Convert JPG to EPS Online
High quality, full-color, AI-powered vectorization.
Preview the vector result for free, then export with controls for curves, corners, and grouping.
High quality, full-color, AI-powered vectorization.
Preview the vector result for free, then export with controls for curves, corners, and grouping.
Use this converter when you need a real vector result that can be scaled, inspected, edited, and exported for professional design or production workflows.
JPG, also known as JPEG, is common but lossy, so source quality matters. For best results, use a high-resolution JPG with good contrast and minimal compression artifacts, especially for logos, sketches, and line art.
The output is an EPS vector file for legacy design, print, and programmatic workflows that still expect Encapsulated PostScript.
You can preview the vectorized result before downloading, zoom in to inspect details, and adjust export settings when your workflow needs a specific format version or structure.
JPG (also known as JPEG) is an extremely common, lossy¹ raster format for grayscale or color images that does not support transparency. JPG was designed for, and works best with, photographic content. Logos, icons, and other digital artwork with sharp boundaries between regions of constant or near-constant color usually do not look good when encoded as JPG. Ringing, blurriness, color distortions, mosquito noise, and other artifacts are common when encoding such images with JPG.
As a raster format, JPG encodes images as a uniform grid of pixels, each of which can be thought of as a small rectangle (usually a square) of a specified color. Taken together this grid of pixels looks like an image when viewed at its native size, but scaling a raster image to a larger size will result in a pixelated or blurry image.
¹ Lossy means that encoding an image and then decoding it again produces a result that is different from the original.
EPS is a legacy vector format that is rarely used. It has capabilities similar to PDF, but is not as widely supported.
It can be useful for legacy software that supports EPS but not either SVG or PDF. The subset of EPS language features that we use in our output is also very simple to decode, so it can be useful if your use case includes further programmatic processing of the results.
You can drag and drop your image onto the dashed box above, or click on it to open a file selection dialog.
Once your image is uploaded, the vectorization process will start automatically.
The vectorization process is performed on our high-performance servers, to quickly produce a high quality result.
Once the process is complete you will be shown the result in an interactive viewer capable of zooming and panning, so you can inspect it in detail before downloading.
When you are done reviewing you can click the 'Download' button to fetch your result to your computer.
We offer a wide variety of export options and formats, including EPS, that allow you to tailor the result to your specific needs.
Vectorizing an image is easy for the human eye, but surprisingly hard for the computer. Most software that tries to do it produces poor results, with glaring defects. Shapes can be introduced in the result that should not be there, such as anti-aliasing artifacts, or shapes can be missing that should be there, such as small and/or faint features. Even when the shapes are correct, the curves that define the shapes can be poorly chosen. In some cases, the curves simply don't follow the original image very well. In other cases, there are too many curves, or the curves that are present are poorly placed, don't connect with matching tangents when they should, or are represented using the wrong type of curve (e.g., using a quadratic bezier when an elliptical arc would be better).
Each step in the vectorization process is complex and there are many different algorithms that can be used. Many of our competitors use old and simple algorithms that do not produce good results. Some of them only support 2-color vectorization, which significantly limits their usefulness. The Vectorizer.AI vectorization engine is based on our own proprietary research and uses a combination of deep learning and other techniques to produce the best results. Curves are chosen carefully and optimized to fit the underlying image as closely as possible.
We also identify typical shapes like circles, ellipses, rectangles, stars, and triangles and represent them explicitly as such. This makes the results look better, and makes them easier to edit.
A common simplifying choice made when developing a vectorization algorithm is to only support two colors (e.g., black and white). Products built on top of such algorithms are significantly less useful and versatile than full-color vectorization systems. Other systems support more colors but only by repeatedly running a 2-color algorithm on each color separately.
In contrast, the Vectorizer.AI vectorization engine was built from the ground up to support full-color vectorization, including transparency and partial transparency. The Vector Graph underlying our system seamlessly maintains consistency between adjacent shape boundaries while allowing the system to optimize the result for the best possible quality.
Vectorization comes in two main flavors: reconstructive and inspirational.
Reconstructive vectorization is the process of converting a bitmap image that was once created by rasterizing a vector original, into a vector image that is as close as possible to the original. The goal is to reconstruct the original vector art. It is most useful on logos, icons, and other digital graphics where the original vector art is not available.
Inspirational vectorization converts a photograph, painting, or other other similar raster image into a vector image that is inspired by the original, but does not necessarily attempt to reconstruct it exactly. It is more about capturing some artistic essence or spirit of the original, than to reconstruct a platonic ideal.
Our primary focus is on reconstructive vectorization, but we of course also support inspirational.
Most vector formats support embedding raster images inside of them. Doing so creates a 'fake' vector file since it doesn't change the image's fundamental pixel nature. With such results you still can't do things like scale them to a larger size without loss of quality.
So when converting from JPG to EPS, it is very important to actually vectorize the image. This process involves detecting the shapes in the image, fitting curves to them, and exporting the result as a true vector file. The end result does not contain any pixel data and can be scaled to any size without loss of quality.
At Vectorizer.AI, we only do true vectorization.
Yes. Upload your JPG image, preview the vectorized result, and then download the EPS file.
Yes. We trace the image into geometric shapes and curves instead of just embedding the original pixels in a different file wrapper.
Our results follow the respective file format standards, and work with all standards-compliant readers.
That said, not all vector software is fully standards compliant. We therefore offer a host of download options that allow you to customize the output to maximize compatibility. For example, you can control the file format version, the types of curves that are used, and much more.
We also let you download the result from any of our example images for free so that you can try them out with your software before you buy.
Need another workflow? Try image to vector converter, PNG to vector converter, image to DXF converter, PNG to SVG converter, JPG to SVG converter, WebP to SVG converter, PNG to DXF converter, JPG to DXF converter.
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