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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+ handwritten_form.png filter=lfs diff=lfs merge=lfs -text
LICENSE ADDED
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+ AI PUBS OPEN RAIL-M LICENSE (MODIFIED)
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+ Version 0.1, March 2, 2023 (Modified)
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+ PLEASE READ THESE TERMS CAREFULLY BEFORE USING THE MODEL OR A DERIVATIVE WORKS OF THE MODEL MADE AVAILABLE IN CONNECTION WITH THESE TERMS. BY DOWNLOADING, REPRODUCING, DISTRIBUTING OR USING THE MODEL OR A DERIVATIVE WORK OF THE MODEL IN ANY MANNER, YOU (“YOU”) AGREE TO BE BOUND BY THESE TERMS (THE “AGREEMENT”) TO THE EXCLUSION OF ALL OTHER TERMS. YOU REPRESENT AND WARRANT THAT YOU HAVE THE AUTHORITY TO ENTER INTO THIS AGREEMENT; IF YOU ARE ENTERING INTO THIS AGREEMENT ON BEHALF OF AN ORGANIZATION OR ENTITY, REFERENCES TO AND “YOU” IN THIS AGREEMENT, REFER TO THAT ORGANIZATION OR ENTITY. IF YOU DO NOT AGREE TO ALL OF THE FOLLOWING, YOU MAY NOT DOWNLOAD, REPRODUCE, DISTRIBUTE OR USE THE MODEL OR A DERIVATIVE WORK OF THE MODEL IN ANY MANNER.
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+ Section III: CONDITIONS OF USAGE, DISTRIBUTION AND REDISTRIBUTION
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+ 4. Distribution and Redistribution. You may host the Model or Derivatives of the Model for remote access by Third Parties, including but not limited to software-as-a-service, reproduce, or Distribute copies of the Model or Derivatives of the Model thereof in any medium, with or without modifications, provided that You meet the conditions in this Section III:
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+ (a) Use-based restrictions in paragraph 5 MUST be included as an enforceable provision by You in any type of legal agreement (for example, a license) governing the use and/or distribution of the Model or Derivatives of the Model, and You shall give notice to subsequent users You Distribute to, that the Model and Derivatives of the Model are subject to paragraph 5;
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+ 5. Use-based restrictions. The restrictions set forth in Attachment A are considered Use-based restrictions. Accordingly, You cannot use the Model or the Derivatives of the Model in violation of such restrictions. You may use the Model subject to this License, including only for lawful purposes and in accordance with the License. Use may include creating any content with, fine-tuning, updating, running, training, evaluating and/or re-parametrizing the Model. You shall require all of Your users who use the Model or a Derivative of the Model to comply with the terms of this paragraph 5.
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+ Section IV: OTHER PROVISIONS
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+ 9. Updates and Runtime Restrictions. To the maximum extent permitted by law, Licensor reserves the right to restrict (remotely or otherwise) usage of the Model in violation of this License, update the Model through electronic means, or cause modification to the Output resulting from updates to the Model based.
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+ 13. Accepting Warranty or Additional Liability. While Distributing the Model or Derivatives of the Model, You may choose to charge a fee in exchange for support, warranty, indemnity, or other obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor or Licensor, and only if You agree to indemnify, defend, and hold each Contributor and the Licensor harmless for any liability incurred by, or claims asserted against, such Contributor or Licensor by reason of your accepting any such warranty or additional liability.
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+ 14. If any provision of this License is held to be invalid, illegal or unenforceable, the remaining provisions shall be unaffected thereby and remain valid as if such provision had not been set forth herein.
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+ END OF TERMS AND CONDITIONS
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+
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+  Attachment A
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+ USE RESTRICTIONS
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+ 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:
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+ 1. Legal:
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+ (a) In any way that violates any applicable national, federal, state, local or international law or regulation; or
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+ (b) to directly or indirectly infringe or misappropriate any third party intellectual property rights (including those of Licensor or any Contributor)
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+ 2. Commercial:
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+ (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;
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+ (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
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+ (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.
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+ Commercial and broader use licenses may be available from Licensor at the following URL: https://www.datalab.to/
README.md ADDED
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+ ---
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+ license: openrail
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+ library_name: transformers
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+ tags:
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+ - ocr
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+ - vlm
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+ ---
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+
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+ # Chandra
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+
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+ Chandra is an OCR model that outputs markdown, HTML, and JSON. It is highly accurate at extracting text from images and PDFs, while preserving layout information.
