Need to convert an PSD to a PNG? An Illustrator file to a JPG? Upload your files and change their file type right from your browser.
Upload an image or document to extract all recognizable text. Once extracted, you can copy to your clipboard with one click.
Resize and download your images at specified sizes, while maintaining the aspect ratio to avoid skewing and distorting the image.
This simple color palette generator extracts colors from any photo or file on upload. Then just copy the HEX codes with a simple click!
Extract hidden recorded data behind your files, ranging from file size and modification history to the software tools used to create them.
Discover how auto-tagging technology uses image recognition to analyze and generate tags based on objects detected within images.
Workbench is a free library of tools designed to make digital asset management (DAM) features available to non-users. Need to resize images, extract text or generate a color palette from an image without using expensive, licensed software? Want to learn more about the powerful tools that DAMs implement for global, enterprise brands, like AI-generated tagging technology or hidden metadata extraction?
Workbench provides a central, online location for tools that power your brand assets. Don’t forget to bookmark this page and share it with your friends!
Nope! Workbench is 100% free. No license, subscription or even email addresses required.
Our team will continue to build out useful resources and release them over time.
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, tags provide a convenient method to search by.
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.