Class: CloudmersiveOcrApiClient::PreprocessingApi

Inherits:
Object
  • Object
show all
Defined in:
lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(api_client = ApiClient.default) ⇒ PreprocessingApi

Returns a new instance of PreprocessingApi.



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 19

def initialize(api_client = ApiClient.default)
  @api_client = api_client
end

Instance Attribute Details

#api_clientObject

Returns the value of attribute api_client.



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 17

def api_client
  @api_client
end

Instance Method Details

#preprocessing_binarize(image_file, opts = {}) ⇒ String

Convert an image of text into a binarized (light and dark) view Perform an adaptive binarization algorithm on the input image to prepare it for further OCR operations.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (String)


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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 27

def preprocessing_binarize(image_file, opts = {})
  data, _status_code, _headers = preprocessing_binarize_with_http_info(image_file, opts)
  data
end

#preprocessing_binarize_advanced(image_file, opts = {}) ⇒ String

Convert an image of text into a binary (light and dark) view with ML Perform an advanced adaptive, Deep Learning-based binarization algorithm on the input image to prepare it for further OCR operations. Provides enhanced accuracy than adaptive binarization. Image will be upsampled to 300 DPI if it has a DPI below 300.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (String)


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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 82

def preprocessing_binarize_advanced(image_file, opts = {})
  data, _status_code, _headers = preprocessing_binarize_advanced_with_http_info(image_file, opts)
  data
end

#preprocessing_binarize_advanced_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>

Convert an image of text into a binary (light and dark) view with ML Perform an advanced adaptive, Deep Learning-based binarization algorithm on the input image to prepare it for further OCR operations. Provides enhanced accuracy than adaptive binarization. Image will be upsampled to 300 DPI if it has a DPI below 300.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (Array<(String, Fixnum, Hash)>)

    String data, response status code and response headers



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 92

def preprocessing_binarize_advanced_with_http_info(image_file, opts = {})
  if @api_client.config.debugging
    @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_binarize_advanced ...'
  end
  # verify the required parameter 'image_file' is set
  if @api_client.config.client_side_validation && image_file.nil?
    fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_binarize_advanced"
  end
  # resource path
  local_var_path = '/ocr/preprocessing/image/binarize/advanced'

  # query parameters
  query_params = {}

  # header parameters
  header_params = {}
  # HTTP header 'Accept' (if needed)
  header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml'])
  # HTTP header 'Content-Type'
  header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data'])

  # form parameters
  form_params = {}
  form_params['imageFile'] = image_file

  # http body (model)
  post_body = nil
  auth_names = ['Apikey']
  data, status_code, headers = @api_client.call_api(:POST, local_var_path,
    :header_params => header_params,
    :query_params => query_params,
    :form_params => form_params,
    :body => post_body,
    :auth_names => auth_names,
    :return_type => 'String')
  if @api_client.config.debugging
    @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_binarize_advanced\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}"
  end
  return data, status_code, headers
end

#preprocessing_binarize_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>

Convert an image of text into a binarized (light and dark) view Perform an adaptive binarization algorithm on the input image to prepare it for further OCR operations.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (Array<(String, Fixnum, Hash)>)

    String data, response status code and response headers



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 37

def preprocessing_binarize_with_http_info(image_file, opts = {})
  if @api_client.config.debugging
    @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_binarize ...'
  end
  # verify the required parameter 'image_file' is set
  if @api_client.config.client_side_validation && image_file.nil?
    fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_binarize"
  end
  # resource path
  local_var_path = '/ocr/preprocessing/image/binarize'

  # query parameters
  query_params = {}

  # header parameters
  header_params = {}
  # HTTP header 'Accept' (if needed)
  header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml'])
  # HTTP header 'Content-Type'
  header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data'])

  # form parameters
  form_params = {}
  form_params['imageFile'] = image_file

  # http body (model)
  post_body = nil
  auth_names = ['Apikey']
  data, status_code, headers = @api_client.call_api(:POST, local_var_path,
    :header_params => header_params,
    :query_params => query_params,
    :form_params => form_params,
    :body => post_body,
    :auth_names => auth_names,
    :return_type => 'String')
  if @api_client.config.debugging
    @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_binarize\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}"
  end
  return data, status_code, headers
end

