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Draw Attention vs VGG Image Annotator

Both stand on image annotation software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

Draw Attention

Free plan Self-hostedWeb

Draw Attention provides multiple hotspot shapes and content types, with an accessibility fallback described by its maker. Check whether the one-image free edition is enough or whether a Pro license fits your site count and needs.

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VGG Image Annotator

Free plan Open source LinuxMacSelf-hosted+2

VIA offers offline manual annotation and several export options at no cost. Choose VIA3 for audio, video or shared projects; VIA2 remains maintained but is limited to images and lacks sharing.

Visit VGG Image Annotator

The facts

Draw AttentionVGG Image Annotator
Free planYesYes
Open sourceNot publishedYes
Runs onSelf-hosted, WebLinux, Mac, Self-hosted, Web, Windows
Lowest paid planPro - Single Site: $99 a yearFree or on request
Plans published32
MakerNot publishedNot published
Websitewpdrawattention.comrobots.ox.ac.uk
On image annotation software#7 of 28#3 of 28

Draw Attention: what it does well

  • Creates polygon, rectangle and circle hotspots.
  • Hotspots can show media or link to another URL.
  • Supports keyboard commands and screen-reader access, according to the maker.
  • Works with shortcodes, Beaver Builder and WordPress Editor Block.
  • Offers an image-map fallback when JavaScript is disabled.

What to know first

  • Free edition is limited to one interactive image.
  • Pro license key is periodically sent for status checks.
  • Support excludes third-party plugin, theme and service integration help.
  • Pro starts at $99 a year.

VGG Image Annotator: what it does well

  • Runs offline in a browser without installation
  • VIA3 supports image, video and audio annotation
  • Annotations export as CSV or JSON
  • Released under a two-clause BSD license
  • Free public file store supports shared projects

What to know first

  • VIA2 does not support shared projects
  • VIA2 supports image files only
  • No model-assisted labeling

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