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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/MediaViz AI
MediaViz AI

MediaViz AI

Founded 2020

Convert visual media into structured metadata and tags through automated image recognition

Pricing model

Free Tier, Paid

You can use MediaViz AI to turn large collections of images into structured metadata and organized catalogs. It analyzes visual media to detect objects, faces, expressions, and dominant colors without manual effort. You can generate image descriptions, identify duplicate or visually similar photos, and score photos for aesthetic quality. The system connects directly to your applications via an API, making it easy to automate photo culling, organize digital asset libraries, improve search filters, and curate personal photo collections for your users.

What MediaViz AI does

Generate structured JSON metadata from uploaded imagesIdentify and cluster duplicate photos across large archivesExtract dominant hex color codes from photographsScore images based on aesthetic composition and blurDetect and group human faces across media collectionsProduce natural language captions for visual assetsCalculates image meaningfulness scores for automated curationDetects visually similar images and exact duplicatesGenerates automated labels, keywords, and natural language captionsExtracts dominant color palettes and analyzes blur levelsDetects faces and groups recurring people across albumsPredicts scene context, mood, and visual quality

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
FreeFree
Pay-As-You-Go (per 1,000 photo credits)$50 one-time
Monthly Subscription (per 1,000 photo credits)$50 / mo

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MediaViz AI, image analysis, computer vision, photo curation, automated tagging, image metadata, visual search, face grouping, duplicate detection, color extraction, DAM tagging, photo culling