IMatch AutoTagger is a feature designed for users who want to enhance their images by automatically adding descriptions, keywords and headlines, all with the help of artificial intelligence. This tool streamlines the tagging process, saving vast amounts of time while improving image organization, discoverability and accessibility.
In the latest release, IMatch 2025.6.2 (October 2025), AutoTagger has been upgraded to support the newest OpenAI GPT 5 models and the latest Qwen Vision models for local AI in Ollama or LM Studio. These advanced model generations deliver even more precise descriptions and keywords, significantly improving performance while maintaining an affordable cost.
See AI Service Providers in the IMatch Help System for more information about the various cloud-based and locally running AI services supported by IMatch AutoTagger.
Mario M. Westphal is the developer of IMatch, the digital asset management system (DAM) for Windows. He has a strong background in software development and photography, gained through working for over 30 years in the field for many clients. His special interests are photography, music. literature and of course software development, with a strong focus on digital asset management, database systems and image metadata. He hails from Germany.