(Please refer the Styling JSONįor a description of the output when the styling option is enabled.) The structuredData.json file with the extracted content & PDFĭescription of the default output.The output of an SDK extract operation is a zip package containing the Please subscribe if you’d like to get an email notification whenever I post a new article.PDF Accessibility Auto-Tag API Early Access Program You can sign up for a membership to unlock full access to my articles, and have unlimited access to everything on Medium. If you enjoy this article and would like to Buy Me a Coffee, please click here. Extract PDF Text While Preserving Whitespaces Using Python and Pytesseract.How to Convert Scanned Files to Searchable PDF Using Python and Pytesseract.Scrape Data from PDF Files Using Python and tabula-py.Scrape Data from PDF Files Using Python and PDFQuery.If you would like to continue exploring PDF scraping, please check out my other articles: all_files = for (path,dirs,files) in os.walk('images_folder'): for file in files: file = os.path.join(path, file) all_files.append(file)pdf_writer = PyPDF2.PdfFileWriter() for file in all_files: page = pytesseract.image_to_pdf_or_hocr(file, extension='pdf') pdf = PyPDF2.PdfFileReader(io.BytesIO(page)) pdf_writer.addPage(pdf.getPage(0)) with open("searchable.pdf", "wb") as f: pdf_writer.write(f) If you would like to convert a lot of images in the same folder into a single searchable PDF file, you can use os.walk to create a list of paths for all the image files in the same folder, then use the same functions mentioned above to process the images and export into a single searchable PDF file. Image by Author Convert Multiple Images in the same folder to a Single searchable PDF image_to_pdf_or_hocr('Receipt.PNG', extension='pdf') # export to searchable.pdf with open("searchable.pdf", "w+b") as f: f.write(bytearray(PDF)) If you want to convert scanned files in image formats (such as, tif, png, jpg) into a searchable PDF. pytesseract.image_to_string('example.tif') pytesseract.image_to_string('example.jpg') pytesseract.image_to_string('example.png') Convert an Image to Searchable PDF images = convert_from_path('example.pdf', poppler_path=poppler_path) ocr_text = '' for i in range(len(images)): page_content = pytesseract.image_to_string(images) page_content = '***PDF Page ***\n'.format(i+1) + page_content ocr_text = ocr_text + ' ' + page_content Not just PDF, Pytesseract Works for Image Files as wellĪnother advantage of using pytesseract instead other packages is it can directly extract text from an image file. If there are multiple pages in a PDF, we can simply use a loop function to combine text from all the pages. Image by Author Handle Multiple Pages in PDF # convert PDF to image images = convert_from_path('examle.pdf', poppler_path=poppler_path) # Extract text from image ocr_text = pytesseract.image_to_string(images) As you can see, in this example, whitespaces between words are correctly specified. and “pytesseract.image_to_string” is used to extract the text from the image. “convert_from_path” is used to convert PDF into an image. poppler_path = '.\pdf2image_poppler\Release-22.01.0-0\poppler-22.01.0\Library\bin' _cmd = r'C:\Program Files\Tesseract-OCR\tesseract.exe' Alternatively, you can directly include their paths in the program. Import Libraries import pytesseract from pdf2image import convert_from_path Initialize pytesseract and pdf2imageĪfter you download and install the software, you can add their executable paths into Environment Variables.
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