{ "info": { "author": "", "author_email": "", "bugtrack_url": null, "classifiers": [], "description": "# cloudmersive_ocr_api_client\nThe powerful Optical Character Recognition (OCR) APIs let you convert scanned images of pages into recognized text.\n\nThis Python package provides a native API client for [Cloudmersive OCR](https://www.cloudmersive.com/ocr-api)\n\n- API version: v1\n- Package version: 3.0.1\n- Build package: io.swagger.codegen.languages.PythonClientCodegen\n\n## Requirements.\n\nPython 2.7 and 3.4+\n\n## Installation & Usage\n### pip install\n\nIf the python package is hosted on Github, you can install directly from Github\n\n```sh\npip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git\n```\n(you may need to run `pip` with root permission: `sudo pip install git+https://github.com/GIT_USER_ID/GIT_REPO_ID.git`)\n\nThen import the package:\n```python\nimport cloudmersive_ocr_api_client \n```\n\n### Setuptools\n\nInstall via [Setuptools](http://pypi.python.org/pypi/setuptools).\n\n```sh\npython setup.py install --user\n```\n(or `sudo python setup.py install` to install the package for all users)\n\nThen import the package:\n```python\nimport cloudmersive_ocr_api_client\n```\n\n## Getting Started\n\nPlease follow the [installation procedure](#installation--usage) and then run the following:\n\n```python\nfrom __future__ import print_function\nimport time\nimport cloudmersive_ocr_api_client\nfrom cloudmersive_ocr_api_client.rest import ApiException\nfrom pprint import pprint\n\n# Configure API key authorization: Apikey\nconfiguration = cloudmersive_ocr_api_client.Configuration()\nconfiguration.api_key['Apikey'] = 'YOUR_API_KEY'\n# Uncomment below to setup prefix (e.g. Bearer) for API key, if needed\n# configuration.api_key_prefix['Apikey'] = 'Bearer'\n\n# create an instance of the API class\napi_instance = cloudmersive_ocr_api_client.ImageOcrApi(cloudmersive_ocr_api_client.ApiClient(configuration))\nimage_file = '/path/to/file.txt' # file | Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.\nlanguage = 'language_example' # str | Optional, language of the input document, default is English (ENG). Possible values are ENG (English), ARA (Arabic), ZHO (Chinese - Simplified), ZHO-HANT (Chinese - Traditional), ASM (Assamese), AFR (Afrikaans), AMH (Amharic), AZE (Azerbaijani), AZE-CYRL (Azerbaijani - Cyrillic), BEL (Belarusian), BEN (Bengali), BOD (Tibetan), BOS (Bosnian), BUL (Bulgarian), CAT (Catalan; Valencian), CEB (Cebuano), CES (Czech), CHR (Cherokee), CYM (Welsh), DAN (Danish), DEU (German), DZO (Dzongkha), ELL (Greek), ENM (Archaic/Middle English), EPO (Esperanto), EST (Estonian), EUS (Basque), FAS (Persian), FIN (Finnish), FRA (French), FRK (Frankish), FRM (Middle-French), GLE (Irish), GLG (Galician), GRC (Ancient Greek), HAT (Hatian), HEB (Hebrew), HIN (Hindi), HRV (Croatian), HUN (Hungarian), IKU (Inuktitut), IND (Indonesian), ISL (Icelandic), ITA (Italian), ITA-OLD (Old - Italian), JAV (Javanese), JPN (Japanese), KAN (Kannada), KAT (Georgian), KAT-OLD (Old-Georgian), KAZ (Kazakh), KHM (Central Khmer), KIR (Kirghiz), KOR (Korean), KUR (Kurdish), LAO (Lao), LAT (Latin), LAV (Latvian), LIT (Lithuanian), MAL (Malayalam), MAR (Marathi), MKD (Macedonian), MLT (Maltese), MSA (Malay), MYA (Burmese), NEP (Nepali), NLD (Dutch), NOR (Norwegian), ORI (Oriya), PAN (Panjabi), POL (Polish), POR (Portuguese), PUS (Pushto), RON (Romanian), RUS (Russian), SAN (Sanskrit), SIN (Sinhala), SLK (Slovak), SLV (Slovenian), SPA (Spanish), SPA-OLD (Old Spanish), SQI (Albanian), SRP (Serbian), SRP-LAT (Latin Serbian), SWA (Swahili), SWE (Swedish), SYR (Syriac), TAM (Tamil), TEL (Telugu), TGK (Tajik), TGL (Tagalog), THA (Thai), TIR (Tigrinya), TUR (Turkish), UIG (Uighur), UKR (Ukrainian), URD (Urdu), UZB (Uzbek), UZB-CYR (Cyrillic Uzbek), VIE (Vietnamese), YID (Yiddish) (optional)\npreprocessing = 'preprocessing_example' # str | Optional, preprocessing mode, default is 'Auto'. Possible values are None (no preprocessing of the image), and Auto (automatic image enhancement of the image before OCR is applied; this is recommended). (optional)\n\ntry:\n # Convert a scanned image into words with location\n api_response = api_instance.image_ocr_image_lines_with_location(image_file, language=language, preprocessing=preprocessing)\n pprint(api_response)\nexcept ApiException as e:\n print(\"Exception when calling ImageOcrApi->image_ocr_image_lines_with_location: %s\\n\" % e)\n\n```\n\n## Documentation for API Endpoints\n\nAll URIs are relative to *https://api.cloudmersive.com*\n\nClass | Method | HTTP request | Description\n------------ | ------------- | ------------- | -------------\n*ImageOcrApi* | [**image_ocr_image_lines_with_location**](docs/ImageOcrApi.md#image_ocr_image_lines_with_location) | **POST** /ocr/image/to/lines-with-location | Convert a scanned image into words with location\n*ImageOcrApi* | [**image_ocr_image_words_with_location**](docs/ImageOcrApi.md#image_ocr_image_words_with_location) | **POST** /ocr/image/to/words-with-location | Convert a scanned image into words with location\n*ImageOcrApi* | [**image_ocr_photo_recognize_business_card**](docs/ImageOcrApi.md#image_ocr_photo_recognize_business_card) | **POST** /ocr/photo/recognize/business-card | Recognize a photo of a business card, extract key business information\n*ImageOcrApi* | [**image_ocr_photo_recognize_form**](docs/ImageOcrApi.md#image_ocr_photo_recognize_form) | **POST** /ocr/photo/recognize/form | Recognize a photo of a form, extract key fields and business information\n*ImageOcrApi* | [**image_ocr_photo_recognize_form_advanced**](docs/ImageOcrApi.md#image_ocr_photo_recognize_form_advanced) | **POST** /ocr/photo/recognize/form/advanced | Recognize a photo of a form, extract key fields using stored templates\n*ImageOcrApi* | [**image_ocr_photo_recognize_receipt**](docs/ImageOcrApi.md#image_ocr_photo_recognize_receipt) | **POST** /ocr/photo/recognize/receipt | Recognize a photo of a receipt, extract key business information\n*ImageOcrApi* | [**image_ocr_photo_to_text**](docs/ImageOcrApi.md#image_ocr_photo_to_text) | **POST** /ocr/photo/toText | Convert a photo of a document into text\n*ImageOcrApi* | [**image_ocr_photo_words_with_location**](docs/ImageOcrApi.md#image_ocr_photo_words_with_location) | **POST** /ocr/photo/to/words-with-location | Convert a photo of a document or receipt into words with location\n*ImageOcrApi* | [**image_ocr_post**](docs/ImageOcrApi.md#image_ocr_post) | **POST** /ocr/image/toText | Convert a scanned image into text\n*PdfOcrApi* | [**pdf_ocr_pdf_to_lines_with_location**](docs/PdfOcrApi.md#pdf_ocr_pdf_to_lines_with_location) | **POST** /ocr/pdf/to/lines-with-location | Convert a PDF into text lines with location\n*PdfOcrApi* | [**pdf_ocr_pdf_to_words_with_location**](docs/PdfOcrApi.md#pdf_ocr_pdf_to_words_with_location) | **POST** /ocr/pdf/to/words-with-location | Convert a PDF into words with location\n*PdfOcrApi* | [**pdf_ocr_post**](docs/PdfOcrApi.md#pdf_ocr_post) | **POST** /ocr/pdf/toText | Converts an uploaded PDF file into text via Optical Character Recognition.