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        "author": "Pankaj Rawat",
        "author_email": "pankajr141@gmail.com",
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            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# pdfutil [Under Development]\nLibrary provides a lot of operations over PDF/Image.\n\n## Input and Output \nThe Libarary expose each function with a standard set of argument which are fixed for eevry function\n```\nimport pdfutil\ncoordinates = pdfutil.detect_*(pdf_location, [save_result=False], [show_result=False], [result_location='.'], [args={}])\n```\n\n| Name | Description |\n| --- | --- |\n|**pdf_location** | input location of PDF, image can also be passed libaray will autodetect the image|\n|**save_result**| Default False, If True will save the result pdf/img in location specified by result_location|\n|**show_result**| Default False, This is used for debugging only when True will popup a matplotlib plot highlighting the regions which are detected with corresponding labels|\n|**result_location**| Default current directory, location where ouptut needs to be saved, ignored if save_result is set as False|\n|**args**| custom set of args in form of dictionaty specific to each function|\n|**coordinates**| Output returned by the function call, this will contain json output in following format|\n```\n[\n  {\n    \"type\": \"text\",\n    \"output\": {\n      \"coord\": [\n        [\"pageno_1\", \"startx_1\", \"starty_1\", \"width_1\", \"height_1\"],\n        [\"pageno_2\", \"startx_2\", \"starty_2\", \"width_2\", \"height_2\"]\n      ]\n    }\n  },\n  {\n    \"type\": \"table\",\n    \"output\": {\n      \"coord\": [\n        [\"pageno_1\", \"startx_1\", \"starty_1\", \"width_1\", \"height_1\"],\n      ]\n    }\n  }\n]\n```\n\n## operations\n\n### Detecting Tables\n```\nimport pdfutil\ncoordinates = pdfutil.detect_tables(pdf_location)\n```\n\n### Detecting Text Regions [Paragrahs / Unstructured Content]\n```\nimport pdfutil\ncoordinates = pdfutil.detect_text(pdf_location)\n```\n\n### Detecting Non-Text Regions [Images / Logos]\n```\nimport pdfutil\ncoordinates = pdfutil.detect_non_text(pdf_location)\n```\n\n### Detecting Language\n```\nimport pdfutil\ncoordinates = pdfutil.detect_non_language(pdf_location)\n```\n\n### Detecting Key Value Pairs\n```\nimport pdfutil\ncoordinates = pdfutil.detect_key_value_pairs(pdf_location)\n```\n\n\n\n",
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