Used this tool? Rate it
Used this tool? Rate it
Vectorizer.AI is a browser-based service that converts raster images into true vector artwork. You upload a PNG, JPG, GIF, BMP or WebP file, and it returns editable geometry as SVG, PDF, EPS or DXF — plus a "cleaned up" PNG pixel output if you want the tidied raster instead. The site describes its scope plainly: vectorize PNG, JPG, GIF, and WebP images to clean SVG, PDF, EPS, and DXF vectors online, with AI-powered tracing aimed at logos, illustrations, print, web, CAD, CNC, and design workflows.
The distinction that matters most when you first encounter the tool is the one between vectorizing and generating. Vectorizer.AI does not invent artwork from a text prompt. It takes an image you already have and reconstructs the shapes inside it as geometry. That is a fundamentally different job from the AI vector generators that have appeared in recent years, and it is also different from simply putting a bitmap inside a vector container. The official FAQ is unusually direct about that second confusion: vector files can also just contain copies of bitmaps inside of them, and putting a bitmap into a vector file is called embedding — some services just embed, but Vectorizer.AI does actual vectorization. If a converter hands you an SVG whose file size scales with the pixel count and which blurs when you zoom in, you were sold an embed.
The service is owned and operated by a named legal entity rather than an anonymous domain. The terms of use state that Vectorizer.AI is owned and operated by Cedar Lake Ventures, Inc., which is why the legal text refers to Cedar Lake Ventures throughout and to Vectorizer.AI only rarely. The About page identifies the company as a small business in the Minneapolis area that develops, owns, and operates a portfolio of web sites, interactive web-based tools, desktop software, and web APIs, and publishes a physical address in Excelsior, Minnesota along with a voicemail number. For a category crowded with thin affiliate wrappers, that level of disclosure is a meaningful signal.
The technical lineage is equally traceable. The About page names the two technical founders and their backgrounds — James Diebel holds a master's and Ph.D. in Aeronautics and Astronautics from Stanford University, and Jacob Norda holds a master's in Electrical Engineering and Applied Physics from Linköping Institute of Technology — and states that Diebel started the research project that led to Vector Magic, the company's first website, as a graduate student at Stanford. Vector Magic and Vectorizer.AI are therefore successive generations of work by the same team rather than competitors: the company's own product list describes Vector Magic as bitmap to vector conversion and Vectorizer.AI as a deep learning based pixel to vector tracer.
That history informs how the company frames the engine. The homepage claims fifteen years of experience in the field, and says the deep learning networks and classical algorithms together form the core functionality, with the AI networks trained from scratch on the company's own proprietary dataset. Treat the fifteen-year figure and the proprietary-dataset claim as vendor statements — they are not independently audited — but note that they are consistent with the publicly documented Vector Magic lineage rather than being a bare marketing assertion.
Naming the operator is not a formality in this category. When you upload artwork to a converter, you are handing a third party a file you may not own outright, and you are relying on that party's retention and licensing terms. A service that publishes a corporate name, a street address, founder biographies and a dated set of policies gives you something to evaluate and, if necessary, something to hold accountable. Later in this page the retention and model-training terms are examined closely, and several of them deserve scrutiny — but they are at least legible, which is more than many competitors offer.
The foundational feature is the one described above: the output contains geometry, not pixel data. A vectorized result can be scaled to any resolution without blurring, recolored shape by shape, and fed into processes that require paths rather than rasters — cutting, engraving, embroidery, screen printing.
Most tracers approximate everything with cubic Bézier curves. Vectorizer.AI goes further. The site states that, going beyond simple Bezier curves, it fits complex whole geometric shapes where possible to get a perfect fit and unmatched consistency, supporting fully parameterized circles, ellipses, rounded rectangles, and stars, all with optionally rounded corners and arbitrary rotation angles. The practical payoff is downstream editability: a circle that arrives as a real circle can be resized numerically, while a circle approximated by four Bézier segments cannot.
