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README.md
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license: openrail
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license: openrail
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<h3 align="center">PDF Reading Order</h3>
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<p align="center">A model for determining the correct reading order of the PDF files.</p>
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This model uses features from a given PDF to determine it's correct reading order.
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## Quick Start
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This model originally working on our two other models, which are pdf-token-type and pdf-paragraphs-extraction.
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The reason for using paragraph extraction model here is to find & extract "figure" and "table" tokens and reduce the complexity of a given PDF page - since figures and tables are including lots of tokens.
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So, for our paragraph extraction model's details, you can refer to these links:
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https://huggingface.co/HURIDOCS/pdf-segmetation
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https://github.com/huridocs/pdf_paragraphs_extraction.git
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You can clone the repo via this link:
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https://github.com/huridocs/pdf-reading-order
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First, the candidate selector model selects the tokens that could be the next token.
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Then, we are passing the best 18 tokens to the reading order model that candidate selector model selected.
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Reading order model decides the final reading orders of the tokens.
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## Performance
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Test Accuracy : 16 Mistakes/11438 Labels (99.86%)
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Average Accuracy: 431 Mistakes/184995 Labels (99.77%)
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Speed: ~0.65 seconds per page.
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