This guide contains information on how to extract text from PDF using Python. It has all the details to set the environment, a list of steps, and a sample code to rip text from PDF with a few API calls using Python. You will learn to read data from single or multiple PDF files and display the text returned from this process.

Steps to Grab Text from PDF using Python

1. Set the environment to use Aspose.OCR for Python via .NET to read a PDF
2. Create the AsposeOcr object to rip text from a PDF
3. Create the OcrInput class object and set the input type to PDF
4. Add PDF files to the input collection
5. Call the recognize() method to read data from the PDF collection
6. Display the recognition text from the returned collection

These steps summarize the process to extract text from PDF document using Python. Create the AsposeOcr class object that contains methods to recognize text from PDF and many other formats. Use the OcrInput class object to set the input type to PDF and adding the input collection of PDF files. Finally, call the recognize() method and display the returned text.

Code to Extract Text out of PDF using Python

This code demonstrates the development of a PDF OCR reader using Python. The AsposeOcr class contains a number of properties and methods to customize the recognition process such as you can calculate the skew, correct the spellings in the detected text, and detect rectangle. If you add multiple PDF files, all the text from the PDFs is returned as a collection of the strings that can be displayed by iterating the returned collection.

This article has taught us the process to extract text from PDF. To extract text from images, refer to the article on Extract text from image using Python.