AI app for creatives · no coding needed
Managed raster-to-vector production workbench
Reduce manual vector cleanup while preserving the artwork's intended shapes and colors.
Made for: Design teams and print or signage producers converting raster artwork into scalable vector files
What it does for you
The problem
Raster artwork must be converted to clean scalable vectors, but separate conversion, cleanup, upscaling and background tools force manual handoffs and inconsistent output.
What it gives you
Reviewer-approved vector files linked to production proofs
What you give it
Licensed raster imagesbrand color referencesoutput specificationsreview constraints
Build your own version of Vectorizer, Vectorizer.AI and more
One app with what these 3 AI tools do, yours to keep and change: Vectorizer, Vectorizer.AI, Ceacle Tools For Images.
Everything these tools do, in one app
- Raster to vector conversion Transforms pixel-based images into scalable vector graphics.Found in Vectorizer, Vectorizer.AI, Ceacle Tools For Images
- Multiple input formats Accepts various raster image formats such as PNG, BMP, and JPEG.Found in Vectorizer, Vectorizer.AI
- Multiple output formats Exports vector graphics in formats like SVG, EPS, DXF, PDF, and PNG.Found in Vectorizer, Vectorizer.AI
- Geometric shape conversion Analyzes pixel data and converts it into geometric shapes like lines, curves, and circles.Found in Vectorizer, Vectorizer.AI
- Quality preservation on scaling Keeps images clear and crisp when scaled or rotated.Found in Vectorizer, Vectorizer.AI
- User tutorials and guides Provides tutorials and quick start tips to help users navigate the tool.Found in Vectorizer
- High-performance processing Uses GPU and multi-core CPU to quickly analyze and convert images.Found in Vectorizer.AI
- Deep learning and algorithms Combines deep learning networks with classical algorithms for accurate vectorization.Found in Vectorizer.AI
- Full color and alpha support Supports full 32-bit color including an alpha channel to retain vibrancy and detail.Found in Vectorizer.AI
- Bezier curve support Handles quadratic and cubic Bezier curves for smooth vector output.Found in Vectorizer.AI
- Symmetry modeling Models symmetry to improve vector accuracy.Found in Vectorizer.AI
- Corner and boundary optimization Optimizes corners and boundaries to produce smoother, more natural vectors.Found in Vectorizer.AI
- Adaptive simplification Reduces unnecessary complexity in the vector output.Found in Vectorizer.AI
- AI-driven upscaling Improves image resolution without losing quality.Found in Ceacle Tools For Images
- Background manipulation Removes or replaces image backgrounds.Found in Ceacle Tools For Images
- Batch editing Processes multiple images simultaneously.Found in Ceacle Tools For Images
- Operation chaining Automates workflows by chaining multiple editing operations.Found in Ceacle Tools For Images
How it works, step by step
- Convert raster images into scalable vector graphics
- Accept PNG, BMP and JPEG inputs
- Export SVG, EPS, DXF, PDF and PNG
- Convert pixel data into lines, curves and circles
- Preserve quality on scaling and rotation
- Show tutorials and quick start tips
- Use GPU and multi-core CPU for fast conversion
- Combine deep learning with classical vectorization algorithms
- Support full 32-bit color with alpha
- Handle quadratic and cubic Bezier curves
- Model symmetry to improve accuracy
- Optimize corners and boundaries
- Apply adaptive simplification
- Upscale images without losing quality
- Remove or replace backgrounds
- Process multiple images in batch
- Chain editing operations into automated workflows
- 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 vector file 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 raster-to-vector production 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 Managed raster-to-vector production 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 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 vector cleanup while preserving the artwork's intended shapes and colors. For design teams and print or signage producers converting raster artwork into scalable vector files, convert licensed raster images, brand color references, output specifications and review constraints into reviewer-approved vector files linked to production proofs. The benefit is a testable hypothesis, measured through accepted vector files per production hour and corrections after output approval; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed raster images, brand color references, output specifications and review constraints, then follow this sequence: 1. Convert raster images into scalable vector graphics. 2. Accept PNG, BMP and JPEG inputs. 3. Export SVG, EPS, DXF, PDF and PNG. 4. Convert pixel data into lines, curves and circles. 5. Preserve quality on scaling and rotation. 6. Show tutorials and quick start tips. 7. Use GPU and multi-core CPU for fast conversion. 8. Combine deep learning with classical vectorization algorithms. 9. Support full 32-bit color with alpha. 10. Handle quadratic and cubic Bezier curves. 11. Model symmetry to improve accuracy. 12. Optimize corners and boundaries. 13. Apply adaptive simplification. 14. Upscale images without losing quality. 15. Remove or replace backgrounds. 16. Process multiple images in batch. 17. Chain editing operations into automated workflows. Resolve uncertain cases with qualified reviewers, approve reviewer-approved vector files linked to production proofs, and measure accepted vector files per production hour and corrections after output approval against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the 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 specification and licensed asset set; final vector cleanup and print checks remain production. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve artwork integrity, source attribution, color accuracy and usage permissions. Designers approve substantive changes and production scope. One fixed output specification and licensed asset set; final vector cleanup and print checks remain production. 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 specification and licensed asset set; final vector cleanup and print checks remain production. Implement one approved input format, a bounded representative case set and the first two task modules: convert raster images into scalable vector graphics; accept PNG, BMP and JPEG inputs. Support the third module with operator review: export SVG, EPS, DXF, PDF and PNG. 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 raster assets, brand color references and permitted research sources. Cloud asset storage, design-file import/export and print or signage 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: Job intake and references, Editable vector preview, Client proof and delivery. Use a thumbnail gallery for jobs, a large central vector canvas, and a right-hand panel for references, constraints and comments. Let users compare raster and vector versions side by side. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant path or region. Make the task-specific outcome reviewer-approved vector files linked to production proofs visible beside its evidence, review state and value baseline.