\n*PreprocessingApi* | [**preprocessing_binarize**](docs/PreprocessingApi.md#preprocessing_binarize) | **POST** /ocr/preprocessing/image/binarize | Convert an image of text into a binarized (light and dark) view\n*PreprocessingApi* | [**preprocessing_binarize_advanced**](docs/PreprocessingApi.md#preprocessing_binarize_advanced) | **POST** /ocr/preprocessing/image/binarize/advanced | Convert an image of text into a binary (light and dark) view with ML\n*PreprocessingApi* | [**preprocessing_get_page_angle**](docs/PreprocessingApi.md#preprocessing_get_page_angle) | **POST** /ocr/preprocessing/image/get-page-angle | Get the angle of the page / document / receipt\n*PreprocessingApi* | [**preprocessing_unrotate**](docs/PreprocessingApi.md#preprocessing_unrotate) | **POST** /ocr/preprocessing/image/unrotate | Detect and unrotate a document image\n*PreprocessingApi* | [**preprocessing_unrotate_advanced**](docs/PreprocessingApi.md#preprocessing_unrotate_advanced) | **POST** /ocr/preprocessing/image/unrotate/advanced | Detect and unrotate a document image (advanced)\n*PreprocessingApi* | [**preprocessing_unskew**](docs/PreprocessingApi.md#preprocessing_unskew) | **POST** /ocr/preprocessing/image/unskew | Detect and unskew a photo of a document\n*ReceiptsApi* | [**receipts_photo_to_csv**](docs/ReceiptsApi.md#receipts_photo_to_csv) | **POST** /ocr/receipts/photo/to/csv | Convert a photo of a receipt into a CSV file containing structured information from the receipt\n\n\n## Documentation For Models\n\n - [BusinessCardRecognitionResult](docs/BusinessCardRecognitionResult.md)\n - [FieldResult](docs/FieldResult.md)\n - [FormDefinitionTemplate](docs/FormDefinitionTemplate.md)\n - [FormFieldDefinition](docs/FormFieldDefinition.md)\n - [FormRecognitionResult](docs/FormRecognitionResult.md)\n - [FormTableColumnDefinition](docs/FormTableColumnDefinition.md)\n - [FormTableDefinition](docs/FormTableDefinition.md)\n - [GetPageAngleResult](docs/GetPageAngleResult.md)\n - [ImageToLinesWithLocationResult](docs/ImageToLinesWithLocationResult.md)\n - [ImageToTextResponse](docs/ImageToTextResponse.md)\n - [ImageToWordsWithLocationResult](docs/ImageToWordsWithLocationResult.md)\n - [OcrLineElement](docs/OcrLineElement.md)\n - [OcrPageResult](docs/OcrPageResult.md)\n - [OcrPageResultWithLinesWithLocation](docs/OcrPageResultWithLinesWithLocation.md)\n - [OcrPageResultWithWordsWithLocation](docs/OcrPageResultWithWordsWithLocation.md)\n - [OcrPhotoTextElement](docs/OcrPhotoTextElement.md)\n - [OcrWordElement](docs/OcrWordElement.md)\n - [PdfToLinesWithLocationResult](docs/PdfToLinesWithLocationResult.md)\n - [PdfToTextResponse](docs/PdfToTextResponse.md)\n - [PdfToWordsWithLocationResult](docs/PdfToWordsWithLocationResult.md)\n - [PhotoToWordsWithLocationResult](docs/PhotoToWordsWithLocationResult.md)\n - [Point](docs/Point.md)\n - [ReceiptLineItem](docs/ReceiptLineItem.md)\n - [ReceiptRecognitionResult](docs/ReceiptRecognitionResult.md)\n - 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