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        "author": "Matthias Lee",
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            "Programming Language :: Python",
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        "description": "Python Tesseract\n================\n\n.. image:: https://travis-ci.org/madmaze/pytesseract.svg\n    :target: https://travis-ci.org/madmaze/pytesseract\n    :alt: Travis build status\n\n.. image:: https://img.shields.io/pypi/pyversions/pytesseract.svg\n   :target: https://pypi.python.org/pypi/pytesseract\n   :alt: Python versions\n\n.. image:: https://img.shields.io/pypi/v/pytesseract.svg\n   :target: https://pypi.python.org/pypi/pytesseract\n   :alt: PyPI release\n\n.. image:: \thttps://img.shields.io/github/release/madmaze/pytesseract.svg\n   :target: https://github.com/madmaze/pytesseract/releases\n   :alt: Github release\n\n.. image:: https://anaconda.org/conda-forge/pytesseract/badges/version.svg\n   :target: https://anaconda.org/conda-forge/pytesseract\n   :alt: Conda release\n\nPython-tesseract is an optical character recognition (OCR) tool for python.\nThat is, it will recognize and \"read\" the text embedded in images.\n\nPython-tesseract is a wrapper for `Google's Tesseract-OCR Engine <https://github.com/tesseract-ocr/tesseract>`_.\nIt is also useful as a stand-alone invocation script to tesseract, as it can read all image types\nsupported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff,\nand others. Additionally, if used as a script, Python-tesseract will print the recognized\ntext instead of writing it to a file.\n\nUSAGE\n-----\n\n**Quickstart**\n\n*Note*: Test images are located in the ``tests/data`` folder of the Git repo.\n\n.. code-block:: python\n\n    try:\n        from PIL import Image\n    except ImportError:\n        import Image\n    import pytesseract\n\n    # If you don't have tesseract executable in your PATH, include the following:\n    pytesseract.pytesseract.tesseract_cmd = r'<full_path_to_your_tesseract_executable>'\n    # Example tesseract_cmd = r'C:\\Program Files (x86)\\Tesseract-OCR\\tesseract'\n\n    # Simple image to string\n    print(pytesseract.image_to_string(Image.open('test.png')))\n\n    # French text image to string\n    print(pytesseract.image_to_string(Image.open('test-european.jpg'), lang='fra'))\n\n    # In order to bypass the image conversions of pytesseract, just use relative or absolute image path\n    # NOTE: In this case you should provide tesseract supported images or tesseract will return error\n    print(pytesseract.image_to_string('test.png'))\n\n    # Batch processing with a single file containing the list of multiple image file paths \n    print(pytesseract.image_to_string('images.txt'))\n\n    # Get bounding box estimates\n    print(pytesseract.image_to_boxes(Image.open('test.png')))\n\n    # Get verbose data including boxes, confidences, line and page numbers\n    print(pytesseract.image_to_data(Image.open('test.png')))\n\n    # Get information about orientation and script detection\n    print(pytesseract.image_to_osd(Image.open('test.png')))\n\n    # Get a searchable PDF\n    pdf = pytesseract.image_to_pdf_or_hocr('test.png', extension='pdf')\n\n    # Get HOCR output\n    hocr = pytesseract.image_to_pdf_or_hocr('test.png', extension='hocr')\n\nSupport for OpenCV image/NumPy array objects\n\n.. code-block:: python\n\n    import cv2\n\n    img = cv2.imread(r'/<path_to_image>/digits.png')\n    print(pytesseract.image_to_string(img))\n    # OR explicit beforehand converting\n    print(pytesseract.image_to_string(Image.fromarray(img))\n\nIf you need custom configuration like `oem`/`psm`, use the **config** keyword. \n\n.. code-block:: python\n\n    # Example of adding any additional options.\n    custom_oem_psm_config = r'--oem 3 --psm 6'\n    pytesseract.image_to_string(image, config=custom_oem_psm_config)\n\nAdd the following config, if you have tessdata error like: \"Error opening data file...