This is one of the few marketing claims in the category that has been independently checked. In a review published by CreativePro, a design-industry publication, the tester uploaded a scene containing star, rectangle and ellipse shapes plus a symmetrical cloud icon, then opened the resulting SVG in Illustrator. The ellipse and rectangle shapes were fully recognized and labeled correctly in the Layers panel, giving access to Illustrator's shape controls and corner widgets, and the rounded rectangle and a randomly rotated ellipse were also properly detected. The same review notes an honest exception: the star shapes did not get labeled as stars in Illustrator, though their geometry came through correctly.
Where whole shapes do not apply, the engine still uses a richer vocabulary than most. Shapes can be built from straight lines, circular arcs, elliptical arcs, and quadratic and cubic Bézier curves; the site points out that most vector graphics software simplifies everything down to cubic Béziers, calling that a convenient but limited approximation. Arcs matter for technical artwork, where an approximated arc accumulates visible error under scaling.
The engine detects and models mirror and rotational symmetries to produce more accurate and more consistent results. It also applies adaptive simplification: not all boundaries between shapes in raster images are equally well supported by the pixel data, so faint and indistinct boundaries are automatically simplified to reduce output complexity. This is the difference between a tracer that faithfully reproduces JPEG noise as hundreds of spurious paths and one that recognizes noise as noise.
Color reduction is where most tracing jobs are won or lost, and it is where reviewers single this tool out. The system automatically detects the number of palette colors present in the input, and you can adjust the palette size if that detection is wrong or if you simply prefer a different number of colors. The CreativePro reviewer called the interactive Palette Preview interface easily their favorite feature when testing, noting you can choose the exact number of colors for the final file and that a full-featured color picker gives control over which colors get merged or split, as well as the ability to edit individual colors or groups.
The engine claims to tease out features that are less than a pixel wide and to place boundaries according to the anti-aliasing pixel values. It supports full 32-bit color including the alpha channel, which the site says was incorporated as a first-class concept right from the start, so partially transparent areas and anti-aliasing are handled rather than flattened.
Output organization is a genuine differentiator. Per the CreativePro review, the grouping modes offer options lacking in other tools, such as grouping traced elements by color and grouping objects by parent element — so when a shape is fully contained by another shape, the spots or texture elements inside the parent can be grouped automatically. Anyone who has manually selected two hundred polka dots in Illustrator will recognize the time saved.
A small feature that solves a disproportionately annoying problem. When two shapes have exactly coincident boundaries, many vector renderers draw a thin white line between them. The documentation frames this as a defect in those renderers that shows no sign of going away, and describes the workaround: the Gap Filler draws a narrow line underneath the boundary between the two shapes, colored as the average of the two shapes' colors, which prevents the background from showing through.
The documentation explains the underlying data model rather than hiding it. Vector images are made of shapes composed of non-self-intersecting loops; each shape has exactly one positive loop defining the filled area and may have negative loops representing cut-outs, which must be fully enclosed by the positive loop and must not touch each other. Understanding this makes the export options far less mysterious.
Because Illustrator handles certain SVG constructs poorly, there is a dedicated escape hatch: the Adobe option exports SVG 1.1 while limiting curves to the forms Adobe products import most reliably, using only lines and cubic Bézier curves so imported artwork remains easier to edit.
No parameter tuning is required to get a result — the site states plainly that no user input is required to produce the result — and you inspect a full, interactive preview before deciding whether to download.
Logo recovery. The most common job: a client sends a 400-pixel PNG of their logo and needs it on a vehicle wrap. Whole-shape fitting and symmetry detection matter enormously here, because logos are built from exactly the primitives the engine models explicitly.
Print production and print-on-demand. Vector artwork is required or strongly preferred for screen printing, and file size stays small regardless of output dimensions.
Embroidery and vinyl cutting. These processes need paths, not pixels. The stroke options are directly relevant: the CreativePro review highlights the ability to switch from filled shapes to stroked outlines and to set stroke width and color, noting this saves cleanup steps when tracing hand-drawn doodles for one-color applications like vinyl cutting or laser engraving.
Laser engraving and CNC. DXF output feeds fabrication toolchains directly.
Web and high-DPI interfaces. SVG scales cleanly across device pixel ratios and typically weighs less than the raster equivalents it replaces.
