pytesseract 0.3.13

USAGE

Quickstart

Note: Test images are located in the tests/data folder of the Git repo.

Library usage:

from PIL import Imageimport pytesseract# If you don't have tesseract executable in your PATH, include the following:pytesseract.pytesseract.tesseract_cmd = r'<full_path_to_your_tesseract_executable>'# Example tesseract_cmd = r'C:\Program Files (x86)\Tesseract-OCR\tesseract'# Simple image to stringprint(pytesseract.image_to_string(Image.open('test.png')))# 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 errorprint(pytesseract.image_to_string('test.png'))# List of available languagesprint(pytesseract.get_languages(config=''))# French text image to stringprint(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='fra'))# Batch processing with a single file containing the list of multiple image file pathsprint(pytesseract.image_to_string('images.txt'))# Timeout/terminate the tesseract job after a period of timetry: print(pytesseract.image_to_string('test.jpg', timeout=2)) # Timeout after 2 seconds print(pytesseract.image_to_string('test.jpg', timeout=0.5)) # Timeout after half a secondexcept RuntimeError as timeout_error: # Tesseract processing is terminated pass# Get bounding box estimatesprint(pytesseract.image_to_boxes(Image.open('test.png')))# Get verbose data including boxes, confidences, line and page numbersprint(pytesseract.image_to_data(Image.open('test.png')))# Get information about orientation and script detectionprint(pytesseract.image_to_osd(Image.open('test.png')))# Get a searchable PDFpdf = pytesseract.image_to_pdf_or_hocr('test.png', extension='pdf')with open('test.pdf', 'w+b') as f: f.write(pdf) # pdf type is bytes by default# Get HOCR outputhocr = pytesseract.image_to_pdf_or_hocr('test.png', extension='hocr')# Get ALTO XML outputxml = pytesseract.image_to_alto_xml('test.png')# getting multiple types of output with one call to save compute time# currently supports mix and match of the following: txt, pdf, hocr, box, tsvtext, boxes = pytesseract.run_and_get_multiple_output('test.png', extensions=['txt', 'box'])

Support for OpenCV image/NumPy array objects

import cv2img_cv = cv2.imread(r'/<path_to_image>/digits.png')# By default OpenCV stores images in BGR format and since pytesseract assumes RGB format,# we need to convert from BGR to RGB format/mode:img_rgb = cv2.cvtColor(img_cv, cv2.COLOR_BGR2RGB)print(pytesseract.image_to_string(img_rgb))# ORimg_rgb = Image.frombytes('RGB', img_cv.shape[:2], img_cv, 'raw', 'BGR', 0, 0)print(pytesseract.image_to_string(img_rgb))

If you need custom configuration like oem/psm, use the config keyword.

# Example of adding any additional optionscustom_oem_psm_config = r'--oem 3 --psm 6'pytesseract.image_to_string(image, config=custom_oem_psm_config)# Example of using pre-defined tesseract config file with optionscfg_filename = 'words'pytesseract.run_and_get_output(image, extension='txt', config=cfg_filename)

Add the following config, if you have tessdata error like: “Error opening data file…”

# Example config: r'--tessdata-dir "C:\Program Files (x86)\Tesseract-OCR\tessdata"'# It's important to add double quotes around the dir path.tessdata_dir_config = r'--tessdata-dir "<replace_with_your_tessdata_dir_path>"'pytesseract.image_to_string(image, lang='chi_sim', config=tessdata_dir_config)

Functions

• get_languages Returns all currently supported languages by Tesseract OCR.

• get_tesseract_version Returns the Tesseract version installed in the system.

• image_to_string Returns unmodified output as string from Tesseract OCR processing

• image_to_boxes Returns result containing recognized characters and their box boundaries

• image_to_data Returns result containing box boundaries, confidences, and other information. Requires Tesseract 3.05+. For more information, please check the Tesseract TSV documentation

• image_to_osd Returns result containing information about orientation and script detection.

• image_to_alto_xml Returns result in the form of Tesseract’s ALTO XML format.

• run_and_get_output Returns the raw output from Tesseract OCR. Gives a bit more control over the parameters that are sent to tesseract.

• run_and_get_multiple_output Returns like run_and_get_output but can handle multiple extensions. This function replaces the extension: str kwarg with extension: List[str] kwarg where a list of extensions can be specified and the corresponding data is returned after only one tesseract call. This function reduces the number of calls to tesseract when multiple output formats, like both text and bounding boxes, are needed.

Parameters

image_to_data(image, lang=None, config='', nice=0, output_type=Output.STRING, timeout=0, pandas_config=None)

• image Object or String - either PIL Image, NumPy array or file path of the image to be processed by Tesseract. If you pass object instead of file path, pytesseract will implicitly convert the image to RGB mode.

• lang String - Tesseract language code string. Defaults to eng if not specified! Example for multiple languages: lang='eng+fra'

• config String - Any additional custom configuration flags that are not available via the pytesseract function. For example: config='--psm 6'

• nice Integer - modifies the processor priority for the Tesseract run. Not supported on Windows. Nice adjusts the niceness of unix-like processes.

• output_type Class attribute - specifies the type of the output, defaults to string. For the full list of all supported types, please check the definition of pytesseract.Output class.

• timeout Integer or Float - duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError.

• pandas_config Dict - only for the Output.DATAFRAME type. Dictionary with custom arguments for pandas.read_csv. Allows you to customize the output of image_to_data.

CLI usage:

pytesseract[-llang]image_file

INSTALLATION

Prerequisites:

• Python-tesseract requires Python 3.6+

• You will need the Python Imaging Library (PIL) (or the Pillow fork). Please check the Pillow documentation to know the basic Pillow installation.

• Install Google Tesseract OCR (additional info how to install the engine on Linux, Mac OSX and Windows). You must be able to invoke the tesseract command as tesseract. If this isn’t the case, for example because tesseract isn’t in your PATH, you will have to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd. Under Debian/Ubuntu you can use the package tesseract-ocr. For Mac OS users. please install homebrew package tesseract.

  Note: In some rare cases, you might need to additionally install tessconfigs and configs from tesseract-ocr/tessconfigs if the OS specific package doesn’t include them.

Check the pytesseract package page for more information.

pipinstallpytesseract

pipinstall-Ugit+https://github.com/madmaze/pytesseract.git

gitclonehttps://github.com/madmaze/pytesseract.gitcdpytesseract&&pipinstall-U.

condainstall-cconda-forgepytesseract

TESTING

To run this project’s test suite, install and run tox. Ensure that you have tesseract installed and in your PATH.

pipinstalltoxtox

LICENSE

Check the LICENSE file included in the Python-tesseract repository/distribution. As of Python-tesseract 0.3.1 the license is Apache License Version 2.0

CONTRIBUTORS

• Originally written by Samuel Hoffstaetter

• Full list of contributors