APIs

  1. Anomaly Detector

  2. Anomaly Detector v1.1

  3. Anomaly Detector v1.1-preview

  4. Anomaly Detector v1.1-preview.1

  5. Anomaly Detector v1.1-preview.2

  6. AnomalyDetector.EE

  7. Azure AI Document Intelligence 2023-10-31-preview

    Azure AI Document Intelligence extracts information from forms and images into structured data. It includes the following options:

    • Read - Extract text from documents.
    • Layout - Extract text and layout information from documents.
    • ID Document - Extract key information from passports and ID cards.
    • Invoice - Extract key information from invoices.
    • Receipt - Extract key information from receipts.
    • Health Insurance Card - Extract key information from US health insurance cards.
    • IRS Form W-2 - Extract key information from IRS US W2 tax forms (year 2018-current).
    • IRS Form 1098 - Extract key information from United States Internal Revenue Service Form 1098 (2021-current).
    • IRS Form 1098-E - Extract key information from United States Internal Revenue Service Form 1098-E (2021-current).
    • IRS Form 1098-T - Extract key information from United States Internal Revenue Service Form 1098-T (2021-current).
    • Contract - Extract key information from legal contracts.
    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Azure AI Document Intelligence learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  8. Azure AI Document Intelligence 2024-02-29-preview

    Azure AI Document Intelligence extracts information from forms and images into structured data. It includes the following options:

    • Read - Extract text from documents.
    • Layout - Extract text and layout information from documents.
    • ID Document - Extract key information from passports and ID cards.
    • Invoice - Extract key information from invoices.
    • Receipt - Extract key information from receipts.
    • Health Insurance Card - Extract key information from US health insurance cards.
    • IRS Form W-2 - Extract key information from IRS US W2 tax forms (year 2018-current).
    • IRS Form 1098 - Extract key information from United States Internal Revenue Service Form 1098 (2021-current).
    • IRS Form 1098-E - Extract key information from United States Internal Revenue Service Form 1098-E (2021-current).
    • IRS Form 1098-T - Extract key information from United States Internal Revenue Service Form 1098-T (2021-current).
    • Contract - Extract key information from legal contracts.
    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Azure AI Document Intelligence learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  9. Computer Vision API (2022-10-12-preview)

  10. Computer Vision API (2023-02-01-preview)

    The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to extract text using Read OCR, caption an image using descriptive natural language, detect objects, people, and more.

  11. Computer Vision API (2023-04-01-preview)

    The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to extract text using Read OCR, caption an image using descriptive natural language, detect objects, people, and more.

  12. Computer Vision API (v1.0)

  13. Computer Vision API (v2.0)

  14. Computer Vision API (v2.1)

  15. Computer Vision API (v3.0)

  16. Computer Vision API (v3.0-preview)

  17. Computer Vision API (v3.1)

  18. Computer Vision API (v3.1-preview.1)

  19. Computer Vision API (v3.1-preview.2)

  20. Computer Vision API (v3.2)

  21. Computer Vision API (v3.2-preview.1)

  22. Computer Vision API (v3.2-preview.2)

  23. Computer Vision API (v3.2-preview.3)

  24. Computer Vision APIs (2023-10-01)

    The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to find all the people in an image. It also has other features like categorizing the content of images, and describing an image with complete English sentences.

  25. Computer Vision APIs (2024-02-01)

    The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the people in an image. It also has other features like categorizing the content of images, and describing an image with complete English sentences.

