<img height="1" width="1" style="display:none;" alt="" src="https://px.ads.linkedin.com/collect/?pid=YOUR_ID&amp;fmt=gif">

AI Autotagging and Classification for Searchable Content Libraries

Automatically tag videos using speech, captions, on screen text, and visual signals. Classify content into governed categories such as archival, restricted, or redaction required to support search, compliance, and review workflows.

AI Autotagging and classification for searchable content libraries

100+ Leading Organizations Trust Our Data and AI Solutions

Tag Videos Automatically Based on Topic and Theme

Teams upload videos fast, then skip tagging because it takes time and the tags stay inconsistent. EnterpriseTube generates tags based on the video’s topic and theme so content stays organized from day one.

Tag videos automatically based on topic and theme

Generate Tags from Transcripts and Spoken Keywords

When titles and descriptions stay short, key terms live only inside the audio. AI transcription turns speech into searchable text, then you can use those terms as tags and metadata.

Generate tags from transcripts and spoken keywords

Extract on Screen Text with OCR for Stronger Tagging

Demos and screen shares contain part numbers, case IDs, and slide text users search later. OCR detects text on screen, handwritten notes, and license plates, then stores them as searchable metadata and tags.

Extract on screen text with OCR for stronger tagging

Add Visual and People-Based Tags with Video AI

Some searches depend on what appears in the video or who is present, not only what is said. Object detection and facial detection let teams tag videos by visual elements and identified people to refine discovery.

Add visual and people-based tags with video AI

Enrich Metadata with Advanced Visual Insights

Basic tags do not always capture tone, context, or brand presence inside video libraries. Optional insights such as emotion recognition, brand detection, and sentiment analysis add extra signals for smarter search.

Enrich metadata with advanced visual insightss

Classify Content into Governed Categories Automatically

Manual classification leads to gaps in governance, retention, and access control workflows. Rule-based classification and contextual analysis apply labels like archival, non-archival, restricted, or redaction required at scale.

Classify content into governed categories automatically

Can Be Used For

Frequently Asked Questions

What is AI Autotagging in EnterpriseTube?

AI Autotagging extracts signals from video and documents to generate tags, metadata, and classification labels automatically.

How are tags generated automatically?

Tags come from topic detection, speech transcription, OCR, visual analysis, and extracted keywords from captions.

What role does document classification play?

Classification assigns labels like archival, non-archival, restricted, or redaction required using rules and contextual analysis.

Can users search inside videos using these tags?

Yes. Tags and metadata support in-video search so users can open content at the exact moment where a match occurs.

Does this replace manual tagging?

No. AI reduces effort, while users can still add or adjust tags and labels to meet business requirements.

What types of content are supported?

Videos benefit most, and the same classification and OCR capabilities also apply to images and documents.

Organize and Search Your Video Knowledge at Scale

back to top