Tagbox (tagbox.io)

Tagbox.io offers an AI-driven digital asset management system for organizing and finding photos and videos. It targets teams and organizations that need to manage large media libraries with advanced search capabilities, including natural language queries and content-based searches. The tool reads content inside frames, transcribes video and audio, and supports custom tagging so teams can locate assets by branding, people, or campaigns. Descriptions and metadata are used to build a navigable library, reducing time spent looking for specific items.

The platform describes its workflow as migrating from existing storage by agreeing on terminology first, then building a structured taxonomy around a team's language. It emphasizes collaboration during onboarding, with human guidance and quick responses. It supports migrating existing folder structures and business data into a unified tagging system that reflects how a team talks about its work.

Tagbox.io highlights capabilities like image and video search across visible content, text-in-image, and language translation, plus face recognition and the ability to tag by brand or campaign. It provides tools for version control, tagging governance, and shared collections. The service integrates with external tools through APIs and automation, allowing teams to search and manage assets across platforms while preserving usage rights and expiry data on the assets.

Tagbox.io outlines plans, platforms, and integrations including multiple pricing tiers (Starter, Basic, Pro, Enterprise), various storage limits, API access, and hosting options. It mentions a free trial, migration services, and add-ons such as custom AI tagging and MFA-like features. The site indicates multi-language support, collaboration features, and enterprise-grade options like SSO, white labeling, and custom cloud storage solutions.

Use cases

• Teams migrating from folders to a structured, searchable media library