Client context
Vectenza is client work. The product goal is practical: take raster images — logos, illustrations, scanned artwork — and produce SVG that people can edit, scale, and ship without tracing by hand.
Introfinity’s contribution sat across the hard middle of that product: the vectorizer engine, the HTTP service around it, and the Studio experience where users upload, tune, and download results. Details owned by the wider client team remain with the client; this page covers the systems work that can be described without exposing private implementation or credentials.
The product problem
Raster-to-vector tools fail in familiar ways. Colors fray at edges. Shapes gap or overlap. Curves become noisy. Output looks “vector” but is not useful for editing. A product that only demos a pretty conversion will not survive logo and illustration workflows.
Vectenza’s framing stayed stricter:
Turn PNG and JPEG into clean, editable SVG — not just a traced lookalike.
That required a pipeline users could tune, an API integrations could call, and a Studio where processing choices were visible instead of hidden behind a single “convert” button.
Architecture that kept concerns apart
The system was split so the conversion core stayed independent of product chrome:
- Engine — pure pipeline from image to document to SVG/PNG export; no HTTP knowledge
- API — uploads, limits, auth, credits, history, storage, and public
/v1routes for developer keys - Frontend — public landing pages plus a Studio for upload, tuning, and download
That separation mattered. Engine quality could be tested and compared without standing up the full product stack. The API could own tenancy and billing concerns without baking them into geometry code. The Studio could evolve UX without rewriting the vectorizer.
What the engine had to get right
The pipeline runs as an ordered sequence: load, optional denoise, quantize, region extraction, boundary tracing, curve fitting, document construction, fills and primitives, then export.
Two product-critical ideas showed up early:
- Shared boundaries — edges between regions are traced once and shared, so adjacent shapes do not gap or overlap
- Configurable processing — colors, curve tolerance, stacking, fills, and related options are explicit fields rather than hard-coded defaults
Quality work was not a vibe check. Fixture runs and harness metrics were used to compare engine changes before claiming improvement.
API and Studio as the product surface
Conversion alone is not a business. Vectenza needed:
- a Studio path for interactive vectorization
- account-aware history and credits where configured
- a stable public API for scripts and SDKs
- field names and constraints that stay coherent between CLI, API, and UI
The public API surface was designed as a versioned integration contract, while the engine remained the place where image-in / SVG-out quality lived.
What a customer can verify
After reading this page, a prospective client can verify that Introfinity has shipped client work across:
- graphics/engine pipelines with measurable quality loops
- FastAPI product services with auth, credits, and developer access
- Studio UX wired to real processing controls
- separation between core algorithms and commercial product surfaces
Status: Live at vectenza.com. Proprietary engine details, client-owned brand assets, and unpublished internal metrics stay with the client engagement.