Surya Layout2

--- license: openrail license_link: LICENSE tags: - object-detection - document-layout-analysis - ocr library_name: surya --- # Surya Layout (fast) A lightweight document **layout detection** model used by [Surya](https://github.com/datalab-to/surya). It detects layout regions (text, tables, figures, headers, captions, equations, etc.) on a page image and runs on CPU or GPU. This is the "fast" layout detector — a compact object detector that serves as a drop-in alternative to Surya's VLM-based layout model. ➡️ **Documentation, installation, and everything else lives in the [Surya repository](https://github.com/datalab-to/surya).** ## Usage Install Surya: ```shell pip install surya-ocr ``` Point the fast layout predictor at this checkpoint: ```python from PIL import Image from surya.fast_layout import FastLayoutPredictor predictor = FastLayoutPredictor(checkpoint="hf://datalab-to/surya_layout2") layout = predictor([Image.open("page.png")]) for box in layout[0].bboxes: print(box.label, box.bbox, box.position) # region label, [x0,y0,x1,y1], reading-order index ``` Or make it the default so the CLI and library use it without an explicit path: ```shell export FAST_LAYOUT_MODEL_CHECKPOINT="hf://datalab-to/surya_layout2" ``` ## License Released under the AI Pubs OpenRAIL-M license (see `LICENSE`) — the same license as the [surya-ocr-2](https://huggingface.co/datalab-to/surya-ocr-2) model weights.

Source context: 14963 downloads · 8 likes · Pipeline object-detection · Library surya · Repo datalab-to/surya_layout2

Source context: 9529 downloads · 4 likes · Pipeline object-detection · Library surya · Repo datalab-to/surya_layout2