#preprocessing_get_page_angle(image_file, opts = {}) ⇒ GetPageAngleResult

Get the angle of the page / document / receipt Analyzes a photo or image of a document and identifies the rotation angle of the page.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 137

def preprocessing_get_page_angle(image_file, opts = {})
  data, _status_code, _headers = preprocessing_get_page_angle_with_http_info(image_file, opts)
  data
end

#preprocessing_get_page_angle_with_http_info(image_file, opts = {}) ⇒ Array<(GetPageAngleResult, Fixnum, Hash)>

Get the angle of the page / document / receipt Analyzes a photo or image of a document and identifies the rotation angle of the page.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (Array<(GetPageAngleResult, Fixnum, Hash)>)

    GetPageAngleResult data, response status code and response headers



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 147

def preprocessing_get_page_angle_with_http_info(image_file, opts = {})
  if @api_client.config.debugging
    @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_get_page_angle ...'
  end
  # verify the required parameter 'image_file' is set
  if @api_client.config.client_side_validation && image_file.nil?
    fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_get_page_angle"
  end
  # resource path
  local_var_path = '/ocr/preprocessing/image/get-page-angle'

  # query parameters
  query_params = {}

  # header parameters
  header_params = {}
  # HTTP header 'Accept' (if needed)
  header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml'])
  # HTTP header 'Content-Type'
  header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data'])

  # form parameters
  form_params = {}
  form_params['imageFile'] = image_file

  # http body (model)
  post_body = nil
  auth_names = ['Apikey']
  data, status_code, headers = @api_client.call_api(:POST, local_var_path,
    :header_params => header_params,
    :query_params => query_params,
    :form_params => form_params,
    :body => post_body,
    :auth_names => auth_names,
    :return_type => 'GetPageAngleResult')
  if @api_client.config.debugging
    @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_get_page_angle\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}"
  end
  return data, status_code, headers
end

#preprocessing_unrotate(image_file, opts = {}) ⇒ String

Detect and unrotate a document image Detect and unrotate an image of a document (e.g. that was scanned at an angle). Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (String)


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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 192

def preprocessing_unrotate(image_file, opts = {})
  data, _status_code, _headers = preprocessing_unrotate_with_http_info(image_file, opts)
  data
end

#preprocessing_unrotate_advanced(image_file, opts = {}) ⇒ String

Detect and unrotate a document image (advanced) Detect and unrotate an image of a document (e.g. that was scanned at an angle) using deep learning. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (String)


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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 247

def preprocessing_unrotate_advanced(image_file, opts = {})
  data, _status_code, _headers = preprocessing_unrotate_advanced_with_http_info(image_file, opts)
  data
end

#preprocessing_unrotate_advanced_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>

Detect and unrotate a document image (advanced) Detect and unrotate an image of a document (e.g. that was scanned at an angle) using deep learning. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (Array<(String, Fixnum, Hash)>)

    String data, response status code and response headers



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 257

def preprocessing_unrotate_advanced_with_http_info(image_file, opts = {})
  if @api_client.config.debugging
    @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_unrotate_advanced ...'
  end
  # verify the required parameter 'image_file' is set
  if @api_client.config.client_side_validation && image_file.nil?
    fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_unrotate_advanced"
  end
  # resource path
  local_var_path = '/ocr/preprocessing/image/unrotate/advanced'

  # query parameters
  query_params = {}

  # header parameters
  header_params = {}
  # HTTP header 'Accept' (if needed)
  header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml'])
  # HTTP header 'Content-Type'
  header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data'])

  # form parameters
  form_params = {}
  form_params['imageFile'] = image_file

  # http body (model)
  post_body = nil
  auth_names = ['Apikey']
  data, status_code, headers = @api_client.call_api(:POST, local_var_path,
    :header_params => header_params,
    :query_params => query_params,
    :form_params => form_params,
    :body => post_body,
    :auth_names => auth_names,
    :return_type => 'String')
  if @api_client.config.debugging
    @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_unrotate_advanced\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}"
  end
  return data, status_code, headers
end

