3 Best OCR PDF Python Methods to Convert Scanned PDF

Many industries and organizations heavily rely on OCR technology to make scanned PDFs accessible. Tech-based departments usually need this technology to extract useful information with Python. Notably, Python has a rich ecosystem of libraries like the Tesseract and PyMuPDF that allow users to convert these scanned PDFs into editable text.

Anyhow, this article will provide you with the best OCR PDF Python that can help you convert important scanned PDFs into searchable and editable text. Moreover, it will look at a more comprehensive approach to converting scanned PDFs into editable text with UPDF.

Part 1. How to OCR PDF Using Python?

As discussed before, Python contains a wide variety of libraries that cater to different actions and provide you with an editable file. To ease the selection, this part has listed some of the best Python OCR PDFs with easy-to-follow steps:

1. Use pdf2image + pytesseract to OCR PDF

The pdf2image Python library is mostly used for converting PDF pages into a sequence of images, which can later be processed by the pytesseract tool for Python. The assorted open-source OCR Engine, Tesseract, has the ability to support more than 100 languages, while turning text into alphabetical symbols and characters. We have outlined the steps of OCR PDF to text Python using these two utilities as follows:

Step 1. Install Tesseract on your device and open the "Command Prompt" to run the following command: pip install pdf2image pytesseract. Once the installation of required libraries is completed, you can proceed with the PDF data extraction with ease.

install tesseract and enter command

Step 2. Now, convert the PDF pages into images using the following commands with pdf2image:

add command for pdf to images

Step 3. After that, extract all the necessary text from the PDF image using pytesseract's ability to successfully perform OCR on the PDF.

give prompt to extract text

If you find the process of using pdf2image and pytesseract too complex, try UPDF, which offers a simpler way to perform OCR on PDFs. With an intuitive interface, UPDF eliminates the need for coding and allows you to extract and copy text from scanned PDFs and images in just a few clicks. It's a faster and more effective way to perform OCR without relying on Python tools.

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2. Use PyMuPDF + EasyOCR to OCR PDF

Another brilliant set of Python libraries includes PyMuPDF, which is capable of extraction, analysis, and conversion functionalities. Whereas EasyOCR is an open-source library that supports multiple languages, is pre-trained to recognize text, and is embedded with different identification models. It efficiently detects text in images and provides you with an editable PDF file. You can learn to use these OCR PDF Pythons by following the given steps:

Step 1. First, install the required Python packages of PyMuPDF and EasyOCR using the following command:

install packages of python

Step 2. Once the installation is completed, you can begin the conversion of PDF pages into PNGs with the help of the PyMuPDF.

begin conversion with pymupdf

Step 3. Upon doing so, the OCR function can be performed by the EasyOCR to convert the converted pages into editable text.

perform ocr by easyocr

3. Use OCRmyPDF + PDFPlumber to OCR PDF

Users can find other Python libraries that can preserve the original layout and add an OCR layer over the PDFs, like OCRmyPDF. Furthermore, with the help of the PDFPlumber library, users can extract text from these PDFs and utilize them for their needs. This is a straightforward process that you can learn by following these steps and seamlessly using these OCR PDF Python libraries:

Step 1. Start by installing the OCRmyPDF library and run the command pip install ocrmypdf --quiet to generate the modified PDF. You can easily search your PDF output on the command and begin the extraction.

run ocrmypdf command
search pdf output giving command

Step 2. Run the following command to install the PDFPlumber library and extract the desired pages from the scanned PDF file into editable text:

enter command to install pdfplumber
extract pages from scanned pdf

Part 2. How to OCR PDF More Easily Without Python?

While Python can make the conversion process smoother, it is not a piece of cake for beginners and users with no technical skills. While searching for an easier alternative, you should head towards UPDF, which is an AI-powered PDF editor tool designed to cater to your basic needs. With advanced OCR technology, it can recognize up to 38 languages and convert any scanned PDF, document, and image into editable and searchable text. Moreover, it your PDF contains more than 2 different languages, it also supports for recognizing. Besides, after turning the scanned PDF or image to text, you can utilize its editing tools to make the edits you want.

UPDF's OCR feature

You can customize the conversion process by selecting the desired page range, language, layout, and DPI. UPDF can convert files into editable PDFs with high-quality precision and 99% accuracy. It also ensures that the PDF's formatting, layout, and structure remain intact after the OCR.   

Guide on How to Perform OCR to Scanned PDFs Using UPDF

As you have found an exceptional alternative to OCR PDF to text Python, follow the given operational guide. Through it, learn how you can turn a scanned image or document into an editable file using this alternative, UPDF:

Step 1. Open UPDF and Import the Desired PDF

After downloading and installing UPDF on your computer, launch and access the main interface. Now, click the "Open File" button to import the scanned PDF from the dialogue box.

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Step 2. Access and Perform OCR

When the PDF opens in the "Reader" window, head to the right-side panel and press the "OCR" icon. After the extended menu appears, choose the "Searchable PDF" option under the "Document Type" section and make suitable changes. Select the correct language of your PDF document. Once satisfied, hit the "Perform OCR" button and save the file with an OCR copy on your device.

choose the document, layouts, and language

Step 3. Edit the Content of the PDF

Now, you can switch to the Edit mode, select the text, images, or links from the document and make desirable changes. You can also copy the text in the PDF.

edit the converted PDF

Conclusion

In conclusion, this article dives into understanding different OCR PDF Python libraries, such as pdf2image, EasyOCR, and more. These are responsible for turning PDF pages into images; others can turn these images into editable text.

Since this guide looked at the best 4 methods of performing OCR with comprehensive steps, it is evident that the simplest one is UPDF. This software can not only turn any PDF into an editable file but also lets you personalize, copy, extract, and export to other formats with ease.

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