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datalab-to/
surya_layout2

Name: surya_layout2
Rating: 2.5 (19151 reviews)

surya

object-detection

document-layout-analysis

ocr

openrail

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Surya Layout (fast)

A lightweight document layout detection model used by 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.

Usage

Install Surya:

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:

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 model weights.