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Online methods to identify fonts from images on computers and mobile phones
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Tecnoblog
tecnoblog.net

Online methods to identify fonts from images on computers and mobile phones

Font identifiers are crucial tools for professionals such as designers and writers, as well as for enthusiasts, who need to recognize typography present in graphic materials like flyers or covers. These digital platforms simplify the process, allowing for the submission of an image for quick and efficient analysis.

To identify a font from an image, simply access the respective platforms using a browser, whether on a mobile device or a computer. After uploading the visual elements, the system presents the exact names of the fonts, along with suggestions for alternatives.

Tecnoblog presents and details the use of three font identifier options to assist the user's daily routine.

What The Font is a practical identifier designed to search for typefaces through images, speeding up discovery by receiving photos or graphic pieces for immediate evaluation. To use it, you must open the browser on your phone or PC and access the address myfonts.com/pages/whatthefont. The user must then use the designated field to paste a link (URL) or click 'upload' to attach the file that will be processed by the font detector. It is necessary to mark the text segment whose font you wish to identify and subsequently click 'Identify fonts'. What The Font will return a list of typefaces similar to the submitted material, providing the name and creators of the font.

What Font Is functions as an online service dedicated to identifying fonts from images, helping to locate the typography of a character in just a few steps. Access is made through whatfontis.com in the mobile or PC browser. In the area marked 'Drag & Drop your image here', the user can insert the image URL or select the file from their gallery. After that, they must click 'Find the font' to start the search. The next step consists of selecting the text segment with the desired font and proceeding by clicking 'Next Step'. This service also offers suggestions for adjustments to facilitate identification, such as applying contrast or selecting specific characters. After following the instructions and clicking 'Next Step', the tool will present a list of fonts identical or similar to the submitted image. There is an option to download the file by clicking 'Download Now'.

FontToolbox is another online service that allows discovering fonts from images, offering quick identification of the typography in various visual files. The user must open the browser on their phone or PC and visit fonttoolbox.com. They should navigate the page to locate the section 'Drop an image here, or browse' to upload a photograph or drag the file to start the identification. After the image is uploaded, it is necessary to mark the words or letters whose fonts are intended to be recognized and then click 'Continue'. For greater accuracy, it is possible to select each character individually and click 'Continue' at the end of the page. A list of corresponding typefaces will be displayed, and the user can click 'View' next to the font to get more details.

It is important to note that the three services tested by Tecnoblog allow the download of the found typefaces. However, these may be available under free or paid licenses for accessing OTF, TTF, or WOFF formats. If the file is paid, it is recommended to write down the font name and search for it on specialized typography websites that have free online libraries, where royalty-free or similar versions can be found.

The downloaded fonts can be used in software such as Microsoft Word, LibreOffice, or Adobe Photoshop, provided that the typography files are installed on the computer, although this procedure varies depending on the operating system. On Windows, installation occurs via File Explorer or Microsoft Store. On macOS, it is necessary to access the 'Install Font' menu within Finder.

Regarding Canva, the font installation feature is restricted to Canva Pro subscribers, teams, educators, and non-profit organizations. The inclusion of new typefaces is done through the 'Brand Kit' functionality, selecting the 'Fonts' option for files in OTF, TTF, and WOFF formats.

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iPhone 18 Pro receives Apple Reference Image system to authenticate photo originality
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tecnoblog.net

iPhone 18 Pro receives Apple Reference Image system to authenticate photo originality

Apple has introduced a new technology designed to prove that a photograph was captured directly by the iPhone camera and has not undergone any subsequent alteration. This feature, called Apple Reference Image, was presented during the corporate event where the new Pro models and the unprecedented iPhone Duo, the brand's first foldable model, were launched this Wednesday, September 9th.

The company conceptualizes this system as a type of 'digital negative' of the image: at the exact moment of capture, the iPhone stores the data and generates a reference version that will be used to verify any future modifications.

This procedure involves recording the data of every pixel at the time of the photo. Initially, Apple Reference Image is an optional feature and is integrated into the hardware of the new iPhone 18 Pro, which are also equipped with a variable aperture mechanism in their main camera.

Apple Reference Image utilizes a redesigned sensor in the main camera. When the 'Reference' mode is activated, it collects the data of every pixel during capture and generates a digital signature. This record is then sent to Apple's Private Cloud Compute, which processes the data and builds the reference image.

With this functionality, the user can keep a copy that can later be compared with photos that may have been edited. This reference image will be displayed in the Photos app next to the finalized photograph.

Apple plans to extend this technology beyond its own ecosystem. As reported by the MacRumors portal, APIs will be made available in iOS 27, iPadOS 27, and macOS 27, allowing applications and social networks to access and validate these reference images.

This innovation arises in a context where subtle and realistic adjustments can be easily made using editing tools, including AI-based chatbots. Because of this, the industry has been seeking to establish standards to identify authentic photographs versus those that have been modified.

A common identification method currently involves metadata, such as those used by the C2PA standard. Although this metadata can record information about the origin and history of an image, it is vulnerable to being altered or removed when the file undergoes editing, compression, or sharing across various platforms.

Another strategy used is invisible watermarks inserted into images. An example of this is SynthID, developed by Google DeepMind, which alters the pixels of AI-generated images from the company to enable content identification.

Apple confirmed that it will integrate support for this system in an update scheduled for the end of this year. The technology will be applied to images that undergo certain processes on the company's devices. It should be noted that Apple already uses Gemini as one of the bases for its native AI systems.

It is important to note that Apple Reference Image will not have the same availability in all markets at launch. In China, the capture feature will not be offered initially due to local requirements regarding data processing and image encryption on external servers.

In the European Union, capturing reference images with hardware signatures will also initially be unavailable on the iPhone 18 Pro. However, users in this region will be able to process and view reference images generated by devices from other markets after updates to iOS 27, iPadOS 27, and macOS 27.

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