This Hugging Face Space uses a Document Image Transformer (DiT) model to analyze document layouts. Users upload an image of a document, and the tool identifies and visually labels elements such as text blocks, titles, lists, tables, and figures. It returns both annotated images and structured data, useful for digitization and information extraction pipelines.
Dit Document Layout Analysis sits in PulseGate's Image editing category. Automatically understanding and annotating the layout structure of scanned or digital documents. Dit Document Layout Analysis is an open-source project aimed at researchers and document processing specialists. Dit Document Layout Analysis is free to use. Dit Document Layout Analysis is available on the web, and it can be self-hosted.
It is developed by nielsr, and it first shipped in 2023. Among its 3 catalogued features are Document Layout Analysis, Element Detection, and Visual Annotation.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Same category — not a similarity match