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README.md
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## BibTex
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## Tips to improve accuracy
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1. Increasing the image resolution will improve model's performance.
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2. For complex tables (eg. finantial documents) using `repetition_penalty=1` gives better results. You can try this prompt also, which generally works better for finantial documents.
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```python
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user_prompt = """Extract the text from the above document as if you were reading it naturally. Return the tables in html format. Return the equations in LaTeX representation. If there is an image in the document and image caption is not present, add a small description of the image inside the <img></img> tag; otherwise, add the image caption inside <img></img>. Watermarks should be wrapped in brackets. Ex: <watermark>OFFICIAL COPY</watermark>. Page numbers should be wrapped in brackets. Ex: <page_number>14</page_number> or <page_number>9/22</page_number>. Prefer using ☐ and ☑ for check boxes."""
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```
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3. This is already implemented in [Docstrange](https://docstrange.nanonets.com/?output_type=markdown-financial-docs), please use the `Markdown (Finantial Docs)` option for processing table heavy finantial documents.
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```python
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import requests
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url = "https://extraction-api.nanonets.com/extract"
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headers = {"Authorization": <API KEY>}
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files = {"file": open("/path/to/your/file", "rb")}
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data = {"output_type": "markdown-financial-docs"}
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response = requests.post(url, headers=headers, files=files, data=data)
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print(response.json())
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```
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## BibTex
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