  26. Content Moderator - List Management

  27. Content Moderator - Moderate

  28. Content Moderator - Moderate

  29. Content Moderator Client

  30. Content Moderator Client

  31. Content Safety Service

  32. Content Safety Service

  33. Content Safety Service

  34. Content Safety Service

  35. Custom_Vision_Admin_1.0

  36. Custom_Vision_Admin_1.1

  37. Custom_Vision_Prediction_1.0

  38. Custom_Vision_Prediction_1.1

  39. Custom_Vision_Prediction_2.0

  40. Custom_Vision_Prediction_3.0

  41. Custom_Vision_Prediction_3.1

  42. Custom_Vision_Training_1.0

  43. Custom_Vision_Training_1.1

  44. Custom_Vision_Training_1.2

  45. Custom_Vision_Training_2.0

  46. Custom_Vision_Training_2.1

  47. Custom_Vision_Training_2.2

  48. Custom_Vision_Training_3.0

  49. Custom_Vision_Training_3.1

  50. Custom_Vision_Training_3.2

  51. Custom_Vision_Training_3.3

  52. Custom_Vision_Training_3.4-preview

  53. Face API - v1.0

  54. Face API - v1.0-preview

  55. Face API - v1.1-preview.1

  56. Form Recognizer 2021-09-30-preview

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
    • Document - Extract text, selection marks, tables, entities, and general key-value pairs from documents.
    • Business Card - Detects and extracts data from business cards using optical character recognition (OCR) and our business card model, enabling you to easily extract structured data from business cards such as contact names, company names, phone numbers, emails, and more.
    • ID Document - Detects and extracts data from identification documents using optical character recognition (OCR) and our ID document model, enabling you to easily extract structured data from ID documents such as first name, last name, date of birth, document number, and more.
    • Invoices - Detects and extracts data from invoices using optical character recognition (OCR) and our invoice understanding deep learning models, enabling you to easily extract structured data from invoices such as customer, vendor, invoice ID, invoice due date, total, invoice amount due, tax amount, ship to, bill to, line items and more.
    • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  57. Form Recognizer 2022-01-30-preview

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Read - Extract text from documents.
    • Layout - Extract text and layout information from documents.
    • Document - Extract text, layout, entities, and general key-value pairs from documents.
    • Business Card - Extract key information from business cards.
    • ID Document - Extract key information from US driver licenses and international passports.
    • Invoice - Extract key information from invoices.
    • Receipt - Extract key information from receipts.
    • US W2 Tax - Extract key information from IRS US W2 tax forms (year 2018-2021).
    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  58. Form Recognizer 2022-06-30-preview

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Read - Extract text from documents.
    • Layout - Extract text and layout information from documents.
    • Document - Extract text, layout, entities, and general key-value pairs from documents.
    • Business Card - Extract key information from business cards.
    • ID Document - Extract key information from US driver licenses and international passports.
    • Invoice - Extract key information from invoices.
    • Receipt - Extract key information from receipts.
    • US W2 Tax - Extract key information from IRS US W2 tax forms (year 2018-2021).
    • Vaccination Card - Extract key information from US Covid-19 CDC vaccination cards.
    • Health Insurance Card - Extract key information from US health insurance cards.
    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  59. Form Recognizer 2022-08-31

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Read - Extract text from documents.
    • Layout - Extract text and layout information from documents.
    • Document - Extract text, layout, entities, and general key-value pairs from documents.
    • Business Card - Extract key information from business cards.
    • ID Document - Extract key information from passports and ID cards.
    • Invoice - Extract key information from invoices.
    • Receipt - Extract key information from receipts.
    • Health Insurance Card - Extract key information from US health insurance cards.
    • Vaccination Card - Extract key information from US Covid-19 CDC vaccination cards.
    • US W2 Tax - Extract key information from IRS US W2 tax forms (year 2018-2021).
    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  60. Form Recognizer 2023-02-28-preview

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Read - Extract text from documents.
    • Layout - Extract text and layout information from documents.
    • Document - Extract text, layout, entities, and general key-value pairs from documents.
    • Business Card - Extract key information from business cards.
    • ID Document - Extract key information from passports and ID cards.
    • Invoice - Extract key information from invoices.
    • Receipt - Extract key information from receipts.
    • Health Insurance Card - Extract key information from US health insurance cards.
    • Vaccination Card - Extract key information from US Covid-19 CDC vaccination cards.
    • US W2 Tax - Extract key information from IRS US W2 tax forms (year 2018-current).
    • US 1098 Tax - Extract key information from United States Internal Revenue Service Form 1098 (2021-current).
    • US 1098-E Tax - Extract key information from United States Internal Revenue Service Form 1098-E (2021-current).
    • US 1098-T Tax - Extract key information from United States Internal Revenue Service Form 1098-T (2021-current).
    • Contract - Extract key information from legal contracts.
    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  61. Form Recognizer 2023-07-31

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Read - Extract text from documents.
    • Layout - Extract text and layout information from documents.
    • Document - Extract text, layout, entities, and general key-value pairs from documents.
    • Business Card - Extract key information from business cards.
    • ID Document - Extract key information from passports and ID cards.
    • Invoice - Extract key information from invoices.
    • Receipt - Extract key information from receipts.
    • Health Insurance Card - Extract key information from US health insurance cards.
    • US W2 Tax - Extract key information from IRS US W2 tax forms (year 2018-current).
    • US 1098 Tax - Extract key information from United States Internal Revenue Service Form 1098 (2021-current).
    • US 1098-E Tax - Extract key information from United States Internal Revenue Service Form 1098-E (2021-current).
    • US 1098-T Tax - Extract key information from United States Internal Revenue Service Form 1098-T (2021-current).
    • Contract - Extract key information from legal contracts.
    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
  62. Form Recognizer API (v1.0-preview)

    Form Recognizer extracts key value pairs and tables from documents and includes the following options:

    • Custom - Extracts information from forms (PDFs and images) into structured data based on a model created by a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys and tables, and then outputs structured data that includes the relationships within the original file.
    • Prebuilt Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.


