surya_layout2 by Datalab: Open-Weight Model

Model Card

By Datalab, published under openrail, revision 0aee81d5fd92.

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 Point the fast layout predictor at this checkpoint: Or make it the default so the CLI and library use it without an explicit path: Released under the AI Pubs OpenRAIL-M license (see LICENSE) — the same license as the surya-ocr-2 model weights.

Read Datalab's full model card

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:

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.

Identity and Version

Repository: datalab-to/surya_layout2
Publisher: Datalab
Task: Object detection
Modality: Image
Library: surya
Parameters: Not stated by the source
Languages: ocr
Revision: 0aee81d5fd9275c0582e545bf3a56944b1e75679
First published: 2026-07-08
Last updated: 2026-07-08

Files and Weights

7 files, 142.0 MB in total. The weights are 2 files totalling 142.0 MB in pt, pth.

Weights2 files · 142.0 MB

Configuration2 files · 2.2 KB

Documentation2 files · 16.2 KB

Repository1 file · 1.5 KB

Every file

File	Type	Size	SHA-256
order/order_ar.pt	Weights	7.1 MB	f381c3854801
rfdetr_layout.pth	Weights	134.9 MB	e01b79f85877
config.json	Configuration	1.8 KB	—
order/config.json	Configuration	434 B	—
LICENSE	Documentation	14.7 KB	—
README.md	Documentation	1.4 KB	—
.gitattributes	Repository	1.5 KB	—

License and Download

License: openrail
Access: Open weights, no gate
Download size: 142.0 MB

Download from Datalab

Released by Datalab through its official repository on Hugging Face. Read the license.

Memory Requirements

Precision	Weights in memory
As published	142.0 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About surya_layout2

Can I use surya_layout2 commercially?

Yes, with conditions. surya_layout2 is released under Open RAIL License. Open RAIL licenses permit use, including commercial use, subject to the use-based restrictions listed in the license, which must be passed on to anyone who receives the model or a derivative.

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