VDAM.io icon
VDAM.io icon

VDAM.io

VDAM connects to Google Drive or Dropbox and automatically reads every image, video, audio file, and document as it lands — generating captions, keywords, color palettes, scene and mood tags, and custom metadata. Files become searchable in plain English without manual tagging.

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Cost / License

  • Freemium (Subscription)
  • Proprietary

Platforms

  • Software as a Service (SaaS)
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Features

  1.  Shared Folders
  2.  File Tagging
  3.  Dark Mode
  4.  Built-in viewer
  5.  Facial Recognition
  6.  Full-Text Search
  7.  AI-Powered
  8.  Tagging
  9.  Team Collaboration
  10.  Media library
  11.  Image recognition

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VDAM.io News & Activities

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VDAM.io information

  • Developed by

    US flagVDAM.io

  • Licensing

    Proprietary and Freemium product.

  • Pricing

    Subscription ranging between $10 and $100 per month + free version with limited functionality.

  • Alternatives

    15 alternatives listed

  • Supported Languages

    • English
VDAM.io was added to AlternativeTo by petervdam on and this page was last updated .
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What is VDAM.io?

VDAM is an AI-powered digital asset management (DAM) tool that layers over existing Google Drive or Dropbox storage instead of requiring uploads to a separate platform. It watches a connected folder and, the moment a supported file appears, queues it for AI analysis.

For each asset it generates a one-sentence caption, searchable keywords, a dominant color palette with hex values, scene and mood tags, composition data, and and brand safety. Faces are detected and grouped within the library only, never linked to any external identity.

Beyond automatic metadata, teams can define their own schema — fields like campaign, property type, usage rights, or release status — and VDAM infers values for each new asset with confidence scores. A self-maintaining tag tree keeps a single canonical taxonomy that grows new branches automatically as the library expands.

Search works in natural language ("warm-toned interiors at golden hour, no people, vertical orientation") across both AI-inferred content and custom metadata, with filters, facets, and reverse-image search. Assets can be shared through fully brand-customizable public pages — logo, palette, typography, cover, layout — with view/download permissions and link expiry, requiring no account from recipients.

Sync is read-only and incremental: VDAM never writes to the connected cloud storage and only processes changes. Originals stay in place. Supported files include images (JPEG, PNG, WebP, GIF, TIFF, HEIC, AVIF), video (MP4, MOV, AVI, MKV), audio (MP3, WAV, AAC, FLAC, M4A), PDFs, Adobe creative files (PSD, AI, EPS), camera RAW, and Microsoft Office documents. Video and audio are capped at 5 minutes each.

Pricing is per workspace rather than per seat, and uploaded content is never used to train AI models.

Features: AI image recognition / auto-tagging Automatic metadata extraction Natural language search Reverse image search Facial recognition / people grouping Color palette extraction Custom metadata schemas Auto-organizing taxonomy / tag tree Google Drive integration Dropbox integration Video & audio support PDF & Office document support Camera RAW support Brandable share pages / public links No-account file sharing Read-only / non-destructive sync

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