AI-Powered Digital Asset Management (DAM) | Inliner.ai

The Asset Manager with a Brain

Most Digital Asset Managers (DAM) are just "smart folders." Inliner is different. It uses advanced vision AI to automatically see, describe, and tag your entire library the moment an image is created or uploaded.

Zero-Effort Tagging

Stop typing "sunset", "office", or "blue". Our AI analyzes visual content and applies high-accuracy tags automatically.

Multi-Tag Search

Find exactly what you need with powerful logical filters. Search tags:nature AND tags:winter to find that perfect snow mountain shot instantly.

Smart Collections

Organize assets into projects and collections. Bulk manage thousands of images with a single click.

Manual organization is dead.

Let the AI do the heavy lifting.

In traditional systems like Cloudinary or Dropbox, your library is only as good as the time you spend naming files and folders. With Inliner, the metadata is the asset. We extract deep descriptions and categories so you can search by intent, not just file names.

#ai-powered #auto-tagging #instant-discovery #smart-search
AI organizing digital assets visually

Why Inliner is the Better DAM

Capability Traditional DAM (Cloudinary/Dropbox) Inliner AI Asset Manager
Tagging Manual entry or basic object detection ✅ Deep AI analysis (State-of-the-art vision)
Descriptions "IMG_4021.png" ✅ "A modern office space with minimalist wood furniture and natural sunlight"
Search File name matching ✅ Semantic search & Multi-tag filtering
Creation Upload only ✅ Integrated AI Generation + Upload
Speed Depends on your manual effort ✅ Instant organization on save

Developer-First Asset Management

Official @inliner/js SDK

Integrate image management directly into your app. Search, tag, rename, and delete assets programmatically with our modern, lightweight TypeScript library.

Read SDK Docs →

Powerful CLI

Manage your entire library from the command line. Bulk generate, edit, and organize images without ever leaving your terminal.

Explore CLI →

MCP Server for AI Agents

Give your AI agents (Claude, Cursor, Gemini) the ability to manage your assets. The Model Context Protocol (MCP) server bridges your library with your favorite AI tools.

Setup MCP Server →

Full REST API

Everything you can do in the dashboard, you can do via our API. Built for scale and speed, with global CDN delivery baked into every request.

View API Reference →

Ready for a library that organizes itself?

Stop losing hours to manual asset management. Switch to the AI-first workflow.

Get Started for Free