Product and asset pipelines at volume. This is what the API exists for — marketplaces that accept user-uploaded artwork and must normalize it into vectors without a human in the loop.
Design cleanup of AI-generated images. The FAQ notes that AI-generated images have become a popular input category, and that the team has been pleased with how the algorithm handles them. Modern image generators produce raster output; vectorizing it is a common follow-up step.
There is a resolution ceiling, so the site provides a pre-crop step: only the cropped area counts against your resolution limit, which lets you maximize the quality of the result on the region you actually care about. If you have a 12-megapixel photo of a logo on a t-shirt, crop to the logo rather than letting the whole frame be downscaled.
Graphic designers and studios handling client-supplied raster logos — the core audience, and the one for whom the flat monthly Web App price is easiest to justify.
Print shops, embroiderers and sign makers who receive customer artwork in whatever format the customer happens to have.
Makers running laser cutters and CNC machines who need DXF paths.
E-commerce and merchandise sellers preparing artwork that must reproduce at multiple sizes.
Developers and product teams integrating vectorization into an application. The free test mode means you can build and validate the integration before committing money.
Occasional users are a weaker fit. There is no free production tier. If you need two logos vectorized per year, a month of subscription for a single job is a poor deal, and this is the most common source of user frustration with the product.
The Web App requires nothing beyond a browser — the site states that no software installation is required and everything runs directly in the browser. Input formats are PNG, JPG, GIF, BMP and WebP; output formats are SVG, EPS, DXF and PDF, plus cleaned-up PNG. The reviewer independently confirmed the tool is entirely web-based with nothing to install, update, or configure.
For automation there are three documented paths — official SDKs for application code, a CLI for terminals, scripts and batch jobs, and the HTTP API for custom integrations — plus an OpenAPI 3.0 specification for generated clients. SDK coverage spans TypeScript/JavaScript, Java, C#/.NET, Go, PHP and Ruby, with the Python SDK described as prepared and pending PyPI approval. The CLI is a standalone tool for Windows, macOS and Linux, useful for shell scripts, local folders of artwork, CI jobs and one-off terminal workflows.
The API surface is small and stable: POST /api/v1/vectorize, POST /api/v1/download, POST /api/v1/delete and GET /api/v1/account, authenticated with HTTP Basic auth using an API Id and API Secret. The documentation is explicit that SDKs, CLI and direct calls hit the same engine with the same pricing and output options, so the choice is purely ergonomic.
The interface is localized into fifteen languages, including German, Spanish, French, Hindi, Indonesian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Thai, Turkish and Vietnamese. Support, however, is not: the support page states that staff currently only speak English and will use machine translation for both your message and their reply.
There is no free production tier. Pricing splits cleanly in two.
Web App — $9.99 per month, billed monthly and cancellable anytime, for unlimited web image processing. The plan explicitly does not include API access. The CreativePro review independently confirms this price point.
API — usage-based credits, where one credit equals one API image. Published tiers start at 50 credits for $9.99/month ($0.200 per credit) and scale to 1,000 credits for $139.99/month ($0.140 per credit) and 100,000 credits for $4,999.99/month ($0.050 per credit). Unused credits roll over up to 5× your monthly credits.
Finer-grained API charges are documented: testing costs 0.000 credits, a preview costs 0.200, a production vectorization costs 1.000, upgrading a preview to the production result costs 0.900, downloading an additional format costs 0.100, and storing a result beyond the free first day costs 0.010 per day. Integration and testing are free without a subscription via mode=test and mode=test_preview, though test output carries significant watermarking. Preview results are PNGs four times larger than the input with a discreet watermark, intended for showing end-users before they buy.
Terms worth reading before you subscribe. Payment is by major credit card or PayPal only — no purchase orders, no invoices — and there is no academic or non-profit pricing. Subscription fees are non-refundable, remaining credits are lost on cancellation, and subscriptions bill automatically until cancelled. On the positive side, cancellation is self-service: the pricing page states there are no hoops, catches, or strings attached, and you do not have to call to cancel.
The evaluation gap. You can upload freely and inspect previews, and you can download production files from the site's example gallery — but you cannot download a production file of your own image without paying. Whether that is reasonable or aggressive is a judgment call, and reviewers land on both sides of it; the criticism is quoted in the Limitations section below.
