tabula-py 2.9.1

Simple wrapper for tabula-java, read tables from PDF into DataFrame

tabula-py

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

You can see the example notebook and try it on Google Colab, or we highly recommend reading our documentation, especially the FAQ section.

Requirements

• Java 8+
• Python 3.8+

OS

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

Usage

• Documentation
  • FAQ would be helpful if you have an issue
• Example notebook on Google Colaboratory

Install

Ensure you have a Java runtime and set the PATH for it.

pip install tabula-py

If you want to leverage faster execution with jpype, install with jpype extra.

pip install tabula-py[jpype]

Example

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

import tabula

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

# Read remote pdf into list of DataFrame
dfs2 = 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 an example notebook for more details. I also recommend reading the tutorial article written by @aegis4048, and another tutorial written by @tdpetrou.

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 spread the word about tabula-py to people who might be able to benefit from using it.

Contributors

• @lahoffm
• @jakekara
• @lcd1232
• @kirkholloway
• @CurtLH
• @nikhilgk
• @krassowski
• @alexandreio
• @rmnevesLH
• @red-bin
• @Gallaecio
• @red-bin
• @alexandreio
• @bpben
• @Bueddl
• @cjotade
• @codeboy5
• @manohar-voggu
• @deveshSingh06
• @grfeller
• @djbrown
• @swar
• @mvoggu
• @tdpetrou

Another support

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