Talking Drupal #572 - The PHP Foundation

Today we are talking about PHP, Open Source, and Sustainability with guest Elizabeth Barron. We’ll also cover AI Image Classification as our module of the week.

For show notes visit:
https://www.talkingDrupal.com/572

Topics

• What is the PHP Foundation
• Language Health Challenges
• Paid Core Developers
• Release Infrastructure
• Foundation Role and Perception
• Docs and Onboarding
• Elizabeth Open Source Journey
• Future of PHP Ecosystem
• Listener Elephant Question
• Ecosystem Security Hub
• Advisory Board Limits
• Modernizing Mailing Lists
• Foundation Awareness Push
• PHP Ambassadors Strategy
• State of PHP Survey
• Five Year Vision
• Community Hour Podcast
• php.net Design Refresh

Resources

• The PHP Foundation
• Derek Rethans
  • xdebug
  • Infrastructure
  • https://github.com/derickr
• Drupal advocacy
• Link to community hour podcast
• Php 8.5
• Contribute to php article

Guests

Elizabeth Barron - thephp.foundation elizabethbarron

Hosts

Nic Laflin - nLighteneddevelopment.com nicxvan
John Picozzi - epam.com johnpicozzi
Tim Sharp - tea-sharp

MOTW

Correspondent

Martin Anderson-Clutz - mandclu.com mandclu

• Brief description:
  • Have you ever wanted the images in your Drupal media library to be automatically given alt text, a rich description, and a set of tags, using AI? There’s a recipe for that.
• Module name/project name:
  • AI Image Classification
• Brief history
  • How old: created in Sep 2025 by Artem Dmitriiev (a.dmitriiev) of 1xINTERNET
  • Versions available: 1.1.1, which requires Drupal 11.2 or newer
• Maintainership
  • Actively maintained, latest release and commit just two weeks ago
  • Security coverage
  • Number of open issues: 9 open issues, 4 of which are bugs
• Usage stats:
  • No usage data reported
• Module features and usage
  • This recipe applies core's image media type recipe, then adds a description field and a tags field to image media, with tags in a new "Image Classification" vocabulary
  • Editors get a "Generate Alt Text" button right on the image field, using the Field Widget Actions module, with a prompt written like an accessibility expert: under 100 characters, no "image of", flag logos and graphics
  • On save, a vision model writes a description of up to eight sentences: colours, photo versus illustration, people, mood, and key objects, using the media name for context
  • Tagging is chained off that description rather than the image itself, picking or creating up to five short, general terms, and reusing similar existing tags where it can
  • It also adds bulk actions to the media admin view, so you can run description and tagging across an existing library, not just new uploads
  • Description and tag filters are added to the media library, including the widget, so editors can search for "sunny summer day" right in the image picker
  • The stated bigger goal is making images discoverable by RAG and other AI search, so good descriptions become a foundation for future AI features. In fact, this recipe is a dependency for the Canvas AI Image Search recipe, which is still a work in progress
  • Under the hood, images get scaled to 400px wide and converted to PNG before they're sent to the model, which keeps things faster and cheaper
  • One caveat: your site needs an AI provider with a default "chat with image vision" model, and the recipe checks for that when it's applied
  • Also worth a look: the description prompt asks the model to describe people's age, gender, and ethnicity, and even name them if it can, so you may want to review that prompt for your privacy policies, and adjust accordingly
  • Like any recipe, it provides a robust starting point for some compelling features, and every prompt and setting can be tweaked after you apply it
  • Lastly, I wanted to mention that in today’s Driesnote in here in Rotterdam, Dries demoed being able to use MCP to search images on his own site. A recipe like this could help you make sure the images in your media library have sufficient metadata to make that work reliably