Raster

Raster is a natively AI‑powered digital asset management (DAM) system designed specifically for modern, high‑output visual teams. It addresses the growing disconnect between the explosive growth of AI‑generated images and traditional DAM systems. With lightning‑fast performance, intelligent metadata management, and AI‑native workflows at its core, Raster enables teams to maintain efficient collaboration throughout the entire lifecycle of image creation, editing, retrieval, and delivery. Not only is it currently the fastest DAM globally, but through its lightweight interfaces, visual context understanding, and automated workflows, it seamlessly serves both humans and AI agents—truly delivering an asset‑layer transformation that allows “deploy once, deliver forever.”

Raster is a natively AI‑powered digital asset management (DAM) system designed specifically for modern, high‑output visual teams. It addresses the growing disconnect between the explosive growth of AI‑generated images and traditional DAM systems. With lightning‑fast performance, intelligent metadata management, and AI‑native workflows at its core, Raster enables teams to maintain efficient collaboration throughout the entire lifecycle of image creation, editing, retrieval, and delivery. Not only is it currently the fastest DAM globally, but through its lightweight interfaces, visual context understanding, and automated workflows, it seamlessly serves both humans and AI agents—truly delivering an asset‑layer transformation that allows “deploy once, deliver forever.”

Raster is ideal for scenarios such as co‑building marketing campaign asset libraries, coordinating pre‑launch imagery, and managing AI‑generated visuals alongside final drafts. It supports key capabilities including video asset handling, reverse image search, and AI‑assisted editing, while deeply integrating with popular creative and content platforms like Figma and Contentful.

Features

Supports reverse image search, enabling rapid identification of similar or derivative assets based on visual features.

Supports video file management and offers AI‑assisted editing for images.

Use cases

Establishes shared resource libraries for marketing campaigns.

Organize all product photos before the product launch

Provide approved brand images to the AI agent

How to use

Upload visual assets such as images and videos

Quickly search using the command panel or reverse image search

Integrate assets into your workflow via tools like Figma and Contentful

Traffic data

Third-party estimates, not first-party analytics. Periods, devices and providers are shown separately.

No verifiable traffic data available

Sources

raster.app ↗