Vector Magic — the same company's earlier product. Useful context rather than a true alternative, since choosing it means choosing an older generation of the same lineage.
Adobe Illustrator Image Trace — bundled with a subscription many designers already hold. No per-tool cost if you have Illustrator, but a different quality profile and a settings model many find opaque.
Inkscape — free and open source, with tracing built in. The obvious choice when budget dominates and volume is low.
Other online converters — numerous, with quality varying enormously. The embedding-versus-vectorizing distinction is the first thing to test, and a free tool that embeds is worth nothing for production.
The honest summary: if you vectorize regularly, the monthly fee is small against the labor it removes; if you vectorize rarely, a free or already-owned tool is likely the rational choice.
Hard input ceilings. Maximum image size is 3 megapixels and maximum file size is 30 megabytes. High-resolution scans must be cropped or downscaled.
No centerline tracing. This is the most consequential technical limitation and the documentation states it directly: centerline tracing is not currently supported, so all stroked geometry gets represented as narrow filled shapes. For CAD drawings, charts and technical diagrams — exactly the inputs where you would expect stroked output — you get outlines of strokes rather than strokes. Verify this fits your downstream toolchain before committing.
No background removal. Confirmed by independent review; handle it upstream.
Format capability is uneven, and the docs say so. EPS is described as a legacy format that lacks support for grouping and transparency and has limited support for non-scaling strokes. Non-scaling strokes are ignored by Illustrator, and Adobe officially discourages their use in EPS and PDF, with tests against Illustrator 2023 showing significant defects — hence the recommendation to use them only in SVG, DXF and PNG.
API rate limiting is real. Batch jobs should start with at most 5 threads, adding 1 thread every 5 minutes, and anyone needing more than 100 concurrent threads is asked to make contact first. Exceeding limits returns 429 responses requiring linear backoff. Clients should also set an idle timeout of at least 180 seconds, because load spikes can push processing well beyond the usual few seconds.
Throttling frustrates some paying Web App users too. A Trustpilot reviewer who praised output quality — calling it maybe the best service for converting raster to vector — reported that the system frequently complains about going too fast even when converting one image at a time, saving, and loading the next, and quoted the site's own "High Performance" copy back against that experience. This is a first-hand paying-customer account, and it is worth weighing if your workflow is sequential and time-pressured.
The paywall placement draws criticism. A second Trustpilot reviewer described uploading, waiting through processing and previewing the result only to hit a paywall at the download button as a frustrating, outdated and aggressive tactic. Reasonable people differ on this, but you should know the shape of the funnel before you invest time in an evaluation.
Review sample sizes are too small for conclusions. The Trustpilot profile shows a 3.1 score from just 2 reviews, is unclaimed, and carries the platform's notice that the company has no history of asking for reviews so they may not be representative. Two reviews cannot support a quality judgment in either direction — this page cites their specific content as testimony, not their score as a rating. Attempts to retrieve G2 and Product Hunt listings were blocked on both direct and rendered-browser channels, so no additional review-platform data could be verified firsthand.
Output can be path-dense. Automated tracing of complex or gradient-heavy art produces many anchor points; if you plan to hand-edit the result, factor in cleanup.
You may not train models on the output. The FAQ prohibits using service output to train machine learning models including deep learning models, characterizing it as reverse engineering explicitly prohibited by the terms.
Support is English-only and machine-translated for other languages, by the site's own admission.
This section deserves particular care, because the published sources do not agree with each other and the discrepancy is material.
Three different retention statements exist. The homepage FAQ says uploaded images and results are retained for 24 hours and permanently deleted shortly thereafter, while noting the policy may change and does not require your affirmative consent to change. The terms of use say user submissions and associated results expire 2 weeks from upload, with deletion or retention after expiry at the company's sole discretion. The privacy policy says records not associated with an account are deleted or anonymized within a year of creation, while image processing records associated with an account are retained indefinitely. These are reported here in parallel rather than reconciled, because reconciling them would require assuming which document governs. If retention duration matters to your work — client confidentiality, unreleased artwork, regulated content — resolve it with the company in writing rather than relying on any single page.
