cloudmersive-ocr-api-client

CloudmersiveOcrApiClient - JavaScript client for cloudmersive-ocr-api-client The powerful Optical Character Recognition (OCR) APIs let you convert scanned images of pages into recognized text. Cloudmersive OCR API provides advanced machine learning capabilities for converting scanned documents and photos of documents and receipts to text.

• API version: v1
• Package version: 2.0.1

Installation

For Node.js

npm

To publish the library as a npm, please follow the procedure in "Publishing npm packages".

Then install it via:

npm install cloudmersive-ocr-api-client --save

Local development

To use the library locally without publishing to a remote npm registry, first install the dependencies by changing into the directory containing package.json (and this README). Let's call this JAVASCRIPT_CLIENT_DIR. Then run:

npm install

Next, link it globally in npm with the following, also from JAVASCRIPT_CLIENT_DIR:

npm link

Finally, switch to the directory you want to use your cloudmersive-ocr-api-client from, and run:

npm link /path/to/<JAVASCRIPT_CLIENT_DIR>

You should now be able to require('cloudmersive-ocr-api-client') in javascript files from the directory you ran the last command above from.

git

If the library is hosted at a git repository, e.g. https://github.com/GIT_USER_ID/GIT_REPO_ID then install it via:

    npm install GIT_USER_ID/GIT_REPO_ID --save

For browser

The library also works in the browser environment via npm and browserify. After following the above steps with Node.js and installing browserify with npm install -g browserify, perform the following (assuming main.js is your entry file, that's to say your javascript file where you actually use this library):

browserify main.js > bundle.js

Then include bundle.js in the HTML pages.

Webpack Configuration

Using Webpack you may encounter the following error: "Module not found: Error: Cannot resolve module", most certainly you should disable AMD loader. Add/merge the following section to your webpack config:

module: {
  rules: [
    {
      parser: {
        amd: false
      }
    }
  ]
}

Getting Started

Please follow the installation instruction and execute the following JS code:

var CloudmersiveOcrApiClient = require('cloudmersive-ocr-api-client');

var defaultClient = CloudmersiveOcrApiClient.ApiClient.instance;

// Configure API key authorization: Apikey
var Apikey = defaultClient.authentications['Apikey'];
Apikey.apiKey = "YOUR API KEY"
// Uncomment the following line to set a prefix for the API key, e.g. "Token" (defaults to null)
//Apikey.apiKeyPrefix['Apikey'] = "Token"

var api = new CloudmersiveOcrApiClient.ImageOcrApi()

var imageFile = "/path/to/file.txt"; // {File} Image file to perform OCR on.  Common file formats such as PNG, JPEG are supported.

var opts = { 
  'language': "language_example", // {String} 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)
  'preprocessing': "preprocessing_example" // {String} 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).
};

var callback = function(error, data, response) {
  if (error) {
    console.error(error);
  } else {
    console.log('API called successfully. Returned data: ' + data);
  }
};
api.imageOcrImageLinesWithLocation(imageFile, opts, callback);

