Metadata-Version: 2.1 Name: pytesseract Version: 0.3.0 Summary: Python-tesseract is a python wrapper for Google's Tesseract-OCR Home-page: https://github.com/madmaze/python-tesseract Author: Samuel Hoffstaetter Author-email: samuel@hoffstaetter.com Maintainer: Matthias Lee Maintainer-email: pytesseract@madmaze.net License: GPLv3 Keywords: python-tesseract OCR Python Platform: UNKNOWN Classifier: Programming Language :: Python Classifier: Programming Language :: Python :: 2 Classifier: Programming Language :: Python :: 2.7 Classifier: Programming Language :: Python :: 3 Classifier: Programming Language :: Python :: 3.5 Classifier: Programming Language :: Python :: 3.6 Classifier: Programming Language :: Python :: 3.7 Requires-Dist: Pillow Python Tesseract ================ .. image:: https://travis-ci.org/madmaze/pytesseract.svg :target: https://travis-ci.org/madmaze/pytesseract :alt: Travis build status .. image:: https://img.shields.io/pypi/pyversions/pytesseract.svg :target: https://pypi.python.org/pypi/pytesseract :alt: Python versions .. image:: https://img.shields.io/pypi/v/pytesseract.svg :target: https://pypi.python.org/pypi/pytesseract :alt: PyPI release .. image:: https://img.shields.io/github/release/madmaze/pytesseract.svg :target: https://github.com/madmaze/pytesseract/releases :alt: Github release .. image:: https://anaconda.org/conda-forge/pytesseract/badges/version.svg :target: https://anaconda.org/conda-forge/pytesseract :alt: Conda release 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 Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file. USAGE ----- **Quickstart** *Note*: Test images are located in the ``tests/data`` folder of the Git repo. .. code-block:: python 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'' # 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')) # 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.image_to_string('test.png')) # Batch processing with a single file containing the list of multiple image file paths print(pytesseract.image_to_string('images.txt')) # 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'))) # 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 .. code-block:: python import cv2 img = cv2.imread(r'//digits.png') print(pytesseract.image_to_string(img)) # OR explicit beforehand converting print(pytesseract.image_to_string(Image.fromarray(img)) If you need custom configuration like `oem`/`psm`, use the **config** keyword. .. code-block:: python # Example of adding any additional options. custom_oem_psm_config = r'--oem 3 --psm 6' pytesseract.image_to_string(image, config=custom_oem_psm_config) Add the following config, if you have tessdata error like: "Error opening data file..." .. code-block:: python # 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 ""' 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. * **run_and_get_output** Returns the raw output from Tesseract OCR. Gives a bit more control over the parameters that are sent to tesseract. **Parameters** ``image_to_data(image, lang=None, config='', nice=0, output_type=Output.STRING, timeout=0)`` * **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. * **timeout** Integer or Float, duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError. INSTALLATION ------------ Prerequisites: - Python-tesseract requires Python 2.7 or Python 3.5+ - 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. .. code-block:: bash $ (env)> pip install pytesseract | Or if you have git installed: .. code-block:: bash $ (env)> pip install -U git+https://github.com/madmaze/pytesseract.git | Installing from source: .. code-block:: bash $> git clone https://github.com/madmaze/pytesseract.git $ (env)> cd pytesseract && pip install -U . | Install with conda (via `conda-forge `_): .. code-block:: bash $> conda install -c conda-forge pytesseract TESTING ------- To run this project's test suite, install and run ``tox``. Ensure that you have ``tesseract`` installed and in your PATH. .. code-block:: bash $ (env)> pip install tox $ (env)> tox 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 `_ - `John Hagen `_ - `Darius Morawiec `_ - `Eddie Bedada `_