pytesseract 0.2.5

USAGE

Quickstart

try:
    from PIL import Image
except ImportError:
    import Image
import 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 string
print(pytesseract.image_to_string(Image.open('test.png')))

# French text image to string
print(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='fra'))

# Get bounding box estimates
print(pytesseract.image_to_boxes(Image.open('test.png')))

# Get verbose data including boxes, confidences, line and page numbers
print(pytesseract.image_to_data(Image.open('test.png')))

# Get information about orientation and script detection
print(pytesseract.image_to_osd(Image.open('test.png')))

# In order to bypass the internal image conversions, just use relative or absolute image path
# NOTE: If you don't use supported images, tesseract will return error
print(pytesseract.image_to_string('test.png'))

# get a searchable PDF
pdf = pytesseract.image_to_pdf_or_hocr('test.png', extension='pdf')

# get HOCR output
hocr = pytesseract.image_to_pdf_or_hocr('test.png', extension='hocr')

Support for OpenCV image/NumPy array objects

import cv2

img = cv2.imread(r'/<path_to_image>/digits.png')
print(pytesseract.image_to_string(img))
# OR explicit beforehand converting
print(pytesseract.image_to_string(Image.fromarray(img))

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

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

pytesseract.image_to_string(image, lang='chi_sim', config=tessdata_dir_config)

Functions

• get_tesseract_version Returns the Tesseract version installed in the system.

• image_to_string Returns the result of a Tesseract OCR run on the image to string

• 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.

Parameters

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

• image Object, PIL Image/NumPy array of the image to be processed by Tesseract

• lang String, Tesseract language code string

• config String, Any additional configurations as a string, ex: 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.

INSTALLATION

Prerequisites:

• Python-tesseract requires python 2.6+ or python 3.x

• You will need the Python Imaging Library (PIL) (or the Pillow fork). Under Debian/Ubuntu, this is the package python-imaging or python3-imaging.

• 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.

Check the pytesseract package page for more information.

$ (env)> pip install pytesseract

$ (env)> pip install -U git+https://github.com/madmaze/pytesseract.git

$> git clone https://github.com/madmaze/pytesseract.git
$ (env)> cd pytesseract && pip install -U .

LICENSE

Python-tesseract is released under the GPL v3.

CONTRIBUTORS

• Originally written by Samuel Hoffstaetter

• Juarez Bochi

• Matthias Lee

• Lars Kistner

• Ryan Mitchell

• Emilio Cecchini