\"\n\n.. code-block:: python\n\n    # Example config: r'--tessdata-dir \"C:\\Program Files (x86)\\Tesseract-OCR\\tessdata\"'\n    # It's important to add double quotes around the dir path.\n    tessdata_dir_config = r'--tessdata-dir \"<replace_with_your_tessdata_dir_path>\"'\n    pytesseract.image_to_string(image, lang='chi_sim', config=tessdata_dir_config)\n\n**Functions**\n\n* **get_tesseract_version** Returns the Tesseract version installed in the system.\n\n* **image_to_string** Returns the result of a Tesseract OCR run on the image to string\n\n* **image_to_boxes** Returns result containing recognized characters and their box boundaries\n\n* **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 <https://github.com/tesseract-ocr/tesseract/wiki/Command-Line-Usage#tsv-output-currently-available-in-305-dev-in-master-branch-on-github>`_\n\n* **image_to_osd** Returns result containing information about orientation and script detection.\n\n* **run_and_get_output** Returns the raw output from Tesseract OCR. Gives a bit more control over the parameters that are sent to tesseract.\n\n**Parameters**\n\n``image_to_data(image, lang=None, config='', nice=0, output_type=Output.STRING, timeout=0)``\n\n* **image** Object, PIL Image/NumPy array of the image to be processed by Tesseract\n\n* **lang** String, Tesseract language code string\n\n* **config** String, Any additional configurations as a string, ex: ``config='--psm 6'``\n\n* **nice** Integer, modifies the processor priority for the Tesseract run. Not supported on Windows. Nice adjusts the niceness of unix-like processes.\n\n* **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 <https://github.com/madmaze/pytesseract/blob/master/src/pytesseract.py>`_ class.\n\n* **timeout** Integer or Float, duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError.\n\n\nINSTALLATION\n------------\n\nPrerequisites:\n\n- Python-tesseract requires Python 2.7 or Python 3.5+\n- You will need the Python Imaging Library (PIL) (or the `Pillow <https://pypi.org/project/Pillow/>`_ fork).\n  Under Debian/Ubuntu, this is the package **python-imaging** or **python3-imaging**.\n- Install `Google Tesseract OCR <https://github.com/tesseract-ocr/tesseract>`_\n  (additional info how to install the engine on Linux, Mac OSX and Windows).\n  You must be able to invoke the tesseract command as *tesseract*. If this\n  isn't the case, for example because tesseract isn't in your PATH, you will\n  have to change the \"tesseract_cmd\" variable ``pytesseract.pytesseract.tesseract_cmd``.\n  Under Debian/Ubuntu you can use the package **tesseract-ocr**.\n  For Mac OS users. please install homebrew package **tesseract**.\n\n| Installing via pip:\n\nCheck the `pytesseract package page <https://pypi.python.org/pypi/pytesseract>`_ for more information.\n\n.. code-block:: bash\n\n    $ (env)> pip install pytesseract\n\n| Or if you have git installed:\n\n.. code-block:: bash\n\n    $ (env)> pip install -U git+https://github.com/madmaze/pytesseract.git\n\n| Installing from source:\n\n.. code-block:: bash\n\n    $> git clone https://github.com/madmaze/pytesseract.git\n    $ (env)> cd pytesseract && pip install -U .\n\n| Install with conda (via `conda-forge <https://anaconda.org/conda-forge/pytesseract>`_):\n\n.. code-block:: bash\n\n    $> conda install -c conda-forge pytesseract\n\nTESTING\n-------\n\nTo run this project's test suite, install and run ``tox``. Ensure that you have ``tesseract``\ninstalled and in your PATH.\n\n.. code-block:: bash\n\n    $ (env)> pip install tox\n    $ (env)> tox\n\nLICENSE\n-------\nPython-tesseract is released under the GPL v3.\n\nCONTRIBUTORS\n------------\n- Originally written by `Samuel Hoffstaetter <https://github.com/h>`_\n- `Juarez Bochi <https://github.com/jbochi>`_\n- `Matthias Lee <https://github.com/madmaze>`_\n- `Lars Kistner <https://github.com/Sr4l>`_\n- `Ryan Mitchell <https://github.com/REMitchell>`_\n- `Emilio Cecchini <https://github.com/ceccoemi>`_\n- `John Hagen <https://github.com/johnthagen>`_\n- `Darius Morawiec <https://github.com/nok>`_\n- `Eddie Bedada <https://github.com/adbeda>`_\n",
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