A Python wrapper for Google Tesseract
Latest commit 156cd9b Feb 27, 2018
int3l Adjust the PSM parameter config example
Also include version badges


Python Tesseract

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Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images.

Python-tesseract is a wrapper for Google's Tesseract-OCR Engine. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Python Imaging Library, including jpeg, png, gif, bmp, tiff, and others, whereas tesseract-ocr by default only supports tiff and bmp. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file.



    import Image
except ImportError:
    from PIL import Image
import pytesseract

pytesseract.pytesseract.tesseract_cmd = '<full_path_to_your_tesseract_executable>'
# Include the above line, if you don't have tesseract executable in your PATH
# Example tesseract_cmd: 'C:\\Program Files (x86)\\Tesseract-OCR\\tesseract'

# Simple image to string

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

# Get bounding box estimates

# Get verbose data including boxes, confidences, line and page numbers

Support for OpenCV image/NumPy array objects

import cv2

img = cv2.imread('/**path_to_image**/digits.png')
# OR explicit beforehand converting

Add the following config, if you have tessdata error like: "Error opening data file..."

tessdata_dir_config = '--tessdata-dir "<replace_with_your_tessdata_dir_path>"'
# Example config: '--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)


  • 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_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.



  • Python-tesseract requires python 2.5+ 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.
Installing via pip:

Check the pytesseract package page for more information.

$ (env)> pip install pytesseract
Or if you have git installed:
$ (env)> pip install -U git+https://github.com/madmaze/pytesseract.git
Installing from source:
$> git clone https://github.com/madmaze/pytesseract.git
$ (env)> cd pytesseract && pip install -U .


Python-tesseract is released under the GPL v3.