#preprocessing_unrotate_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>

Detect and unrotate a document image Detect and unrotate an image of a document (e.g. that was scanned at an angle). Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (Array<(String, Fixnum, Hash)>)

    String data, response status code and response headers



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 202

def preprocessing_unrotate_with_http_info(image_file, opts = {})
  if @api_client.config.debugging
    @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_unrotate ...'
  end
  # verify the required parameter 'image_file' is set
  if @api_client.config.client_side_validation && image_file.nil?
    fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_unrotate"
  end
  # resource path
  local_var_path = '/ocr/preprocessing/image/unrotate'

  # query parameters
  query_params = {}

  # header parameters
  header_params = {}
  # HTTP header 'Accept' (if needed)
  header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml'])
  # HTTP header 'Content-Type'
  header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data'])

  # form parameters
  form_params = {}
  form_params['imageFile'] = image_file

  # http body (model)
  post_body = nil
  auth_names = ['Apikey']
  data, status_code, headers = @api_client.call_api(:POST, local_var_path,
    :header_params => header_params,
    :query_params => query_params,
    :form_params => form_params,
    :body => post_body,
    :auth_names => auth_names,
    :return_type => 'String')
  if @api_client.config.debugging
    @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_unrotate\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}"
  end
  return data, status_code, headers
end

#preprocessing_unskew(image_file, opts = {}) ⇒ String

Detect and unskew a photo of a document Detect and unskew a photo of a document (e.g. taken on a cell phone) into a perfectly square image. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (String)


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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 302

def preprocessing_unskew(image_file, opts = {})
  data, _status_code, _headers = preprocessing_unskew_with_http_info(image_file, opts)
  data
end

#preprocessing_unskew_with_http_info(image_file, opts = {}) ⇒ Array<(String, Fixnum, Hash)>

Detect and unskew a photo of a document Detect and unskew a photo of a document (e.g. taken on a cell phone) into a perfectly square image. Great for document scanning applications; once unskewed, this image is perfect for converting to PDF using the Convert API or optical character recognition using the OCR API.

Parameters:

  • image_file

    Image file to perform OCR on. Common file formats such as PNG, JPEG are supported.

  • opts (Hash) (defaults to: {})

    the optional parameters

Returns:

  • (Array<(String, Fixnum, Hash)>)

    String data, response status code and response headers



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# File 'lib/cloudmersive-ocr-api-client/api/preprocessing_api.rb', line 312

def preprocessing_unskew_with_http_info(image_file, opts = {})
  if @api_client.config.debugging
    @api_client.config.logger.debug 'Calling API: PreprocessingApi.preprocessing_unskew ...'
  end
  # verify the required parameter 'image_file' is set
  if @api_client.config.client_side_validation && image_file.nil?
    fail ArgumentError, "Missing the required parameter 'image_file' when calling PreprocessingApi.preprocessing_unskew"
  end
  # resource path
  local_var_path = '/ocr/preprocessing/image/unskew'

  # query parameters
  query_params = {}

  # header parameters
  header_params = {}
  # HTTP header 'Accept' (if needed)
  header_params['Accept'] = @api_client.select_header_accept(['application/json', 'text/json', 'application/xml', 'text/xml'])
  # HTTP header 'Content-Type'
  header_params['Content-Type'] = @api_client.select_header_content_type(['multipart/form-data'])

  # form parameters
  form_params = {}
  form_params['imageFile'] = image_file

  # http body (model)
  post_body = nil
  auth_names = ['Apikey']
  data, status_code, headers = @api_client.call_api(:POST, local_var_path,
    :header_params => header_params,
    :query_params => query_params,
    :form_params => form_params,
    :body => post_body,
    :auth_names => auth_names,
    :return_type => 'String')
  if @api_client.config.debugging
    @api_client.config.logger.debug "API called: PreprocessingApi#preprocessing_unskew\nData: #{data.inspect}\nStatus code: #{status_code}\nHeaders: #{headers}"
  end
  return data, status_code, headers
end