Install it using pip install:
pip install cloudmersive-validate-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_validate_api_client from cloudmersive_validate_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
# create an instance of the API class api_instance = cloudmersive_validate_api_client.DomainApi() domain = 'cloudmersive.com' # str | Domain name to check, for example \"cloudmersive.com\". The input is a string so be sure to enclose it in double-quotes. # Configure API key authorization: Apikey api_instance.api_client.configuration.api_key = {} api_instance.api_client.configuration.api_key['Apikey'] = 'f0c513bc-8c00-4491-830e-3e83b015feb6' try: # Validate a domain name api_response = api_instance.domain_check(domain) pprint(api_response) except ApiException as e: print("Exception when calling DomainApi->domain_check: %s\n" % e)
Install it using pip install:
pip install cloudmersive-image-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_image_api_client from cloudmersive_image_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
api_instance = cloudmersive_image_api_client.FaceApi() image_file = 'C:\\temp\\input.jpg' # file | Image file to perform the operation on. Common file formats such as PNG, JPEG are supported. api_instance.api_client.configuration.api_key = {} api_instance.api_client.configuration.api_key['Apikey'] = 'f0c513bc-8c00-4491-830e-3e83b015feb6' try: # Crop image to face (square) api_response = api_instance.face_crop_first(image_file) pprint(api_response) except ApiException as e: print("Exception when calling FaceApi->face_crop_first: %s\n" % e)
Install it using pip install:
pip install cloudmersive-nlp-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_nlp_api_client from cloudmersive_nlp_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
# create an instance of the API class api_instance = cloudmersive_nlp_api_client.ExtractEntitiesStringApi() value = 'Cloudmersive is a leader in Highly Scalable Cloud APIs.' # str | Input string api_instance.api_client.configuration.api_key = {} api_instance.api_client.configuration.api_key['Apikey'] = '04d1a7be-c9d1-4d93-8ec4-e7545c2a570a' try: # Extract entities from string api_response = api_instance.extract_entities_string_post(value) pprint(api_response) except ApiException as e: print("Exception when calling ExtractEntitiesStringApi->extract_entities_string_post: %s\n" % e)
Install it using pip install:
pip install cloudmersive-dataintegration-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_dataintegration_api_client from cloudmersive_dataintegration_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
# Configure API key authorization: Apikey configuration = cloudmersive_dataintegration_api_client.Configuration() configuration.api_key['Apikey'] = 'YOUR_API_KEY' # create an instance of the API class api_instance = cloudmersive_dataintegration_api_client.BackupConvertApi(cloudmersive_dataintegration_api_client.ApiClient(configuration)) input_file = '/path/to/inputfile' # file | Input file to perform the operation on (optional) try: # Lists all tables stored in a SQL Server Backup (.BAK) file api_response = api_instance.dataintegration_backup_convert_mssql_bak_get_tables_post(input_file=input_file) pprint(api_response) except ApiException as e: print("Exception when calling BackupConvertApi->dataintegration_backup_convert_mssql_bak_get_tables_post: %s\n" % e)
Install it using pip install:
pip install cloudmersive-currency-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_currency_api_client from cloudmersive_currency_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
# Configure API key authorization: Apikey configuration = cloudmersive_currency_api_client.Configuration() configuration.api_key['Apikey'] = 'YOUR_API_KEY' # Uncomment below to setup prefix (e.g. Bearer) for API key, if needed # configuration.api_key_prefix['Apikey'] = 'Bearer' # create an instance of the API class api_instance = cloudmersive_currency_api_client.CurrencyExchangeApi(cloudmersive_currency_api_client.ApiClient(configuration)) source = 'source_example' # str | Source currency three-digit code (ISO 4217), e.g. USD, EUR, etc. destination = 'destination_example' # str | Destination currency three-digit code (ISO 4217), e.g. USD, EUR, etc. source_price = 1.2 # float | Input price, such as 19.99 in source currency try: # Converts a price from the source currency into the destination currency api_response = api_instance.currency_exchange_convert_currency(source, destination, source_price) pprint(api_response) except ApiException as e: print("Exception when calling CurrencyExchangeApi->currency_exchange_convert_currency: %s\n" % e)
Install it using pip install:
pip install cloudmersive-convert-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_convert_api_client from cloudmersive_convert_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
