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PDF Parsing in Notebook

Kamal2
New Contributor II

I have pdf files stored in azure adls.

i want to parse pdf files in pyspark dataframes

how can i do that ?

1 ACCEPTED SOLUTION

Accepted Solutions

morganmazouchi
Databricks Employee
Databricks Employee

If you have familiarity with Scala you can use Tika. Tika is a wrapper around PDFBox. In case you want to use it in Databricks I suggest you to go through this blog and Git repo. For python based codes you may want to use PyPDF2 as a pandas UDF in Spark.

View solution in original post

3 REPLIES 3

-werners-
Esteemed Contributor III

I know of Apache Tika. But that is a java lib and I do not know if there are python bindings.

Pypi has a python version though:

https://pypi.org/project/tika/

It might help.

morganmazouchi
Databricks Employee
Databricks Employee

If you have familiarity with Scala you can use Tika. Tika is a wrapper around PDFBox. In case you want to use it in Databricks I suggest you to go through this blog and Git repo. For python based codes you may want to use PyPDF2 as a pandas UDF in Spark.

Mykola_Melnyk
New Contributor II

Please look to the PDF DataSource for Apache Spark.

This project provides a custom data source for the Apache Spark that allows you to read PDF files into the Spark DataFrame. And here notebook with example of usage.

df = spark.read.format("pdf") \
    .option("imageType", "BINARY") \
    .option("resolution", "200") \
    .option("pagePerPartition", "2") \
    .option("reader", "pdfBox") \
    .load("path to the pdf file(s)")

df.show()

  

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