AI-NATIVE VECTORIZATION
QuiverAI covers prompt-to-SVG generation and image-to-SVG vectorization, with an app, API, SDK, and agent workflows. PerfectVector narrows the task: upload existing artwork, inspect a protected vector preview, and unlock the finished SVG only when it fits your job.
or try by clicking an image
PerfectVector rebuilds your image as crisp, scalable vector art. Sharp at any size, anywhere.
Both products can turn a raster image into SVG. QuiverAI places that job inside a wider platform for generating and delivering vector graphics. PerfectVector concentrates on reconstructing and reviewing an image that already exists.
Decide where the file will go next and which edges, gaps, colors, transparency, and small details must survive.
Upload the cleanest source and inspect the protected preview. Vectorizing and preview are free and unlimited, so this check does not spend a credit.
Use the same source in QuiverAI if model choice, prompt-led creation, Gallery, sharing, API access, or an agent workflow belongs in the job.
Choose from the actual result and surrounding workflow. In PerfectVector, unlock the finished result for one credit only after the protected preview passes your check.
The research team continuously advancing PerfectVector's in-house vectorization engine
PerfectVector is developed in-house by Rastrix Inc. Its researchers bring 10+ years of combined research and industry experience in deep learning and computer vision.
Our researchers hold every vector to a high standard. They design new methods, review results, and continuously improve how PerfectVector reconstructs shapes, edges, colors, and fine detail.
This table compares current documented product jobs and workflows. It does not rank output quality, path structure, editability, or speed.
| Decision point | PerfectVector | QuiverAI |
|---|---|---|
| Primary job | Reconstruct an existing raster as vector paths through a dedicated upload, preview, unlock, and editor flow. | Generate SVGs from prompts or references and vectorize raster images within a wider AI-native vector platform. |
| Native vector creation | The public workflow starts from an uploaded image that already exists. | QuiverAI documents text-to-SVG generation with prompts and optional references alongside image-to-SVG vectorization. |
| Image vectorization workflow | Upload the source and judge a protected preview before unlocking the finished result. | The documented API offers model choice, optional auto-crop and resize, streaming, and sampling controls. |
| Automation and integrations | A focused browser route designed to hand the unlocked result to the production tool you already use. | QuiverAI publishes an API, Node.js SDK, MCP server, and agent-oriented integration paths. |
| Before committing | Vectorize and inspect protected previews for free with no usage limit. The first unlock of each finished result costs one credit; later downloads of that same unlocked result do not cost another credit. | QuiverAI currently lists a free plan with weekly app credits and basic SVG export. Check its current pricing page for model, credit, and export terms. |
| Best fit | An existing raster is the source of truth, the trace is the immediate job, and you want to decide from the preview. | Vector generation, model choice, app workflows, or developer integrations matter as much as the image-to-SVG step. |
Neither product is the universal choice. Use the same source, inspect the real SVG in its destination, and choose the workflow that removes the most work around the conversion.
We reviewed QuiverAI's current public site, product documentation, app workflow, image-to-SVG API guide, and pricing page, together with PerfectVector's current product contracts and Rastrix's public team description.
We did not complete a retained paired-output benchmark. This page compares documented product scope, workflow, access, and integration surfaces. It does not compare speed, fidelity, path or node counts, grouping, editability, cleanup time, or output quality.
PerfectVector is not affiliated with, endorsed by, or sponsored by QuiverAI. QuiverAI is named only to help visitors compare the overlapping raster-to-vector workflows.
I'd tried everything and been let down every time — I'd given up, figuring today's tech just couldn't do this. And you actually built it. If this is real, it's genuinely incredible.
It converts at even better quality than I expected — it preserves the character of the original better than anything else I've tried.
PerfectVector is impressively fast, and the output quality is already very good. With a bit more refinement it could easily compete with the leading tools.
Way more detailed than I expected. Opening Illustrator to convert every single time was such a chore — bookmarked.
Tried it — it's accurate. Simple images actually expose detail differences more than complex ones do, and this nails them.
No. QuiverAI is a broader vector AI platform with text-to-SVG generation, multiple models, an app, API, SDK, MCP server, and agent-oriented workflows. PerfectVector is an alternative only for the overlapping job of reconstructing an existing raster as vector paths.
Yes. QuiverAI's current documentation includes image-to-SVG vectorization in its app and API. Its API guide documents model choice, auto-crop, resize, streaming, and sampling controls.
Vectorizing and preview are always free and unlimited — you only spend a credit when you download a finished file.
Choose QuiverAI when you want to generate new SVGs from prompts or references, select between its current models, use its Gallery and sharing workflow, or connect vector creation to an API, SDK, MCP server, or agent.
This PerfectVector workflow starts from an uploaded image. It is not presented as a replacement for QuiverAI's prompt-to-SVG models. Use QuiverAI when creating a new vector from a prompt is the main job.
No. We did not complete a retained, repeated same-input benchmark across both products. This page compares their documented workflows and product boundaries, not speed or output quality.
Use the same source and destination requirement. Compare the silhouette, negative space, small details, colors, transparency, path structure, and behavior in the app where the SVG will actually be used.
PerfectVector is developed by Rastrix, a two-person team with PhD and master's training in deep learning and computer vision. The founders bring seven years of industry experience, have worked full time on the engine since November 2025, and develop the core vectorization algorithms and models in-house.
Vectorizing and preview are always free and unlimited — you only spend a credit when you download a finished file.
Unlimited vectorizing & preview
