How to Extract Data from PDF using Python
You may need to extract data from your PDF or Word documents using a user-defined template. You can parse any document and extract fields and table data programmatically on the cloud. This article will explain how to extract specific data from PDF documents using a REST API in Python.
The following topics shall be covered in this article:
- Document Parser REST API and Python SDK
- Extract Data by Template Object using Python
- Extract Data by Template File using Python
Document Parser REST API and Python SDK
For parsing a PDF document and extracting data based on a template, I will be using the Python SDK of GroupDocs.Parser Cloud API. It allows you to parse data from all popular document types such as PDF documents, Microsoft Office documents, and OpenDocument file formats. You can extract text, images, and parse data by a template using the SDK. It also provides .NET, Java, PHP, Ruby, and Node.js SDKs as its document parser family members for the Cloud API.
You can install GroupDocs.Parser Cloud to your Python project with pip (package installer for python) using the following command in the console to extract information from pdf:
pip install groupdocs_parser_cloud
Please get your Client ID and Client Secret from the dashboard and add in the code as shown below:
Extract Data by Template Object using Python
You can extract data from PDF documents using a template by following the simple steps mentioned below:
- Upload the PDF file to the Cloud
- Template-based Data Extraction using Python
Upload the Document
First of all, upload the PDF document to the Cloud using the code example given below:
As a result, the uploaded PDF file will be available in the files section of your dashboard on the cloud.
Template-based Data Extraction using Python
Please follow the steps mentioned below to extract data from the PDF file based on the template programmatically.
- Create an instance of ParseApi
- Define ParseOptions and Set the path to the PDF file
- Create Template as an object
- Create ParseRequest
- Get results by calling the ParseApi.parse() method
The following code sample shows how to extract data according to the defined template from a PDF document using a REST API.
Please find below the template created according to the PDF document.
Extracted Data by parsing a document using template
Extract Data by Template File using Python
You can also extract data from the PDF document by providing a JSON-based template file programmatically. Please follow the steps mentioned below to parse the document by providing a template file.
- Create an instance of ParseApi
- Define ParseOptions
- Set the path to the PDF file
- Set the path to the template file
- Create ParseRequest
- Get results by calling the ParseApi.parse() method
The following code sample shows how to parse a PDF document and extract data according to the template provided in the JSON file using a REST API. Please follow the steps mentioned earlier to upload the files.
Please find below the template in JSON format.
Extract the PDF File Online
How to use pdf extractor online free? Please try the following free online PDF Parsing tool and free pdf page extractor. This online pdf extractor and extract pdf online free tool is developed using the above API. https://products.groupdocs.app/parser/pdf
Conclusion
In this article, you have learned how to extract specific data from PDF documents according to the provided template on the cloud. You also learned how to create a template object and provide a template in a JSON format. This article also explained how to programmatically upload a PDF file on the cloud for pdf data extraction online. You can learn more about GroupDocs.Parser Cloud API using the documentation. We also provide an API Reference section that lets you visualize and interact with our APIs directly through the browser.
Ask a question
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