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.
- Java 8+
- Python 3.8+
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.
- FAQ would be helpful if you have an issue
- Example notebook on Google Colaboratory
Ensure you have a Java runtime and set the PATH for it.
pip install tabula-py
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.
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-pyto people who might be able to benefit from using it.
You can also support our continued work on
tabula-py with a donation on GitHub Sponsors or Patreon.