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tabula-py

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tabula-py is a simple Python wrapper of tabula-java, which can read table of PDF. You can read tables from PDF and convert into pandas's DataFrame. tabula-py also enables you to convert a PDF file into CSV/TSV/JSON file.

You can see the example notebook and try it on Google Colab, or we highly recommend to read our document especially for FAQ.

Requirements

  • Java 8+
  • Python 3.5+

OS

I confirmed working on macOS and Ubuntu. But some people confirm it works on Windows 10. See also the document for the detailed installation for Windows 10.

Usage

Install

Ensure you have Java runtime and set PATH for it.

pip install tabula-py

Example

tabula-py enables you to extract table from PDF into DataFrame and JSON. It also can extract tables from PDF and save file as CSV, TSV or JSON.

import tabula

# Read pdf into list of DataFrame
df = tabula.read_pdf("test.pdf", pages='all')

# Read remote pdf into list of DataFrame
df2 = tabula.read_pdf("https://github.com/tabulapdf/tabula-java/raw/master/src/test/resources/technology/tabula/arabic.pdf")

# convert PDF into CSV file
tabula.convert_into("test.pdf", "output.csv", output_format="csv", pages='all')

# convert all PDFs in a directory
tabula.convert_into_by_batch("input_directory", output_format='csv', pages='all')

See example notebook for more detail. I also recommend to read the tutorial article written by @aegis4048.

Contributing

Interested in helping out? I'd love to have your help!

You can help by:

  • Reporting a bug.
  • Adding or editing documentation.
  • Contributing code via a Pull Request. See also for the contribution
  • Write a blog post or spreading the word about tabula-py to people who might be able to benefit from using it.

Contributors

Another support

You can also support our continued work on tabula-py with a donation on Patreon.

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Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

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