> For the complete documentation index, see [llms.txt](https://docs.roboflow.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.roboflow.com/changelog/explore-by-month/july-2026/auto-label-with-workflows-label-data-with-any-model-or-custom-logic.md).

# Auto Label with Workflows: Label data with any model or custom logic

You can now auto-label images with a saved Workflow instead of a single foundation or trained model. In the Auto Label model dropdown, open the Workflows tab, select a workflow compatible with your project type, map its output classes to your project classes, and preview the results on sample images before starting the job.

Labeling with a Workflow brings strategies that a single model cannot express. Slice large images with SAHI to catch small objects, combine models with consensus voting or two-stage crop and classify pipelines, filter predictions with custom logic, or label with foundation models like Gemini, Claude, and GPT. Jobs run in the background and apply only the classes you map to your project.

[Learn more about Auto Label](https://docs.roboflow.com/annotate/ai-labeling/automated-annotation-with-autodistill)