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+
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+ You can try Chandra in the free playground [here](https://www.datalab.to/playground), or at a hosted API [here](https://www.datalab.to/).
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+
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+ ## Features
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+
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+ - Convert documents to markdown, html, or json with detailed layout information
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+ - Good handwriting support
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+ - Reconstructs forms accurately, including checkboxes
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+ - Good support for tables, math, and complex layouts
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+ - Extracts images and diagrams, with captions and structured data
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+ - Support for 40+ languages
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+
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+ ## Quickstart
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+
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+ The easiest way to start is with the CLI tools:
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+
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+ ```shell
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+ pip install chandra-ocr
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+
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+ # With VLLM
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+ chandra_vllm
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+ chandra input.pdf ./output
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+
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+ # With HuggingFace
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+ chandra input.pdf ./output --method hf
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+
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+ # Interactive streamlit app
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+ chandra_app
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+ ```
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+
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+ ## Benchmarks
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+
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+ We used the olmocr benchmark, which seems to be the most reliable current OCR benchmark in our testing.
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+
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+ <img src="bench.png" width="600px"/>
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+
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+ | **Model** | ArXiv | Old Scans Math | Tables | Old Scans | Headers and Footers | Multi column | Long tiny text | Base | Overall | Source |
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+ |:----------|:--------:|:--------------:|:--------:|:---------:|:-------------------:|:------------:|:--------------:|:----:|:--------------:|:------:|
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+ | Datalab Chandra v0.1.0 | 82.2 | **80.3** | **88.0** | **50.4** | 90.8 | 81.2 | **92.3** | **99.9** | **83.1 ± 0.9** | Own benchmarks |
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+ | Datalab Marker v1.10.0 | **83.8** | 69.7 | 74.8 | 32.3 | 86.6 | 79.4 | 85.7 | 99.6 | 76.5 ± 1.0 | Own benchmarks |
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+ | Mistral OCR API | 77.2 | 67.5 | 60.6 | 29.3 | 93.6 | 71.3 | 77.1 | 99.4 | 72.0 ± 1.1 | olmocr repo |
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+ | Deepseek OCR | 75.2 | 72.3 | 79.7 | 33.3 | 96.1 | 66.7 | 80.1 | 99.7 | 75.4 ± 1.0 | Own benchmarks |
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+ | GPT-4o (Anchored) | 53.5 | 74.5 | 70.0 | 40.7 | 93.8 | 69.3 | 60.6 | 96.8 | 69.9 ± 1.1 | olmocr repo |
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+ | Gemini Flash 2 (Anchored) | 54.5 | 56.1 | 72.1 | 34.2 | 64.7 | 61.5 | 71.5 | 95.6 | 63.8 ± 1.2 | olmocr repo |
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+ | Qwen 3 VL | 70.2 | 75.1 | 45.6 | 37.5 | 89.1 | 62.1 | 43.0 | 94.3 | 64.6 ± 1.1 | Own benchmarks |
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+ | olmOCR v0.3.0 | 78.6 | 79.9 | 72.9 | 43.9 | **95.1** | 77.3 | 81.2 | 98.9 | 78.5 ± 1.1 | olmocr repo |
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+ | dots.ocr | 82.1 | 64.2 | 88.3 | 40.9 | 94.1 | **82.4** | 81.2 | 99.5 | 79.1 ± 1.0 | dots.ocr repo |
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+
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+ ## Examples
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+
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+ <img src="handwritten_form.png" width="600px"/>
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+
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+ | Type | Name | Link |
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+ |------|------|------|
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+ | Tables | Water Damage Form | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/tables/water_damage.png) |
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+ | Tables | 10K Filing | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/tables/10k.png) |
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+ | Forms | Handwritten Form | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/forms/handwritten_form.png) |
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+ | Forms | Lease Agreement | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/forms/lease.png) |
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+ | Handwriting | Doctor Note | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/handwriting/doctor_note.png) |
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+ | Handwriting | Math Homework | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/handwriting/math_hw.png) |
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+ | Books | Geography Textbook | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/books/geo_textbook_page.png) |
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+ | Books | Exercise Problems | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/books/exercises.png) |
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+ | Math | Attention Diagram | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/math/attn_all.png) |
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+ | Math | Worksheet | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/math/worksheet.png) |
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+ | Math | EGA Page | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/math/ega.png) |
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+ | Newspapers | New York Times | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/newspapers/nyt.png) |
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+ | Newspapers | LA Times | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/newspapers/la_times.png) |
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+ | Other | Transcript | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/other/transcript.png) |