# create an instance of the API class api_instance = cloudmersive_convert_api_client.ConvertDataApi() input_file = 'C:\\temp\\input.csv' # file | Input file to perform the operation on. api_instance.api_client.configuration.api_key = {} api_instance.api_client.configuration.api_key['Apikey'] = '04d1a7be-c9d1-4d93-8ec4-e7545c2a570a' try: # CSV to JSON conversion api_response = api_instance.convert_data_csv_to_json(input_file) pprint(api_response) except ApiException as e: print("Exception when calling ConvertDataApi->convert_data_csv_to_json: %s\n" % e)
Install it using pip install:
pip install cloudmersive-ocr-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_ocr_api_client from cloudmersive_ocr_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
api_instance = cloudmersive_ocr_api_client.ImageOcrApi() image_file = 'C:\\temp\\input.jpg' # file | Image file to perform OCR on. Common file formats such as PNG, JPEG are supported. api_instance.api_client.configuration.api_key = {} api_instance.api_client.configuration.api_key['Apikey'] = '04d1a7be-c9d1-4d93-8ec4-e7545c2a570a' try: # Converts an uploaded image in common formats such as JPEG, PNG into text via Optical Character Recognition. api_response = api_instance.image_ocr_post(image_file) pprint(api_response) except ApiException as e: print("Exception when calling ImageOcrApi->image_ocr_post: %s\n" % e)
Install it using pip install:
pip install cloudmersive-barcode-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_barcode_api_client from cloudmersive_barcode_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
# create an instance of the API class api_instance = cloudmersive_barcode_api_client.BarcodeLookupApi() value = 'value_example' # str | Barcode value api_instance.api_client.configuration.api_key = {} api_instance.api_client.configuration.api_key['Apikey'] = '04d1a7be-c9d1-4d93-8ec4-e7545c2a570a' try: # Lookup a barcode value and return product data api_response = api_instance.barcode_lookup_ean_lookup(value) pprint(api_response) except ApiException as e: print("Exception when calling BarcodeLookupApi->barcode_lookup_ean_lookup: %s\n" % e)
Install it using pip install:
pip install cloudmersive-video-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_video_api_client from cloudmersive_video_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
from __future__ import print_function import time from pprint import pprint # Configure API key authorization: Apikey configuration = cloudmersive_video_api_client.Configuration() configuration.api_key['Apikey'] = 'YOUR_API_KEY' # create an instance of the API class api_instance = cloudmersive_video_api_client.VideoApi(cloudmersive_video_api_client.ApiClient(configuration)) input_file = '/path/to/inputfile' # file | Input file to perform the operation on. file_url = 'file_url_example' # str | Optional; URL of a video file being used for conversion. Use this option for files larger than 2GB. (optional) max_width = 56 # int | Optional; Maximum width of the output video, up to the original video width. Defaults to original video width. (optional) max_height = 56 # int | Optional; Maximum height of the output video, up to the original video width. Defaults to original video height. (optional) preserve_aspect_ratio = true # bool | Optional; If false, the original video's aspect ratio will not be preserved, allowing customization of the aspect ratio using maxWidth and maxHeight, potentially skewing the video. Default is true. (optional) frame_rate = 56 # int | Optional; Specify the frame rate of the output video. Defaults to original video frame rate. (optional) quality = 56 # int | Optional; Specify the quality of the output video, where 100 is lossless and 1 is the lowest possible quality with highest compression. Default is 50. (optional) extend_processing_time = true # bool | Optional; If true, will allow additional processing time for the video file conversion, using one API call per additional minute over the 5 minute default processing time, up to a maximum of 25 total minutes. This is generally necessary for files larger than 500 MB or longer than 30 minutes. (optional) try: # Convert Video to MP4 format. api_response = api_instance.video_convert_to_mp4(input_file, file_url=file_url, max_width=max_width, max_height=max_height, preserve_aspect_ratio=preserve_aspect_ratio, frame_rate=frame_rate, quality=quality, extend_processing_time=extend_processing_time) pprint(api_response) except ApiException as e: print("Exception when calling VideoApi->video_convert_to_mp4: %s\n" % e)
Install it using pip install:
pip install cloudmersive-virus-api-client
Import the API Client package by adding this line to the top of your .py file:
import cloudmersive_virus_api_client from cloudmersive_virus_api_client.rest import ApiException
Get your API Key (available in your Account Dashboard) and instantiate the API Client object:
# create an instance of the API class api_instance = cloudmersive_virus_api_client.ScanApi() input_file = 'C:\\Temp\\input.csv' # file | Input file to perform the operation on. api_instance.api_client.configuration.api_key = {} api_instance.api_client.configuration.api_key['Apikey'] = '04d1a7be-c9d1-4d93-8ec4-e7545c2a570a' try: # Scan a file for viruses api_response = api_instance.scan_file(input_file) pprint(api_response) except ApiException as e: print("Exception when calling ScanApi->scan_file: %s\n" % e)