto3D, Shapen, Kaedim, VisionAR - Create 3D Models with AI, Backflip AI, 3D Bust Maker.
Everything these tools do, in one app
- 2D image to 3D model Converts a 2D image into a 3D model.Found in Instant3d.ai, 2dto3D, Kaedim and 3 more
- Sketch to 3D model Turns a rough sketch into a 3D model.Found in VisionAR - Create 3D Models with AI, Backflip AI
- Text to 3D model Generates a 3D model from a text description.Found in Backflip AI
- 3D scan to CAD Transforms 3D scan data into parametric CAD models.Found in Backflip AI
- Multiple image support Accepts multiple images as input to improve model accuracy.Found in VisionAR - Create 3D Models with AI
- Single photo input Creates a 3D model from just one photo.Found in 3D Bust Maker
- Multi-view generation Generates multiple view angles to enhance model accuracy.Found in 2dto3D
- Automatic texturing Automatically applies textures to the generated 3D model.Found in Kaedim
- Texture preservation Keeps patterns and logos from the original image intact on the model.Found in 2dto3D
- Clean geometry Produces 3D models with minimal artifacts and intact geometry.Found in 2dto3D
- End-to-end pipeline Provides a complete process including geometry creation, optimization, rigging, and levels of detail.Found in Kaedim
- Manual refinement Includes a manual review step to refine the generated models to optimal quality.Found in Kaedim
- Fast processing Delivers finished 3D models quickly, often within minutes.Found in Instant3d.ai, VisionAR - Create 3D Models with AI, 3D Bust Maker
- Multiple export formats Supports various file formats for output.Found in Instant3d.ai, Backflip AI
- GLB export Exports models in GLB format compatible with popular 3D software.Found in VisionAR - Create 3D Models with AI
- 3D printing ready Outputs files that are ready for 3D printing.Found in 3D Bust Maker
- CAD format support Supports parametric CAD formats like .SLDPRT and .STEP.Found in Backflip AI
- User-friendly interface Provides an intuitive interface suitable for beginners and professionals.Found in Instant3d.ai
- Integration with design tools Integrates with popular design and development workflows.Found in Instant3d.ai, Kaedim
- AR/VR optimization Optimizes models for product visualization and AR/VR projects.Found in 2dto3D
How it works, step by step
- Convert a 2D image into a 3D model
- Turn a rough sketch into a 3D model
- Generate a 3D model from a text description
- Transform 3D scan data into parametric CAD models
- Accept multiple images to improve accuracy
- Create a model from a single photo
- Generate multiple view angles to enhance accuracy
- Apply textures automatically
- Preserve patterns and logos from the original image
- Produce clean geometry with minimal artifacts
- Run an end-to-end pipeline covering geometry, optimization, rigging and levels of detail
- Include a manual refinement step to reach optimal quality
- Deliver finished models quickly
- Export multiple file formats
- Export GLB for popular 3D software
- Output files ready for 3D printing
- Support parametric CAD formats such as .SLDPRT and .STEP
- Provide an interface usable by beginners and professionals
- Integrate with design and development workflows
- Optimize models for product visualization and AR/VR
- 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 3D model linked to source references with 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 Image-to-3D production and review workbench 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 Image-to-3D production and review workbench 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 links4 KB
- questions.mdQuestions to answer before you build3 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare26 KB
- prompt-vps.mdThe same build on your own server (Docker)26 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 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 tool sprawl and manual mesh cleanup while keeping one reviewed 3D asset pipeline. For product teams, industrial designers and small studios turning photos, sketches or scans into production-ready 3D assets, convert licensed images, sketches, scan data, text briefs and CAD constraints into reviewer-approved 3D models linked to source references. The benefit is a testable hypothesis, measured through accepted models per production hour and corrections after model approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed images, sketches, scan data, text briefs and CAD constraints, then follow this sequence: 1. Convert a 2D image into a 3D model. 2. Turn a rough sketch into a 3D model. 3. Generate a 3D model from a text description. 4. Transform 3D scan data into parametric CAD models. 5. Accept multiple images to improve accuracy. 6. Create a model from a single photo. 7. Generate multiple view angles to enhance accuracy. 8. Apply textures automatically. 9. Preserve patterns and logos from the original image. 10. Produce clean geometry with minimal artifacts. 11. Run an end-to-end pipeline covering geometry, optimization, rigging and levels of detail. 12. Include a manual refinement step to reach optimal quality. 13. Deliver finished models quickly. 14. Export multiple file formats. 15. Export GLB for popular 3D software. 16. Output files ready for 3D printing. 17. Support parametric CAD formats such as .SLDPRT and .STEP. 18. Provide an interface usable by beginners and professionals. 19. Integrate with design and development workflows. 20. Optimize models for product visualization and AR/VR. Resolve uncertain cases with qualified reviewers, approve reviewer-approved 3D models linked to source references, and measure accepted models per production hour and corrections after model approval 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 asset class and licensed source set; final geometry, tolerance and manufacturability checks remain engineering. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve source attribution, texture and logo rights, and usage permissions. Engineers approve substantive geometry changes and production scope. One fixed asset class and licensed source set; final geometry, tolerance and manufacturability checks remain engineering. 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 asset class and licensed source set; final geometry, tolerance and manufacturability checks remain engineering. Implement one approved input format, a bounded representative case set and the first two task modules: convert a 2D image into a 3D model; turn a rough sketch into a 3D model. Support the third module with operator review: generate a 3D model from a text description. 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
Buyer-owned images, sketches, scans and CAD files. 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 brief, Editable 3D preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central 3D viewport, and a right-hand panel for sources, constraints and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant asset. Make the task-specific outcome reviewer-approved 3D models linked to source references visible beside its evidence, review state and value baseline.
