Path_to_image = 'images/sampletext1-ocr.png'
Path_to_tesseract = r'C:\Program Files\Tesseract-OCR\tesseract.exe' Now we have everything we need and can easily extract text from image using Python: On Windows it should reside in: C:\Program Files\Tesseract-OCR\tesseract.exe The path to the image we need is: images/sampletext1-ocr.pngĪnother path we need is the path to the tessaract.exe which was created after the installation. Here are the three images we will use in this tutorial:Īll images are placed in the folder images and the code resides in main.py In order to continue in this tutorial we will need some images to work with.
#Pdf extract text from image install#
If you don’t have the Python libraries installed, please open “Command Prompt” (on Windows) and install them using the following code: For Windows, you can find the latest version of Tesseract installer here. Since we are working with images, we will also need the pillow library which adds image processing capabilities to Python.įirst, search for the Tesseract installer for your operating system. In order to use it in Python, we will also need the pytesseract library which is a wrapper for Tesseract engine. Tesseract is an open source OCR (optical character recognition) engine which allows to extract text from images. To continue following this tutorial we will need: OCR (Optical Character Recognition) is an electronic computer-based approach to convert images of text into machine-encoded text, which can then be extracted and used in text format. Extracting text from images is a very popular task in the operations units of the business (extracting information from invoices and receipts) as well as in other areas.
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