This could improve the OCR recognition by PyTesseract significantly for some images. Scale the image to the optimal sizeĭepending on the image you can increase the size of the image: double the width and height. The lighter version is performing much better in comparison to the dark one. It may work for you just fine, it wasn't designed to run on your platform. While the bad example is here and the result is: De ee ec Ec Please keep this in mind if you run into problems. May work for you just fine, it wasn't designed to run on your platform. You are running Workbench on an unsupported operating system. The good version is and the ouput is: Unsupported Operating System How to improve the OCR results Use white color themes (dark text on white background)īelow you can see two examples of a good and a bad image containing one and the same text but giving completely different results: Text = pytesseract.image_to_string(im, lang='eng') Then open image by image and extract the text: from PIL import Imageįor root, dirs, filenames in os.walk(indir): If you have more than one image you can iterate over all and extract the text by os.walk. Only for PDF example you need to install imagemagick binding of python 3: pip install wand Text = pytesseract.image_to_string(image, lang = 'eng') ImageBlobs.append(imgPage.make_blob('jpeg')) PdfFile = wi(filename = ""/home/user/sample.pdf"", resolution = 300) read images one by one and extract the text with pytesseract / tesserct-ocr.Note: For more information, refer to Working with PDF files in Python Installation To install this package type the below command in the terminal. This package can also be used to generate, decrypting and merging PDF files. open the PDF file with wand / imagemagick Python package PyPDF can be used to achieve what we want (text extraction), although it can do more than what we need.OCR or text extraction from PDF is divided in several steps: Python OCR(Optical Character Recognition) for PDF install pill and pytesseract(used for connection to tesseract-ocr):.You need to run this in your terminal or pip console: In order the code above to work you may need(unless you have them) the following additional packages. Here you can find list of other languages: Str = pytesseract.image_to_string(file, lang='eng') You will need to import pil and pytesseract: from PIL import Imageįile = Image.open("/home/user/sample.png") You could find interesting this summary python post: Python useful tips and reference projectīelow you can find simple python 3 example of reading image file and outputting the text to the console. Examples of extraction for tabular data with python.Extract tabular data from PDF with Python - Tabula, Camelot, PyPDF2.You can watch video demonstration of extraction from image and then from PDF files: Python's binding pytesseract for tesserct-ocr is extracting text from image or PDF with great success: str = pytesseract.image_to_string(file, lang='eng') Python extract text from multiple images in folder.Python OCR(Optical Character Recognition) for PDF.
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