How to import Tables from PDF to CSV, TSV, JSON PDFTables using Tabula in 3 Lines of Code
In this tutorial, I’ll teach you how to convert and extract tables from pdf to CSV, TSV, JSON format in just three lines of code.
Step 1. Setup tabula (one line code)
Step 2. Import tabula
Step 3. Convert pdf
Introduction
tabula-py is a tool for convert PDF tables to pandas DataFrame. tabula-py is a wrapper of tabula-java, which requires java on your machine. tabula-py also enables you to convert tables in a PDF into CSV, TSV, JSON files.
tabula-py’s PDF extraction accuracy is the same as tabula-java or tabula app; GUI tool of tabula, so if you want to know the performance of tabula-py, I highly recommend you to try tabula app.
tabula-py is good for:
automation with Python script
advanced analytics after converting pandas DataFrame
casual analytics with Jupyter notebook or Google Colabolatory
Step 1
tabula-py requires a java environment, so let’s check the java environment on your machine.
Open your terminal or CMD, enter
java -versionAfter confirming the java environment, install tabula-py by using pip. again run in terminal or cmd
pip install -q tabula-pyStep 2
Open your favorite IDE and write the below program
import tabula#check your environment via tabula-py,which shows Python, Java #version, Java version, and your OS environment.
tabula.environment_info()#
pdf_path = "/path/to/you/pdf/file"# read pdf as CSV
tabula.convert_into(pdf_path, "test.csv", pages="all", output_format="csv", stream=True)
Save the file and run it will convert pdf to your required format.
Example Notebook
Tabula-py
Custom Requests
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About Author:
Asim is an applied research data engineer with a passion for developing impactful products. He possesses expertise in building data platforms and has a proven track record of success as a dual Kaggle expert. Asim has held leadership positions such as Google Developer Student Club (GDSC) Lead and AWS Educate Cloud Ambassador, which have allowed him to hone his skills in driving business success.
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