The process through which OCR hand converts human-readable data to machine-readable is actually quite simple and follows the steps below: The hardware makes data from scanned images of text or documents while the software handles the processing. The accuracy of OCR systems relies on the correlation between hardware and software to accomplish their task. Allows you to customize the output of image_to_data.Optical Character Recognition ( OCR ) is the use of technology to convert handwritten or image text from human-understandable to machine-readable form. Dictionary with custom arguments for pandas.read_csv. pandas_config Dict – only for the Output.DATAFRAME type.timeout Integer or Float – duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError.For the full list of all supported types, please check the definition of pytesseract.Output class. output_type Class attribute – specifies the type of the output, defaults to string.Nice adjusts the niceness of unix-like processes. nice Integer – modifies the processor priority for the Tesseract run.config String – Any additional custom configuration flags that are not available via the pytesseract function.Defaults to eng if not specified! Example for multiple languages: lang='eng fra' lang String – Tesseract language code string.If you pass object instead of file path, pytesseract will implicitly convert the image to RGB mode. image Object or String – PIL Image/NumPy array or file path of the image to be processed by Tesseract.Image_to_data(image, lang=None, config='', nice=0, output_type=Output.STRING, timeout=0, pandas_config=None) Gives a bit more control over the parameters that are sent to tesseract. run_and_get_output Returns the raw output from Tesseract OCR.image_to_alto_xml Returns result in the form of Tesseract’s ALTO XML format.image_to_osd Returns result containing information about orientation and script detection.For more information, please check the Tesseract TSV documentation image_to_data Returns result containing box boundaries, confidences, and other information.image_to_boxes Returns result containing recognized characters and their box boundaries. image_to_string Returns unmodified output as string from Tesseract OCR processing.get_tesseract_version Returns the Tesseract version installed in the system.get_languages Returns all currently supported languages by Tesseract OCR.image_to_string( image, lang = 'chi_sim', config = tessdata_dir_config) tessdata_dir_config = r'-tessdata-dir ""' pytesseract. # Example config: r'-tessdata-dir "C:\Program Files (x86)\Tesseract-OCR\tessdata"' # It's important to add double quotes around the dir path. Support for OpenCV image/NumPy array objects image_to_pdf_or_hocr( 'test.png', extension = 'hocr') write( pdf) # pdf type is bytes by default # Get HOCR output hocr = pytesseract. image_to_pdf_or_hocr( 'test.png', extension = 'pdf')į. # Get a searchable PDF pdf = pytesseract. # Get information about orientation and script detection print( pytesseract. # Get verbose data including boxes, confidences, line and page numbers print( pytesseract. # Tesseract processing is terminated pass # Get bounding box estimates print( pytesseract. image_to_string( 'test.jpg', timeout = 0.5)) # Timeout after half a second except RuntimeError as timeout_error: image_to_string( 'test.jpg', timeout = 2)) # Timeout after 2 seconds print( pytesseract. # Timeout/terminate the tesseract job after a period of time try: # Batch processing with a single file containing the list of multiple image file paths print( pytesseract. # In order to bypass the image conversions of pytesseract, just use relative or absolute image path # NOTE: In this case you should provide tesseract supported images or tesseract will return error print( pytesseract. open( 'test-european.jpg'), lang = 'fra')) # French text image to string print( pytesseract. # List of available languages print( pytesseract. tesseract_cmd = r'' # Example tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract' # Simple image to string print( pytesseract. Import Image import pytesseract # If you don't have tesseract executable in your PATH, include the following: pytesseract. From PIL import Image except ImportError:
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