This article explains how to convert scanned PDF to Word using Python. It will provide details on setting up the IDE for development, a list of steps, and sample code to convert scanned PDF to Word document using Python. Code enhancement will also be discussed at the end of the article to generate custom output.

Steps to Convert Scanned PDF into Word Document using Python

1. Set the environment to use Aspose.Total for Python via .NET for OCR and Words products
2. Create and configure an OCR engine to read English text from the text area in a PDF page
3. Load the scanned PDF file into the OCR engine
4. Run the text recognition process to extract text from each page
5. Create a new Empty Word file using the aspose.words.Document class and link with a builder
6. Iterate through each page’s extracted text from the PDF
7. Write each text on the Word file
8. Save the Word file

These steps describe how to transform scanned PDF to Word using Python. Import the desired modules from the Aspose library, set the input/output file names, create the OCR engine, configure it to read English text from automatically detected text areas, and add one or more PDF files for detection. Run the recognition process to fetch text from the PDF, save the result in a list, create an empty Word file with a builder, and add the detected text from the list to the Word file.

Code to Convert Scanned PDF File to Word using Python

This code demonstrates how to change scanned PDF to Word using Python. You may set the detection mode according to the format of the actual layout, such as table-oriented for better area detection. To improve character accuracy, turn on upscaling of the fonts to detect small or dense print.

This article explains how to apply OCR to a PDF and save the resulting text to a Word file. To extract a table from a PDF file and save it in an Excel file, refer to the article Extract a Table from PDF to Excel using Python.