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Discover how AI auto-tagging technology uses image recognition to analyze and generate tags based on objects detected within images.
The file converter will allow you to convert jpg to png, png to jpg or another file type. Upload your files and change their file type from your browser, and then download.
The text extractor will allow you to extract text from any image. You may upload an image or document (.pdf) and the tool will pull text from the image. Once extracted, you can copy to your clipboard with one click.
Resize images without losing quality, while maintaining the aspect ratio to avoid skewing and distorting.
This simple color palette generator extracts colors from any photo or file on upload. Then just copy the HEX codes from the color palette app with a simple click!
Extract metadata recorded behind your files, ranging from file size and modification history to the software tools used to create them.
Why You Need Automated Metadata Tagging in Your DAM
Metadata Management: What It Is and How To Use It
Convert Your Metadata Into Easily Searchable Tags and Custom Fields
Image Tagging Software: What It Is & How It Works
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Additional Brandfolder Resources:
Nope! Workbench is 100% free, up to 5 uses a day per user. No license, subscription or even email addresses required.
Yes! Our team will continue to build out useful resources and release them over time. To get full access to all digital asset management features, check out Brandfolder's DAM software.
AI auto-tagging is a feature utilized by Digital Asset Management (DAM) platforms to help users save time by eliminating manual work, encouraging organization, and making files easy to locate.
The technology works by analyzing objects within an image and generating a set of tags returned from a machine learning system. Based on a confidence score, the tags with the highest likelihood of accuracy will be applied to the image. When used within a DAM software like Brandfolder, metadata and auto-tagging provide a convenient method to search by. You can read more about metadata auto tagging in our blog.
The Workbench color palette generator extracts a series of HEX colors from an image upon upload. It counts every pixel and its color, and generates a palette of up to 6 HEX codes of the most recurring colors.
Metadata provides information about an asset's content.
For example, an image may include metadata that describes how large the picture is, the color depth, the image resolution, the creation date, and other data. A text document's metadata may include information about length of document, the author, publish date, and a short summary of the document.
Digital Asset Management (DAM) has, in recent years, become a critical system for companies of all industries and sizes. A DAM is a software platform brands use to store, edit, distribute and track their brand assets. DAMs are intended to encourage the organization of a company’s digital architecture, eliminating the use of buried files and folders typically housed in Google Drive or Dropbox.
DAM systems scale to store massive quantities of digital assets, including but not limited to: photos, audio files, graphics, logos, colors, animations, 3D video, PDF files, fonts, etc. In addition to meticulous organization within the DAM’s central file system, these files are discoverable using unique identifiers such as their metadata and tags (auto and manual).
When used for distribution, DAMs encourage asset permissioning and expiration, ensuring only the correct content is available to the correct recipient for a specified amount of time. Once published or distributed, DAMs can analyze how, where and by whom assets are being used.
Digital asset management platforms are used by marketing, sales and creative teams at some of the world's largest brands. Want to learn more about how a DAM could benefit your team? Sign up for a free Brandfolder trial or schedule a demo with one of our DAM experts here.