# Document AI labeling interfaces

A gallery of labeling and evaluation interfaces built with Label Studio Enterprise programmable interfaces. Each entry is a starting point to adapt, not a fixed template.

**URL:** https://humansignal.com/use-cases/document-ai

## Document AI interfaces (1)

### DocLang Document Annotation

**Category:** Document AI  
**URL:** https://humansignal.com/use-cases/document-ai/doclang-document-annotation

Draw regions on a document, set reading order, and fix table structure while the DocLang XML updates beside you. Docling predictions load in for correction, so your annotators fix conversions instead of building them from scratch.

Your documents do not look like Docling's training data: a lab report or an internal invoice has little in common with the public PDFs a converter learned on. This interface gives you a place to see where that breaks.

You draw bounding boxes around document elements, layer reading-order paths across them, and correct merged regions and table structure, with the DocLang XML updating in a sidebar as you work. Predictions from the Docling ML backend load as a starting point, and the result exports as a .dclx archive carrying both the structure and the page images.

**Links**
- [Open the Interface](https://app.humansignal.com/interfaces/-8/overview)

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