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Xattot v1: Satr v1 (ONNX + safetensors), page pipeline, model card, benchmark
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Xattot
Copyright (c) 2026 Steppe Labs
Xattot uses the following third-party models. They are not included in this repository: xattot.py downloads them
from their official Hugging Face repositories at the pinned revisions listed here. Each keeps its own license.
Model Repository Revision License
PP-DocLayoutV3 (layout) PaddlePaddle/PP-DocLayoutV3_onnx 46bbdf188bb0a772c08aed74882ce7e51a8f1ea6 Apache-2.0
PP-OCRv5 mobile det (lines) PaddlePaddle/PP-OCRv5_mobile_det_onnx e6f4fa85f00e168c862bc462aebca69eef9b3d3d Apache-2.0
PP-LCNet_x1_0_doc_ori PaddlePaddle/PP-LCNet_x1_0_doc_ori_onnx 7330ab7039123e46af2dc03154b9969aa412c61d Apache-2.0
SLANet_plus (tables) PaddlePaddle/SLANet_plus_onnx 7dbe640e127602bf506815e822c09758de73c482 Apache-2.0
PP-FormulaNet_plus-L PaddlePaddle/PP-FormulaNet_plus-L_safetensors 6cc004a8e91ea3f3819b05317f40b290cbe99c2b Apache-2.0
(optional, --formula only)
These models are developed by PaddlePaddle (Baidu) and licensed under the Apache License, Version 2.0:
http://www.apache.org/licenses/LICENSE-2.0
The Satr text-line recognizer was designed and trained from scratch by Steppe Labs; it does not contain weights
from any third-party model.