This tutorial describes how to convert scanned PDF to editable PDF using Python. It has details to set the IDE, a list of steps, and a sample code to make PDF readable using Python. You will learn the customization of the recognition by setting various parameters exposed by the API.

Steps to Convert PDF to Searchable PDF using Python

1. Set the IDE to use Aspose.OCR for Python via Java to scan a PDF
2. Import the library and initialize a license
3. Create a recognition engine using the AsposeOcr class object
4. Instantiate the OcrInput object to configure the input using the scanned PDF
5. Define the RecognitionSettings object by setting the parameters to control the scanning process
6. Call the engine.recognize() method by passing the input object and recognition settings
7. Save the results as a PDF with maximum quality

These steps describe how to transform a PDF image to PDF text using Python. Instantiate the recognition engine using the AsposeOcr class, define the input using the OcrInput object, and instantiate the RecognitionSettings object for setting the desired parameters. Finally, call the recognize() method to scan the PDF file and save the result of the recognition process as a PDF file using the save_pdf() method.

Code to Convert PDF Picture to Text using Python

This sample code demonstrates how to convert scanned PDF to searchable PDF using Python. The save_pdf() method renders the PDF background as it is and places the scanned text over it. The developers can set parameters such as detection language, detection areas, level of accuracy, and performance.

This article has taught us the process to change a scanned PDF to a readable PDF. To extract data from invoices, refer to the article Data Extraction from Invoices using Python.