raw2md-models

This repository holds a copy of the model weights that the engine of raw2md uses. raw2md is a command-line tool that converts PDF, DjVu, and scanned documents to Markdown. raw2md downloads these files from this repository at a fixed revision.

Origin

Datalab created and trained these models for surya. Each folder is a copy of a checkpoint that surya-ocr 0.17.1 downloads from https://models.datalab.to. The checkpoint names come from surya/settings.py at the tag v0.17.1.

Folder	Task	Size
layout/surya-2025_09_23	page layout	1.4 GB
text_recognition/surya-2025_09_23	text recognition (OCR)	1.4 GB
ocr_error_detection/surya-2025_02_18	detection of a bad text layer	271 MB
table_recognition/surya-2025_02_18	table structure	211 MB
text_detection/surya-2025_05_07	text line detection	77 MB

Changes

The files are not changed. Each folder holds the same bytes as the original checkpoint, and manifest.json lists the files of the checkpoint. The layout <task>/<source>-<date>/ names the task, the source of the model, and the date of the checkpoint.

License

The weights are under the AI Pubs Open RAIL-M License (Modified) of Datalab. DATALAB_MODEL_LICENSE holds the full text. It is the file MODEL_LICENSE in surya v0.17.1, without changes. The GPL-3.0-or-later license of the raw2md code does not apply to these files.

You receive the files under DATALAB_MODEL_LICENSE, and these terms apply to you:

• Section 8 applies the same license to all copies and derivatives of the model, and to the output.
• Paragraph 5 makes the use restrictions in Attachment A apply to the model and to the derivatives of the model.
• A use outside Attachment A needs a commercial license from Datalab: https://www.datalab.to/.

Attachment A of DATALAB_MODEL_LICENSE, quoted in full:

Attachment A
USE RESTRICTIONS
As conditions to the Licenses set forth in this Agreement, You agree not to use, reproduce, modify, create or Distribute the Model, Derivatives of the Model, or Output (collectively, “Use”)  in any of the following ways:
1. Legal:
(a) In any way that violates any applicable national, federal, state, local or international law or regulation; or
(b) to directly or indirectly infringe or misappropriate any third party intellectual property rights (including those of Licensor or any Contributor)
2. Commercial:
(a) for any purpose if You (your employer, or the entity you are affiliated with) generated more than two million US Dollars ($2,000,000) in gross revenue in the prior year, except where Your Use is limited to personal use or research purposes;
(b) for any purpose if You (your employer, or the entity you are affiliated with) has raised more than two million US dollars ($2,000,000) in total equity or debt funding from any source, except where Your Use is limited to personal use or research purposes; or
(c)  for any purpose if You (your employer, or the entity you are affiliated with) provides or otherwise makes available any product or service that competes with any product or service offered by or made available by Licensor or any of its affiliates.
Commercial and broader use licenses may be available from Licensor at the following URL: https://www.datalab.to/

The README.md files in ocr_error_detection/surya-2025_02_18 and table_recognition/surya-2025_02_18 come from the original checkpoints. Their metadata names cc-by-nc-sa-4.0. This metadata keeps the license under which surya published its weights until August 2025, and the checkpoint files stay unchanged. Since then, surya applies the license in DATALAB_MODEL_LICENSE to its weights, and surya v0.17.1 loads these checkpoints under that license. The surya repository at v0.17.1 states that its model weights use the license in DATALAB_MODEL_LICENSE.

Credits

Thanks to Datalab for surya, for marker, and for the weights. The original models are in the surya repository. This repository is not affiliated with Datalab, and Datalab does not endorse raw2md.