Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversToolsAgents and toolkitsAINetworkAirbyte Question AnsweringAmadeusAzure Cognitive ServicesClickUp Langchain ToolkitCSVDocument ComparisonGithubGitlabGmailGoogle Drive toolJiraJSONMultiOnOffice365OpenAPINatural Language APIsPandas DataframePlayWright BrowserPowerBI DatasetPythonSpark DataframeSpark SQLSQL DatabaseVectorstoreXorbitsMemoryCallbacksChat loadersComponentsAgents and toolkitsAzure Cognitive ServicesOn this pageAzure Cognitive ServicesThis toolkit is used to interact with the Azure Cognitive Services API to achieve some multimodal capabilities.Currently There are four tools bundled in this toolkit:AzureCogsImageAnalysisTool: used to extract caption, objects, tags, and text from images. (Note: this tool is not available on Mac OS yet, due to the dependency on azure-ai-vision package, which is only supported on Windows and Linux currently.)AzureCogsFormRecognizerTool: used to extract text, tables, and key-value pairs from documents.AzureCogsSpeech2TextTool: used to transcribe speech to text.AzureCogsText2SpeechTool: used to synthesize text to speech.First, you need to set up an Azure account and create a Cognitive Services resource. You can follow the instructions here to create a resource. Then, you need to get the endpoint, key and region of your resource, and set them as environment variables. You can find them in the "Keys and Endpoint" page of your resource.# !pip install --upgrade azure-ai-formrecognizer > /dev/null# !pip install --upgrade azure-cognitiveservices-speech > /dev/null# For Windows/Linux# !pip install --upgrade azure-ai-vision > /dev/nullimport osos.environ["OPENAI_API_KEY"] = "sk-"os.environ["AZURE_COGS_KEY"] = ""os.environ["AZURE_COGS_ENDPOINT"] =
This toolkit is used to interact with the Azure Cognitive Services API to achieve some multimodal capabilities.
This toolkit is used to interact with the Azure Cognitive Services API to achieve some multimodal capabilities. ->: Skip to main contentü¶úÔ∏èüîó LangChainDocsUse casesIntegrationsAPICommunityChat our docsLangSmithJS/TS DocsSearchCTRLKProvidersAnthropicAWSGoogleMicrosoftOpenAIMoreComponentsLLMsChat modelsDocument loadersDocument transformersText embedding modelsVector storesRetrieversToolsAgents and toolkitsAINetworkAirbyte Question AnsweringAmadeusAzure Cognitive ServicesClickUp Langchain ToolkitCSVDocument ComparisonGithubGitlabGmailGoogle Drive toolJiraJSONMultiOnOffice365OpenAPINatural Language APIsPandas DataframePlayWright BrowserPowerBI DatasetPythonSpark DataframeSpark SQLSQL DatabaseVectorstoreXorbitsMemoryCallbacksChat loadersComponentsAgents and toolkitsAzure Cognitive ServicesOn this pageAzure Cognitive ServicesThis toolkit is used to interact with the Azure Cognitive Services API to achieve some multimodal capabilities.Currently There are four tools bundled in this toolkit:AzureCogsImageAnalysisTool: used to extract caption, objects, tags, and text from images. (Note: this tool is not available on Mac OS yet, due to the dependency on azure-ai-vision package, which is only supported on Windows and Linux currently.)AzureCogsFormRecognizerTool: used to extract text, tables, and key-value pairs from documents.AzureCogsSpeech2TextTool: used to transcribe speech to text.AzureCogsText2SpeechTool: used to synthesize text to speech.First, you need to set up an Azure account and create a Cognitive Services resource. You can follow the instructions here to create a resource. Then, you need to get the endpoint, key and region of your resource, and set them as environment variables. You can find them in the "Keys and Endpoint" page of your resource.# !pip install --upgrade azure-ai-formrecognizer > /dev/null# !pip install --upgrade azure-cognitiveservices-speech > /dev/null# For Windows/Linux# !pip install --upgrade azure-ai-vision > /dev/nullimport osos.environ["OPENAI_API_KEY"] = "sk-"os.environ["AZURE_COGS_KEY"] = ""os.environ["AZURE_COGS_ENDPOINT"] =