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+ | Other | Flowchart | [View](https://github.com/datalab-to/chandra/blob/master/assets/examples/other/flowchart.png) |
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+
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+ ## Usage
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+
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+ ### Installation
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+
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+ ```shell
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+ pip install chandra-ocr
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+ ```
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+
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+ ### From code
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+
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+ ```python
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+
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+ from chandra.model import InferenceManager
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+ from chandra.model.schema import BatchInputItem
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+
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+ # Run chandra_vllm to start a vLLM server first if you pass vllm, else pass hf
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+ # you can also start your own vllm server with the datalab-to/chandra model
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+ manager = InferenceManager(method="vllm")
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+ batch = [
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+ BatchInputItem(
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+ image=PIL_IMAGE,
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+ prompt_type="ocr_layout"
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+ )
105
+ ]
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+ result = manager.generate(batch)[0]
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+ print(result.markdown)
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+ ```
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+
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+ ### With transformers
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+
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+ ```python
113
+ from transformers import AutoModel, AutoProcessor
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+ from chandra.model.hf import generate_hf
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+ from chandra.model.schema import BatchInputItem
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+ from chandra.output import parse_markdown
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+
118
+ model = AutoModel.from_pretrained("datalab-to/chandra").cuda()
119
+ model.processor = AutoProcessor.from_pretrained("datalab-to/chandra")
120
+
121
+ batch = [
122
+ BatchInputItem(
123
+ image=PIL_IMAGE,
124
+ prompt_type="ocr_layout"
125
+ )
126
+ ]
127
+
128
+ result = generate_hf(batch, model)[0]
129
+ markdown = parse_markdown(result.raw)
130
+ ```
131
+
132
+ # Credits
133
+
134
+ Thank you to the following open source projects:
135
+
136
+ - [Huggingface Transformers](https://github.com/huggingface/transformers)
137
+ - [VLLM](https://github.com/vllm-project/vllm)
138
+ - [olmocr](github.com/allenai/olmocr)
139
+ - [Qwen 3 VL](https://github.com/QwenLM/Qwen3)
added_tokens.json ADDED
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+ {
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+ "</think>": 151668,
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+ "</tool_call>": 151658,
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+ "</tool_response>": 151666,
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+ "<tool_response>": 151665,
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+ "<|box_end|>": 151649,
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+ "<|box_start|>": 151648,
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+ "<|endoftext|>": 151643,
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+ "<|file_sep|>": 151664,
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+ "<|fim_middle|>": 151660,
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+ "<|fim_pad|>": 151662,
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+ "<|fim_prefix|>": 151659,
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+ "<|fim_suffix|>": 151661,
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+ "<|im_end|>": 151645,
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+ "<|im_start|>": 151644,
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+ "<|image_pad|>": 151655,
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+ "<|object_ref_end|>": 151647,
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+ "<|object_ref_start|>": 151646,
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+ "<|quad_end|>": 151651,
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+ "<|quad_start|>": 151650,
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+ "<|repo_name|>": 151663,
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+ "<|video_pad|>": 151656,
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+ "<|vision_end|>": 151653,
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+ "<|vision_pad|>": 151654,
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+ "<|vision_start|>": 151652
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+ }
bench.png ADDED
chat_template.jinja ADDED
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+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0].role == 'system' %}
4
+ {%- if messages[0].content is string %}
5
+ {{- messages[0].content }}
6
+ {%- else %}
7
+ {%- for content in messages[0].content %}
8
+ {%- if 'text' in content %}
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+ {{- content.text }}
10
+ {%- endif %}
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+ {%- endfor %}
12
+ {%- endif %}
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+ {{- '\n\n' }}
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+ {%- endif %}
15
+ {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
16
+ {%- for tool in tools %}
17
+ {{- "\n" }}
18
+ {{- tool | tojson }}
19
+ {%- endfor %}
20
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+ {%- else %}
22
+ {%- if messages[0].role == 'system' %}
23
+ {{- '<|im_start|>system\n' }}
24
+ {%- if messages[0].content is string %}
25
+ {{- messages[0].content }}
26
+ {%- else %}
27
+ {%- for content in messages[0].content %}
28
+ {%- if 'text' in content %}
29
+ {{- content.text }}
30
+ {%- endif %}
31
+ {%- endfor %}
32
+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
34
+ {%- endif %}
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+ {%- endif %}
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+ {%- set image_count = namespace(value=0) %}
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+ {%- set video_count = namespace(value=0) %}
38
+ {%- for message in messages %}
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+ {%- if message.role == "user" %}
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+ {{- '<|im_start|>' + message.role + '\n' }}
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+ {%- if message.content is string %}
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+ {{- message.content }}
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+ {%- else %}
