---
title: "Wasabi AiR"
slug: "wasabi-air"
description: "Wasabi AiR is an AI-powered cloud object storage service that enables deep search of media libraries. Media files uploaded into a Wasabi AiR storage account are automatically processed to generate second-by-second descriptive and technical metadata for the media item. This eliminates the time-consuming search of media libraries and enables content producers to instantly find any moment in any media that they own."
updated: 2026-01-14T14:23:19Z
published: 2026-01-14T14:23:19Z
canonical: "docs.wasabi.com/wasabi-air"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wasabi.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Wasabi AiR

![](https://cdn.document360.io/bef0a1ea-7768-4d5a-b520-c4fe2f7fafad/Images/Documentation/icon_02.png)

Intelligent media storage.

---

Wasabi AiR intelligent media storage combines high-performance Wasabi Hot Cloud Storage with AI-powered metadata auto-tagging. Wasabi AiR is a headless, API-centric service intended to be integrated into applications, platforms, and asset management systems that leverage metadata for uses such as indexing, search, training, and visualization.

Wasabi AiR provides AI/ML-driven services to locate, identify, and extract information from media, generating metadata that improves the discovery, organization, and exchange of digital assets. Metadata outputs are structured for:

- Organization
- Searchability
- Context

You can interact with Wasabi AiR through:

- The Wasabi Console, as described in this section of Wasabi Academy
- A programmatic user process integrated into a third-party application or service, as described in the [*Wasabi AiR API Reference*](https://docs.wasabi.com/apidocs/wasabi-air-api) and the [*Wasabi AiR Integration Guide*](https://docs.wasabi.com/apidocs/wasabi-air-integration-guide).