AI image and video tagging DAM

Data as of Oct 17, 2026Reviewed by

How we measure

Which brands AI mentions

Mentioned in · Jul 8 – Oct 17, 2026

ChatGPT SearchChatGPT SearchGoogle AI ModeGoogle AI Mode

Widest split: Cloudinary, 95% on ChatGPT Search and 40% on Google AI Mode.

  • =1CantoChatGPT Search 64%Google AI Mode 85%
  • =1CloudinaryChatGPT Search 95%Google AI Mode 40%
  • =3BynderChatGPT Search 77%Google AI Mode 35%
  • =3MediaValetChatGPT Search 36%Google AI Mode 55%
  • =5BrandfolderChatGPT Search 45%Google AI Mode 30%

Questions and answers

  • Google AI ModeOct 17, 2026

    1. 1Canto
    2. 2Acquia DAM
    3. 3Cloudinary
    4. 4Brandfolder

    If you are looking for a Digital Asset Management (DAM) system that leverages AI to automatically analyze, recognize, and tag both images and videos by their content, several enterprise-grade and mid-market platforms lead the market.

    Top options featuring robust AI auto-tagging, object recognition, and smart search capabilities include:

    • Canto : Uses deep learning (powered by engines like AWS Rekognition) to automatically scan uploaded images and video frames, generating smart keyword tags and visual descriptions to eliminate manual data entry.
    • Acquia DAM (formerly Widen): Offers advanced AI auto-tagging for images, dominant color detection, text extraction from documents, and audio/video transcription features.
    • Cloudinary : An API-first, cloud-native media management platform heavily centered on AI. Its intelligent features automatically recognize objects, faces, colors, and scene contexts in images and videos, making asset retrieval seamless.
    • Brandfolder : Built for brand and creative asset management, it features strong AI-powered smart search, auto-tagging, and duplicate detection that continuously learns from your library to improve accuracy over time.

    To help narrow down the best fit, could you share:

    • Your expected team size or number of users
    • Approximate library volume (GB/TB or number of assets)
    • Whether you need video transcription specifically or just visual object/scene tagging

    Let me know and I can provide a more tailored recommendation and pricing context.

    ChatGPT SearchOct 17, 2026

    1. 1Canto
    2. 2MediaValet
    3. 3Cloudinary
    4. 4Bynder
    5. 5Aprimo

    If you need a digital asset management (DAM) system that automatically tags images and videos using AI, I’d focus on platforms that offer visual content recognition, automatic metadata generation, semantic search, and video scene or object detection.

    The key distinction is whether the AI simply identifies objects (such as “car,” “person,” or “beach”) or can also understand context (such as “a customer using a product outdoors”) and make the content searchable without someone manually adding keywords.

    Here are the main platforms I’d evaluate for a business looking to reduce manual tagging and make large media libraries easier to search.

    5 DAM platforms worth shortlisting

    • Canto Software: Reviews, Pricing & Free Demo - Software Finder - 2026

    1. Canto

    (Best for visual search)

    Strong for teams that want to find assets by describing what's in them, including specific scenes inside videos. It analyzes objects, actions, colors, composition, and other visual details; AI Visual Search is an add-on.

    Website:


    • MediaValet Reviews 2026: Details, Pricing, & Features | G2

    2. MediaValet

    (Best for image and video libraries)

    Automatically tags assets and offers object, scene, color, and text recognition, face recognition, video transcription, and searches that can pinpoint exact clips and frames. A strong candidate for organizations with substantial video archives.

    Website:


    • Boost Your WordPress Media Management With Cloudinary

    3. Cloudinary Assets

    (Best for integrations and automation)

    Automatically enriches images and videos with tags and metadata, including objects, scene context, colors, and video transcripts. Particularly compelling if assets feed websites, apps, ecommerce, or publishing workflows. Some capabilities vary by plan.

    Website:


    • Bynder Review: Pricing, Pros, Cons & Features | CompareCamp.com

    4. Bynder

    A good candidate for brand and marketing teams. Its AI capabilities include natural-language and image-based search, similarity search, and an enrichment agent that can generate titles, descriptions, and metadata while respecting your organization's terminology. Confirm which enrichment features are included in your package.

    Website:


    • Aprimo Reviews 2026: Details, Pricing, & Features | G2

    5. Aprimo

    Worth considering for complex enterprise workflows. Its AI features include smart tagging for images, documents, and videos, video transcription and summarization, contextual search, and similarity matching.

    Website:

    Which one would I choose?

    Your main requirementMy first choice
    Automatically find specific scenes in videosMediaValet or Canto
    AI tagging plus natural-language searchCanto
    Automatically enrich a large image/video library and integrate it with applicationsCloudinary
    Brand guidelines, marketing assets, and metadata governanceBynder
    Complex enterprise workflows and content governanceAprimo

    These are feature-based recommendations, not the results of a hands-on benchmark. All five warrant a closer look, and their AI features may depend on licensing or configuration.

    What to verify during a demo

    I'd ask each vendor to demonstrate these six things using your own untagged files:

    • Automatic tagging on upload: Are useful tags actually written to searchable metadata fields, or merely suggested?
    • Video understanding: Can it identify objects and activities throughout a video, not just its thumbnail?
    • Scene-level search: Can you search for “person opening a red box” and jump directly to the relevant timestamp?
    • Custom vocabulary: Can you recognize your product names, locations, people, and industry-specific terminology?
    • Bulk processing: Can it index your existing library without requiring manual tagging?
    • Cost and privacy: Are AI indexing, storage, video processing, and search included in the quoted price? Where is your content processed?

    Let me narrow this down for you

    I can recommend a more specific shortlist if you tell me one thing: roughly how large is your image and video library?

    1. Library size

    Under 10,000 assets

    10,000–100,000 assets

    100,000–1 million assets

    Over 1 million assets


    2. What types of media?

    Mostly images

    Both images and video

    Mostly video


    3. Approximate budget

    Under $500/month

    $500–$2,000/month

    $2,000+/month

    Flexible / enterprise


    4. Most important capability

    Automatic tagging with minimal manual work

    Natural-language search by visual content

    Find specific scenes and timestamps in video

    Custom AI tags for specialized products or subjects

    [Find my best-fit DAM]

Also asked as

  • Can you recommend a DAM platform that leverages artificial intelligence to auto-tag my video and image files based on their visual content?
  • I'm looking for digital asset management software with built-in AI capabilities for automatically labeling images and videos by what's inside them.