Model training is a default, with a documented carve-out. The terms include a company model-training licence covering user submissions, resulting outputs and service telemetry, and state that user content may be retained and used for model training with no individual opt-out. However, the same section contains an explicit precedence rule: where a site publishes materials such as an FAQ or About page expressly stating that user content is not retained or not used for model training, those published statements govern that specific site — while adding that the company may modify those materials at any time without separate notice. So the homepage FAQ's 24-hour deletion statement appears to be exactly the kind of published statement that takes precedence, but its durability rests on a page the company can change unilaterally. Both halves of that are quoted here because presenting either alone would mislead.
Rights in your results are not claimed. The FAQ states the company does not claim any rights to the vectorized results and will not share your images with third parties unless you explicitly authorize it. This is the user-favorable half of the picture and sits alongside the training licence above.
Other terms of note. The privacy policy is structured per data category with a stated GDPR legal basis and retention rule for each, and notes account credentials are generally retained indefinitely for user convenience. The service is available only to corporations and individuals at least 18 years old. The terms carry an effective date of Oct 23, 2025 and reserve the right to modify terms at any time, placing the burden on you to check periodically. There is also a detailed automated-access section requiring compliance with robots.txt and content signals including ai-train=no.
None of this is unusual for a commercial SaaS product, and the per-category GDPR structure is better than many. The retention inconsistency, however, is a genuine documentation defect rather than a stylistic quibble, and users with confidentiality obligations should treat it as an open question.
Not for production output. You can upload images and inspect interactive previews without paying, and you can download finished vector files from the site's own example gallery at no cost to test software compatibility. But downloading a production result of your own image requires a subscription — $9.99 per month for unlimited Web App use. API integration and testing are free without a subscription, though test output is heavily watermarked.
The company states it does not claim any rights to the vectorized results and will not share your images with third parties unless you explicitly authorize it. The separate question is whether you hold rights in the input — vectorizing a logo you do not own does not grant you rights to it. One explicit restriction does apply to the output: you may not use it to train machine learning models, which the terms treat as prohibited reverse engineering.
Input: PNG, JPG, GIF, BMP and WebP. Output: SVG, EPS, DXF and PDF, plus a cleaned-up PNG raster. Hard limits are 3 megapixels and 30 megabytes per image.
Three practical differences. It fits whole parameterized shapes — circles, ellipses, rounded rectangles, stars — where a generic tracer emits Bézier approximations. It uses a wider curve vocabulary including circular and elliptical arcs. And it detects mirror and rotational symmetry. Independent testing in CreativePro confirmed that ellipses and rectangles arrived in Illustrator correctly recognized and labeled. The trade-off is that it is a paid web service rather than something bundled with software you may already own.
No. The documentation states centerline tracing is not currently supported, so stroked geometry in CAD drawings, charts and technical diagrams comes out as narrow filled shapes rather than strokes. If your downstream process requires true centerlines, this is a blocking limitation.
No. Independent review confirms background removal is not available; remove or alter the background in another application first if your image needs it.
The published sources disagree. The homepage FAQ says 24 hours; the terms of use say 2 weeks; the privacy policy says records tied to an account are retained indefinitely and untied records are deleted or anonymized within a year. Because these conflict, anyone with confidentiality requirements should get written clarification rather than relying on one page.
The terms include a model-training licence with no individual opt-out as the default. However, the same terms state that where a site's published materials — such as its FAQ — expressly say content is not retained or used for training, those statements govern that site, and this site's FAQ states 24-hour deletion. The terms also allow the company to modify those materials at any time without separate notice, so the carve-out is real but not permanently guaranteed.
You receive 429 Too Many Requests responses and should apply linear backoff — 5 seconds after the first, 10 after the second, 15 after the third — resetting after a success and backing off per thread. To avoid triggering limits, start batch jobs with at most 5 threads and add 1 every 5 minutes; contact the company before exceeding 100 concurrent threads.
Yes. Cancellation is self-service from the account page, with the pricing page stating there are no hoops, catches, or strings attached and no need to call. Note that fees are non-refundable and any remaining API credits are lost on cancellation.