Mixpeek for Content Managers

Organize and discover content across every format without manual tagging

Content managers overseeing large media libraries, DAM systems, or content repositories spend hours manually tagging and organizing assets. Mixpeek automatically extracts features, classifies content, and enables intelligent search so you can find any asset in seconds.

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What's Broken Today

1Manual tagging does not scale

Your team spends hours adding keywords and categories to every video, image, and document. The backlog of untagged assets grows faster than your team can process.

2Finding the right asset takes too long

Searching by filename or manually-assigned tags misses relevant content. Users cannot find the 'sunset beach shot from the Q3 campaign' without knowing exactly how it was tagged.

3Inconsistent taxonomy application

Different team members apply tags differently. Inconsistent labeling makes filtering unreliable and content audits time-consuming.

4No visibility into video and audio content

You cannot search within video content or find specific audio segments. The actual content is locked behind media players with no discoverability.

How Mixpeek Helps

Automatic content classification

Upload assets and get IAB taxonomy labels, custom categories, and content descriptors applied automatically with confidence scores.

Semantic search across all media

Search by describing what you are looking for in natural language. Find 'product demo with whiteboard explanation' across video, image, and document libraries.

Consistent taxonomy enforcement

Machine-applied taxonomy labels are consistent across all assets. Every item is classified against the same categories with the same criteria.

Video and audio content indexing

Mixpeek extracts transcripts, scene descriptions, and visual features from video and audio files, making their content searchable and browsable.

How It Works for Content Managers

Upload your content library

Batch upload existing assets to a Mixpeek bucket. Videos, images, documents, and audio files are all supported in a single pipeline.

Run automatic classification and extraction

Trigger collection processing to extract transcripts, visual features, and taxonomy labels from every asset. Processing runs in the background at scale.

Search and discover

Use semantic search to find content by description, not just keywords. Browse auto-generated categories and filter by taxonomy labels.

Maintain with ongoing processing

New uploads are automatically processed. Taxonomy labels stay consistent as your library grows, and search stays current without manual effort.

Relevant Features

Taxonomy classification
Semantic search
Video transcription
Image analysis
Auto-tagging

Integrations

S3
Google Drive
DAM systems
CMS platforms

"We had 50,000 untagged video assets. After running them through Mixpeek, every one had taxonomy labels and searchable transcripts. Our content team now finds assets in seconds instead of hours."

Rachel Okonkwo

Head of Content Operations, Global Media Partners

Frequently Asked Questions

How accurate is the automatic classification?

Taxonomy classification includes confidence scores at each level of the hierarchy. For IAB Content Taxonomy 3.1, accuracy depends on the content and the tier, and we have not published a figure. You can set confidence thresholds to control the quality-coverage tradeoff for your specific use case.

Can I use my own taxonomy instead of IAB?

Yes. Mixpeek supports custom taxonomies alongside IAB. You define your category hierarchy, and the classification system maps content to your categories. This is useful for brand-specific or industry-specific classification schemes.

How long does it take to process a large library?

Processing speed depends on content type and extractors selected. A library of 10,000 images typically processes in under an hour. Video processing is slower due to frame extraction and transcription, but runs in parallel across available compute resources.

Does the search understand context within videos?

Yes. Mixpeek extracts transcripts, frame-level visual features, and scene descriptions from video. You can search for specific moments, topics discussed, or visual elements within video content, not just video-level metadata.

Related Resources

Industry Solutions

Advertising

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Entertainment

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Education

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Implementation Recipes

Semantic Multimodal Search

Unified semantic search across all content types. Query by natural language and retrieve relevant video clips, images, audio segments, and documents based on meaning-not keywords or manual tags.

Clustering & Theme Discovery

Unsupervised clustering that groups content into semantic themes using HDBSCAN. Surfaces hidden patterns, content variants, and outliers without requiring predefined labels.

Hierarchical Classification

Assign content to multi-level category hierarchies using embedding-based classification. Define your taxonomy once, then classify new content automatically with confidence scores.

Get Started as a Content Manager

See how Mixpeek can help content managers build multimodal AI capabilities without the infrastructure overhead.

Schedule a Demo Read the Docs