How to recognize a font from an image: a selection of useful services

How to recognize a font from an image: a selection of useful services
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9min.

Have you ever come across a stylish font but have no idea what it’s called? No problem! We’re going to show you how to identify a font from an image and demonstrate how it works. And in the end – some useful life hacks for business.

Why might you need font recognition?

The visual component plays a key role in brand recognition. A font is not just text, but a part of the company’s identity. Together with the logo, colors, and other graphic elements, it forms the overall style. But why would you need to find a font? Here are a few reasons:

Ideas for branding

Not all companies can afford to develop a unique font. Often, small businesses use free typefaces from open libraries. If you find an attractive font on a banner or in an advertisement, you need to make sure that it is available for use. To do this, it is enough to determine its name and check whether it is copyrighted.

Maintaining visual integrity

There are situations when you need to adapt an old design to new platforms. For example, you may need to transfer an advertisement from a magazine to social media. In such cases, it is important to keep the style and use the same font.

Competitor analysis

If you are just developing a corporate identity, you should pay attention to what fonts your competitors use. Why these particular typefaces? How do they affect brand perception? Defining the font will help you understand and make the right choice.

Understanding what font is used is only the first step. It’s also important to integrate it into the design correctly so that it harmonizes with other elements and emphasizes the company’s style.

To create a holistic brand image, you can use professional tools. For example, the SendPulse platform has a large library of fonts that can be used to customize subscription forms. And in the SendPulse Site Builder, you can even upload your own font and make your project as unique as possible.

How font recognition services work: in simple words

Online font detection tools combine the magic of computer vision with huge databases. Each service has its own nuances, but the general algorithm is similar. Let’s see what’s going on behind the scenes.

1. Uploading an image

The first step is to add an image with text. The better the quality, the more accurate the result. If the photo is blurry or the letters merge, the system may make a mistake.

2. Pre-processing

The program “cleans” the picture: removes unnecessary details – background, patterns, lines. This is necessary so that only the text remains, which can be analyzed.

3. Font analysis

Here, the algorithm carefully examines each letter and evaluates it:

  • its shape, height, and width;
  • whether there are serifs (small tails on the edges of letters);
  • how closely the letters are spaced (kerning);
  • the thickness of the lines and their proportions.

Based on these parameters, a unique “fingerprint” of the font is created.

4. Search in the database

The service compares the obtained characteristics with a huge collection of fonts. This is where neural networks or matching algorithms come into play. The database contains both popular variants (for example, Arial) and rare author’s typefaces. Some services even suggest where you can download the found font for free.

5. Results

After processing, the system displays a list of similar fonts. The results usually contain:

  • exact or closest name;
  • information about the license (free or paid);
  • Link to download or purchase;
  • a list of alternatives if there is no perfect match

6. Useful tips

Some services even suggest where the found font is best used – in printed materials or web design.

What can go wrong?

Even the smartest algorithms have limitations:

  • if the image is of poor quality, the result will be inaccurate;
  • If the letters are too densely spaced, the system may mistake them for a single character;
  • If the font is unique or heavily modified, the service may not find an exact match.

Verdict: Although these tools are powerful, they’re not perfect. But you can help them by using high-quality images for analysis!

What should an image look like?

To get a high-quality analysis, it is important to choose the right source material. Here is what you need to consider:

  • High resolution – from 300 DPI and above. The text should be clear, without blurring or pixelation.
  • Contrast – black text on a white background works best. Minimal patterns, textures, or complex background elements.
  • No unnecessary overlaps – the text should be completely open, without overlapping elements, curvatures, or slopes.
  • The bigger the better – the larger the font, the easier it is to recognize.
  • Without gradients, shadows and textures – such effects only complicate the processing process.
  • Single font – if several fonts are used in the image, crop the excess, leaving only the desired fragment.

What images are not suitable?

  • Blurry photos of banners taken on a phone.
  • Screenshots with text on a complex background.
  • Pictures where the text is too small or has overlapping effects.

File formats

  • PNG and JPEG are the best choice as they are supported by all services.
  • Some tools also work with SVG if you’re talking about vector text.

Font detection services: testing popular tools

Let’s try to check how effective font recognition services are. For the test, we have prepared an image with an inscription written in the Caveat font, which is one of the handwriting fonts included in the standard Google Fonts set. It’s not an easy task because handwriting fonts are harder to identify.

WhatTheFont

This service is owned by MyFonts Inc. one of the largest font providers in the world. It is considered to be one of the most accurate because it has a huge database. It’s easy to use: you upload an image and get options for similar fonts.

However, the service failed to cope with the Cyrillic alphabet. The proposed options did not match the original inscription.

It recognized the English text, but the options offered included only paid fonts, and none of them matched the original.

Matcherator

Another free service that allows you to upload images or insert a link to a picture. There are simple editing tools: you can crop the image, change its scale, or rotate it.

Matcherator could not recognize Cyrillic letters. It offered 32 variants of similar fonts, but there was no correct one among them.

The situation with the English inscription is similar: three dozen variants and not a single exact match.

WhatFontIs

If the original font is paid, the service offers free alternatives. You can also set up a filter to see only free options. However, there is a caveat: the service requires registration, and if you have an ad blocker enabled, you will have to disable it, otherwise the analysis will not start.

Despite these inconveniences, WhatFontIs did the best job: it recognized the Cyrillic text and even found the original font among the proposed options.

The English text was even easier: the service correctly identified the font, and it was already on the second position in the list of results.

Font Squirrel Matcherator

This service specializes in finding free fonts. It processes images quickly and supports various file formats.

However, it couldn’t cope with Cyrillic – it offered only similar options, but not an exact match.

The situation with English text is similar: the service could not identify the original font, but only showed similar alternatives.

Experiment: ChatGPT

Since ChatGPT has the ability to analyze images, we decided to check whether it could recognize the font.

As expected, it failed to recognize Cyrillic.

The result with the English text was also unsuccessful: the system was able to read the text itself, but could not identify the font – instead, it recommended using specialized services.

Conclusions

It is possible to detect a font using a special service, but it is not a given that you will be satisfied with the result. That’s why you shouldn’t limit yourself to one method: combine different tools, consult with professionals, and look for answers in design communities. Recognition accuracy directly depends on the quality of the image, so don’t ignore this point. And, of course, respect copyrights – if you use open-source fonts, don’t forget to mention the name of their author.

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