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Raster | Photo manager for modern teams Product Information

Raster | Photo manager for modern teams

Raster is a digital asset management (DAM) platform designed for modern teams to save time organizing, editing, and hosting photography. It emphasizes speed, collaboration, AI-assisted organization, and seamless shipping of imagery across marketing, design, and engineering workflows.


Overview

  • A fast DAM purpose-built for teams who ship photography. Raster advertises being the fastest DAM with smart features that boost team performance.
  • Beautiful design and a user experience tailored for collaborative, ship-driven workflows.
  • Built to integrate into a broader creative and product tooling ecosystem (live collaboration, plugins, and a growing API).
  • In-house hosting and content delivery infrastructure (CDN built on AWS and Vercel) to enable near-instant image delivery at scale.

How it Works

  • Organize: AI-driven tagging and smart organization reduce manual tagging and help teams locate assets quickly.
  • Edit: Nondestructive, collaborative editing allows teams to review and approve versions without losing the original assets.
  • Ship: A streamlined process from creation to delivery, with an emphasis on reducing the time to ship imagery.
  • Deploy once. Ship forever: Raster promotes a workflow where assets can be shipped and edited post-deploy, leveraging persistent image URLs and post-shipment edits.

Core Capabilities

  • AI-driven organization: Out-of-the-box smart tags and AI-powered categorization to improve asset findability. Customizable tags support bespoke workflows.
  • Nondestructive, collaborative editing: Maintain version history and approve final assets without overwriting originals.
  • All-in-one photo management: A single platform for organizing, editing, and hosting images for teams across departments.
  • Fast, scalable hosting: In-house CDN (AWS + Vercel) designed to serve billions of images daily with minimal latency.
  • Post-deployment editability: Ship assets with a unique image URL and continue editing after delivery.
  • Deep integration ecosystem: Plugins and integrations with major headless CMS and design tools to fit existing workflows.
  • Live collaboration: Real-time collaboration features to support team workflows and faster decision making.
  • Growing API: Programmatic access planned to extend capabilities and automate asset management tasks.
  • Plugins and integrations: Figma, Contentful, DatoCMS, Sanity, and more integration options are available or in development to fit diverse tech stacks.
  • Cross-functional adoption: Designed for developers, designers, and marketing teams to use a unified DAM experience.

How It Works (Workflow)

  1. Upload and store assets in Raster.
  2. Let AI tag and categorize assets automatically; customize tags for your team.
  3. Edit nondestructively and collaborate in real-time with teammates.
  4. Ship assets using persistent image URLs, with the ability to edit post-dispatch.
  5. Use integrations and plugins to connect Raster with your existing tools.

Getting Started

  • Free start availability: Raster offers a chance to get started, with public beta availability mentioned.
  • Designed for teams of designers, marketers, and developers who need a fast, reliable DAM with AI-driven organization.

Safety and Privacy Considerations

  • Data handling emphasizes speed and collaboration while maintaining asset integrity through nondestructive editing and version control.

Core Features

  • AI-driven organization and smart tagging for fast asset discovery
  • Nondestructive, collaborative editing with version control
  • Fast, scalable in-house CDN (AWS + Vercel) for image delivery
  • Post-shipment editability via persistent image URLs
  • Live collaboration to accelerate team workflows
  • Growing API for programmatic asset management
  • Plugins and integrations with Figma, Contentful, DatoCMS, Sanity, Deploy, and more
  • Single platform for organizing, editing, and hosting photography across teams
  • Designed for speed and ship-focused workflows