Vectorizer AI could be the no-fuss tool you’ve been looking for to turn pixel-based images into scalable vectors. Let’s take a closer look at what it offers and how well it performs.
What is Vectorizer AI?
Vectorizer AI serves as a fully automated solution for converting raster image formats, including JPEGs, PNGs, BMPs, and GIFs, into high-quality vector formats like SVGs. Unlike traditional tools, Vectorizer AI excels in capturing complex elements of an image and translating them into smooth, natural vector shapes.
Features of Vectorizer AI
With a rich history spanning 15 years in the field, Vectorizer AI incorporates deep learning networks and classical algorithms that form its engine. The AI networks have been trained from the ground up, using Vectorizer AI’s exclusive dataset.
- Vectorizer AI leverages a unique computational geometry framework to conduct automated modifications and localized optimizations, capabilities not typically available in standard vector image tools. The platform goes beyond employing basic Bezier curves by fitting entire geometric shapes to achieve unparalleled consistency and a perfect fit. It supports a wide array of shapes such as circles, ellipses, rounded rectangles, and stars, all of which can be further customized with rounded corners and arbitrary rotation angles.
- In terms of the types of curves used, Vectorizer AI isn’t restricted to cubic Bezier curves like many of its counterparts. It embraces a full spectrum of curve types, applying them as necessary to provide a more natural result. The system places special emphasis on corners in the Vector Graph, analyzing and optimizing them to produce outputs that outshine traditional vectorizers.
- Efficiency is also a cornerstone of Vectorizer AI’s design. The platform is built to maximize the use of cutting-edge GPUs for deep learning and to deploy highly optimized, parallel classical algorithms on multi-core CPUs. This ensures users receive high-quality vectors without unnecessary delays.
- When it comes to detailing, Vectorizer AI stands out for its ability to identify features less than a pixel wide, taking into account anti-aliasing pixel values. The platform requires no user input to deliver these intricate details, making it fully automated and user-friendly.
- While initially created to handle logos and rasterized vector art, Vectorizer AI also performs exceptionally well with scanned sketches, hand-drawn artwork, and even photographs.
- The platform allows users to crop the specific areas of bitmaps they wish to vectorize, ensuring that only the cropped regions count against any resolution limits. This feature aids users in achieving the highest possible quality for their vectorized images.
- In terms of color support, Vectorizer AI is equipped to handle full 32-bit color, including the alpha channel. Partial transparency and anti-aliasing are supported without any compromises.
- Vectorizer AI also offers multiple output formats including SVG, PDF, EPS, DXF, and PNG. SVG remains the default and most versatile option, but users have extensive control over how shapes are grouped, drawn, and other format-specific settings thanks to its robust export options.
How does Vectorizer AI work?
To begin, simply select a bitmap image file such as a JPEG or PNG that you’d like to vectorize. Drag and drop the file onto the designated area on Vectorizer AI’s platform. These bitmap images are composed of pixels, tiny square elements that together create the complete image.
This tool’s servers are equipped with high-performance GPUs and multi-core CPUs to rigorously analyze these pixels. The aim is to transform them into geometric shapes, converting your bitmap into a scalable vector image. The advantage of vector images is that they can be enlarged or reduced to any size without losing their clarity, making them ideal for various applications like printing, cutting, and embroidery.
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Once the process is complete, the platform provides a comprehensive preview of the vectorized image. If you’re satisfied with the result, you can proceed to download it. During its Beta phase, downloads are free of charge. Currently, Vectorizer AI supports a wide range of output formats such as SVG, PDF, EPS, DXF, and PNG, with plans to include even more formats in the near future.
How to use Vectorizer AI step by step?
The process is very straightforward, follow these steps:
- Start by navigating to the official website of Vectorizer AI. This is where you’ll perform all the steps required to convert your image.
- Once you’re on the site, you’ll notice a designated area meant for uploading images. This is where you’ll drag and drop the bitmap image file that you’d like to vectorize, as you can see below.
- For the purposes of this guide, let’s say you have a random logo from Midjourney that you wish to upload. Simply drag and drop this image file into the upload zone on the Vectorizer AI site.
- After successfully uploading your image, the platform will begin the conversion process. You’ll need to wait a few moments for this to finish. The platform uses powerful GPUs and multi-core CPUs to ensure high-quality and speedy conversion.
- Once the process is complete, Vectorizer AI will display a preview of the vectorized image. You can scrutinize the details to ensure the conversion meets your expectations.
- If you are satisfied with the vectorized image, click on the “Download” button. This will lead you to a new screen where you can select various options such as file format and SVG version, among other settings.
- Depending on what you intend to use the vector image for, you can customize the settings from the options available. This might include choosing the file format you prefer, like SVG, PDF, EPS, DXF, or PNG.
- After making all necessary settings adjustments, click on the “Download” button to obtain your vectorized image.
And there you have it! You’ve successfully used Vectorizer AI to convert a bitmap image into a high-quality vector file, ready for whatever application you have in mind.
Are there customization features?
Vectorizer AI is engineered to offer high-quality automatic results, but it understands that user preferences may differ. Therefore, Vectorizer AI is working on adding customizable features, including the ability to control the number of colors in the output. Suggestions for other useful features are also welcome.
What are the limitations on image size and resolution?
Vectorizer AI sets a maximum pixel count for an image at 2 megapixels and a maximum file size of 30 megabytes.
Is transparency supported?
Yes, Vectorizer AI supports 32-bit ARGB input, accommodating both full and partial transparency.
How is the pricing structured?
During its beta phase, the platform is free to use. However, starting on September 15th, 2023, charges will apply for API users based on Vectorizer AI’s API subscription plans. Details are available on the API documentation page. Interactive web-based usage will continue to be free for an indefinite period.
Can the platform handle AI-generated images?
Indeed, AI-generated images form a popular category for Vectorizer AI, and the platform’s algorithm has demonstrated excellent performance with these types of images.
What is the difference between vectorizing and embedding?
Vectorizer AI distinguishes between the two. Vectorizing refers to the automated conversion of bitmap images into scalable vector graphics by detecting shapes and fitting curves. This process produces an end result that is free from pixel data and can be scaled infinitely without losing quality. Embedding, on the other hand, involves placing a copy of the bitmap image within a vector file without any conversion. While some services may only embed, Vectorizer AI focuses on genuine vectorization.
Why are vector images beneficial?
Vector images consist of geometric shapes that can be scaled infinitely without any quality loss. This makes them ideal for printed graphics, especially now that high-DPI screens are commonplace and browsers widely support SVG images. They are also necessary for specific printing techniques like laser engraving, vinyl cutting, and screen printing. Furthermore, vector images can be easily manipulated using a vector editor, unlike bitmaps, where pixel-level editing is cumbersome and prone to errors.
Do Vectorizer AI make any claims on the images or the vectorized outputs?
Vectorizer AI’s terms of service grant it the permissions required to provide the service and to improve its offerings. It does not claim any ownership over your vectorized results and won’t share your images with third parties unless you explicitly give permission. For more information, you can refer to Vectorizer AI’s Terms of Service.
What is Vectorizer AI’s data retention policy?
As of now, Vectorizer AI keeps images and their corresponding results for a duration of five days after upload, after which they are permanently deleted. Please note that this data retention policy is subject to change, and the platform reserves the right to modify it without requiring explicit consent from users.
Featured image credit: Kerem Gülen/Midjourney