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+ {%- for content in message.content %}
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+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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+ {%- set image_count.value = image_count.value + 1 %}
47
+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
48
+ <|vision_start|><|image_pad|><|vision_end|>
49
+ {%- elif content.type == 'video' or 'video' in content %}
50
+ {%- set video_count.value = video_count.value + 1 %}
51
+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
52
+ <|vision_start|><|video_pad|><|vision_end|>
53
+ {%- elif 'text' in content %}
54
+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "assistant" %}
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+ {{- '<|im_start|>' + message.role + '\n' }}
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+ {%- if message.content is string %}
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+ {{- message.content }}
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+ {%- else %}
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+ {%- for content_item in message.content %}
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+ {%- if 'text' in content_item %}
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+ {{- content_item.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {%- if message.tool_calls %}
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+ {%- for tool_call in message.tool_calls %}
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+ {%- if (loop.first and message.content) or (not loop.first) %}
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+ {{- '\n' }}
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+ {%- endif %}
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+ {%- if tool_call.function %}
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+ {%- set tool_call = tool_call.function %}
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+ {%- endif %}
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+ {{- '<tool_call>\n{"name": "' }}
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+ {{- tool_call.name }}
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+ {{- '", "arguments": ' }}
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+ {%- if tool_call.arguments is string %}
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+ {{- tool_call.arguments }}
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+ {%- else %}
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+ {{- tool_call.arguments | tojson }}
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+ {%- endif %}
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+ {{- '}\n</tool_call>' }}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '<|im_end|>\n' }}
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+ {%- elif message.role == "tool" %}
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+ {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
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+ {{- '<|im_start|>user' }}
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+ {%- endif %}
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+ {{- '\n<tool_response>\n' }}
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+ {%- if message.content is string %}
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+ {{- message.content }}
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+ {%- else %}
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+ {%- for content in message.content %}
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+ {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
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+ {%- set image_count.value = image_count.value + 1 %}
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+ {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
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+ <|vision_start|><|image_pad|><|vision_end|>
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+ {%- elif content.type == 'video' or 'video' in content %}
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+ {%- set video_count.value = video_count.value + 1 %}
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+ {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
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+ <|vision_start|><|video_pad|><|vision_end|>
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+ {%- elif 'text' in content %}
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+ {{- content.text }}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- endif %}
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+ {{- '\n</tool_response>' }}
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+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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+ {{- '<|im_end|>\n' }}
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+ {%- endif %}
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+ {%- endif %}
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+ {%- endfor %}
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+ {%- if add_generation_prompt %}
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+ {{- '<|im_start|>assistant\n' }}
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+ {%- endif %}
config.json ADDED
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+ "_attn_implementation_autoset": false,
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+ "architectures": [
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+ "mrope_interleaved": true,
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+ "mrope_section": [
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+ 20,
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+ 20
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+ "tie_word_embeddings": false,
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+ "deepstack_visual_indexes": [
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+ 8,
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+ 16,
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+ 24
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+ "dtype": "bfloat16",
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+ "hidden_size": 1152,
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+ "in_channels": 3,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 4304,
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+ "model_type": "qwen3_vl",
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+ "num_position_embeddings": 2304,
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+ "out_hidden_size": 4096,
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+ "patch_size": 16,
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+ "spatial_merge_size": 2,
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+ "temporal_patch_size": 2
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+ },
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+ "vision_end_token_id": 151653,
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+ "vision_start_token_id": 151652
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+ }
generation_config.json ADDED
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+ "do_sample": true,
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+ "temperature": 0.7,
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