Documentation for API Endpoints

All URIs are relative to https://api.cloudmersive.com

Class | Method | HTTP request | Description ------------ | ------------- | ------------- | ------------- CloudmersiveOcrApiClient.ImageOcrApi | imageOcrImageLinesWithLocation | POST /ocr/image/to/lines-with-location | Convert a scanned image into words with location CloudmersiveOcrApiClient.ImageOcrApi | imageOcrImageWordsWithLocation | POST /ocr/image/to/words-with-location | Convert a scanned image into words with location CloudmersiveOcrApiClient.ImageOcrApi | imageOcrPhotoRecognizeBusinessCard | POST /ocr/photo/recognize/business-card | Recognize a photo of a business card, extract key business information CloudmersiveOcrApiClient.ImageOcrApi | imageOcrPhotoRecognizeForm | POST /ocr/photo/recognize/form | Recognize a photo of a form, extract key fields and business information CloudmersiveOcrApiClient.ImageOcrApi | imageOcrPhotoRecognizeFormAdvanced | POST /ocr/photo/recognize/form/advanced | Recognize a photo of a form, extract key fields using stored templates CloudmersiveOcrApiClient.ImageOcrApi | imageOcrPhotoRecognizeReceipt | POST /ocr/photo/recognize/receipt | Recognize a photo of a receipt, extract key business information CloudmersiveOcrApiClient.ImageOcrApi | imageOcrPhotoToText | POST /ocr/photo/toText | Convert a photo of a document into text CloudmersiveOcrApiClient.ImageOcrApi | imageOcrPhotoWordsWithLocation | POST /ocr/photo/to/words-with-location | Convert a photo of a document or receipt into words with location CloudmersiveOcrApiClient.ImageOcrApi | imageOcrPost | POST /ocr/image/toText | Convert a scanned image into text CloudmersiveOcrApiClient.PdfOcrApi | pdfOcrGetAsyncJobStatus | GET /ocr/pdf/get-job-status | Returns the result of the Async Job - possible states can be STARTED or COMPLETED CloudmersiveOcrApiClient.PdfOcrApi | pdfOcrPdfToLinesWithLocation | POST /ocr/pdf/to/lines-with-location | Convert a PDF into text lines with location CloudmersiveOcrApiClient.PdfOcrApi | pdfOcrPdfToWordsWithLocation | POST /ocr/pdf/to/words-with-location | Convert a PDF into words with location CloudmersiveOcrApiClient.PdfOcrApi | pdfOcrPost | POST /ocr/pdf/toText | Converts an uploaded PDF file into text via Optical Character Recognition. CloudmersiveOcrApiClient.PreprocessingApi | preprocessingBinarize | POST /ocr/preprocessing/image/binarize | Convert an image of text into a binarized (light and dark) view CloudmersiveOcrApiClient.PreprocessingApi | preprocessingBinarizeAdvanced | POST /ocr/preprocessing/image/binarize/advanced | Convert an image of text into a binary (light and dark) view with ML CloudmersiveOcrApiClient.PreprocessingApi | preprocessingGetPageAngle | POST /ocr/preprocessing/image/get-page-angle | Get the angle of the page / document / receipt CloudmersiveOcrApiClient.PreprocessingApi | preprocessingUnrotate | POST /ocr/preprocessing/image/unrotate | Detect and unrotate a document image CloudmersiveOcrApiClient.PreprocessingApi | preprocessingUnrotateAdvanced | POST /ocr/preprocessing/image/unrotate/advanced | Detect and unrotate a document image (advanced) CloudmersiveOcrApiClient.PreprocessingApi | preprocessingUnskew | POST /ocr/preprocessing/image/unskew | Detect and unskew a photo of a document CloudmersiveOcrApiClient.ReceiptsApi | receiptsPhotoToCSV | POST /ocr/receipts/photo/to/csv | Convert a photo of a receipt into a CSV file containing structured information from the receipt

Documentation for Models

• CloudmersiveOcrApiClient.BusinessCardRecognitionResult
• CloudmersiveOcrApiClient.FieldResult
• CloudmersiveOcrApiClient.FormDefinitionTemplate
• CloudmersiveOcrApiClient.FormFieldDefinition
• CloudmersiveOcrApiClient.FormRecognitionResult
• CloudmersiveOcrApiClient.FormTableColumnDefinition
• CloudmersiveOcrApiClient.FormTableDefinition
• CloudmersiveOcrApiClient.GetPageAngleResult
• CloudmersiveOcrApiClient.ImageToLinesWithLocationResult
• CloudmersiveOcrApiClient.ImageToTextResponse
• CloudmersiveOcrApiClient.ImageToWordsWithLocationResult
• CloudmersiveOcrApiClient.OcrLineElement
• CloudmersiveOcrApiClient.OcrPageResult
• CloudmersiveOcrApiClient.OcrPageResultWithLinesWithLocation
• CloudmersiveOcrApiClient.OcrPageResultWithWordsWithLocation
• CloudmersiveOcrApiClient.OcrPhotoTextElement
• CloudmersiveOcrApiClient.OcrWordElement
• CloudmersiveOcrApiClient.PdfToLinesWithLocationResult
• CloudmersiveOcrApiClient.PdfToTextResponse
• CloudmersiveOcrApiClient.PdfToWordsWithLocationResult
• CloudmersiveOcrApiClient.PhotoToWordsWithLocationResult
• CloudmersiveOcrApiClient.Point
• CloudmersiveOcrApiClient.ReceiptLineItem
• CloudmersiveOcrApiClient.ReceiptRecognitionResult
• CloudmersiveOcrApiClient.TableCellResult
• CloudmersiveOcrApiClient.TableResult
• CloudmersiveOcrApiClient.TableRowResult

Documentation for Authorization

Apikey

• Type: API key
• API key parameter name: Apikey
• Location: HTTP header