alt-text-generator/publiccode.yml at main · machinelearningZH/alt-text-generator · GitHub

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publiccodeYmlVersion: 0.5.0
name: Alt-Text-Generator
applicationSuite: Accessibility & Language Simplification
url: https://github.com/machinelearningZH/alt-text-generator
releaseDate: 2025-08-07
platforms:
  - web
  - windows
  - mac
  - linux
categories:
  - marketing
  - website-builder
developmentStatus: stable
softwareType: standalone/other
organisation:
  uri: https://ld.admin.ch/canton/1
  name: Zurich
description:
  en:
    localisedName: Alt-Text-Generator
    shortDescription: Automagically generate German alt texts for web images using AI.
    longDescription: The Alt-Text-Generator helps your communications team quickly
      produce accessible German alt texts for the images on your website — an
      essential requirement for web accessibility compliance that's often
      tedious to do manually at scale. Simply provide an image or an entire
      webpage URL, and the tool uses AI to draft a fitting description, taking
      into account the image itself as well as surrounding context like
      headings, captions, and any existing alt text. It can process a single
      image on the spot via a simple web interface, or handle your whole site in
      one go through the command-line tool, exporting results as an Excel file
      ready for editorial review. Because it relies on an external AI provider
      (OpenRouter) to analyze images, it should only be used with non-sensitive,
      publicly intended content — which fits naturally with its purpose of
      describing public-facing website images. In short, it turns a
      time-consuming accessibility task into a fast, reviewable draft, making it
      easier for your team to keep growing web content compliant and inclusive.
    documentation: https://github.com/machinelearningZH/alt-text-generator/blob/main/README.md
    features:
      - LLM
      - Context-Aware Anaysis
      - Bildbeschreibung
      - Web Scraping
      - multi-format
legal:
  license: MIT
maintenance:
  type: internal
  contacts:
    - name: Team Data, Amt für Statistik und Daten
      email: datashop@statistik.zh.ch
localisation:
  localisationReady: true
  availableLanguages:
    - de-CH