Raster

Raster Overview

Raster is a next-generation digital asset manager (DAM) designed specifically for modern teams focused on photography. It streamlines the processes of organizing, editing, and hosting images, making it an essential tool for businesses that rely heavily on visual content. With its AI-driven capabilities, Raster allows teams to collaborate more effectively, saving valuable time and effort in managing their digital assets.

Raster Key Features

• AI-Driven Organization
  Raster goes beyond traditional folder systems by using smart tagging to categorize images. This means your digital assets are not only stored but also easily searchable, allowing for a customized organization system that fits your workflow.
• Nondestructive, Collaborative Editing
  Forget about the confusion of multiple file versions. Raster allows users to edit images directly within the platform, promoting collaboration among team members and eliminating the hassle of downloading and uploading various file versions.
• Fast and Reliable Shipping
  With Raster, you can deploy a unique image URL to ship your images effortlessly. Thanks to its in-house Content Delivery Network (CDN) built on AWS and Vercel, Raster handles billions of images daily, ensuring you always have the fastest delivery.
• Live Collaboration
  Teams can work together in real-time to make adjustments and finalize images, making the approval process smoother and quicker.
• Integrations with Popular Tools
  Raster seamlessly integrates with leading platforms like Figma, Contentful, DatoCMS, and Sanity, allowing you to enhance your workflow and keep everything connected.
• Raster Method
  The unique Raster method dramatically reduces the time required to ship photography—from 25 minutes to just 30 seconds—by minimizing friction across marketing, design, and engineering teams.

Trusted by prominent organizations like Vercel, Harvard University, and Birchbox, Raster is quickly becoming the go-to solution for teams looking to elevate their photo management game.