    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  63. Form Recognizer API (v2.0)

    On 31 August 2026 Azure AI Document Intelligence (formerly known as Azure Form Recognizer) v2.0 API will be retired. Please transition to Azure AI Document Intelligence v3.1 API by that date following the detailed steps.

    Form Recognizer extracts information from forms and images into structured data. It includes the following options: * Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file. * Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more. * Layout - Extracts text and table structure from documents using optical character recognition (OCR).
  64. Form Recognizer API (v2.1)

    Form Recognizer extracts information from forms and images into structured data. It includes the following options:

    • Form - Extracts information from forms (PDFs and images) into structured data based on a model created from a set of representative training forms. Form Recognizer learns the structure of your forms to intelligently extract text and data. It ingests text from forms, applies machine learning technology to identify keys, tables, and fields, and then outputs structured data that includes the relationships within the original file.
    • Receipt - Detects and extracts data from receipts using optical character recognition (OCR) and our receipt model, enabling you to easily extract structured data from receipts such as merchant name, merchant phone number, transaction date, transaction total, and more.
    • Business Card - Detects and extracts data from business cards using optical character recognition (OCR) and our business card model, enabling you to easily extract structured data from business cards such as contact names, company names, phone numbers, emails, and more.
    • Layout - Extracts text and table structure from documents using optical character recognition (OCR).
    • Invoices - Detects and extracts data from invoices using optical character recognition (OCR) and our invoice understanding deep learning models, enabling you to easily extract structured data from invoices such as customer, vendor, invoice ID, invoice due date, total, invoice amount due, tax amount, ship to, bill to, line items and more.
    • ID Documents - Detects and extracts data from identification documents using optical character recognition (OCR) and our ID document model, enabling you to easily extract structured data from ID documents such as first name, last name, date of birth, document number, and more.
  65. Ingestion API (2024-03-01-preview)

    The Computer Vision API provides state-of-the-art algorithms to process images and return information. For example, it can be used to determine if an image contains mature content, or it can be used to find all the people in an image. It also has other features like categorizing the content of images, and describing an image with complete English sentences.

  66. Language - Conversational Language Understanding Authoring APIs (2022-03-01-preview)

  67. Language - Custom Text Authoring APIs (2022-03-01-preview)

  68. LUIS API

  69. LUIS Endpoint API v2.0

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  70. LUIS Endpoint API v3.0

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  71. LUIS Endpoint API v3.0-preview

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  72. LUIS Programmatic API

  73. LUIS Programmatic APIs v2.0

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
  74. LUIS Programmatic APIs v3.0

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
  75. LUIS Programmatic APIs v3.0-preview

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
  76. Microsoft Azure Metrics Advisor REST API

    Microsoft Azure Metrics Advisor REST API

  77. Microsoft Azure Metrics Advisor REST API v1.1-preview.1

    Microsoft Azure Metrics Advisor REST API (v1.1-preview.1)

  78. Microsoft Cognitive Language Service

    The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview.0

  79. Microsoft Cognitive Language Service - 2021-11-01-preview

    The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0

  80. Microsoft Cognitive Language Service - 2022-02-01-preview

    The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0

  81. Microsoft Cognitive Language Service - 2022-03-01-preview

    The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0

  82. Microsoft Cognitive Language Service - 2022-04-01-preview

    The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview.0

  83. Microsoft Cognitive Language Service - 2022-05-15-preview

    The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview.0

  84. Microsoft Cognitive Language Service - 2022-07-01-preview

    The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview.0

  85. Microsoft Cognitive Language Service - 2023-04-15-preview

    The language service API is a suite of natural language processing (NLP) skills built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction, language detection and question answering. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview.0

  86. Personalizer API

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns your content in a ranked list. As rewards are sent in response to the ranked list, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  87. Personalizer Client 2022-09-01-preview

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  88. Personalizer Client v1.1-preview.1

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  89. Personalizer Client v1.1-preview.2

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  90. Personalizer Client v1.1-preview.3

    Personalizer Service is an Azure Cognitive Service that makes it easy to target content and experiences without complex pre-analysis or cleanup of past data. Given a context and featurized content, the Personalizer Service returns which content item to show to users in rewardActionId. As rewards are sent in response to the use of rewardActionId, the reinforcement learning algorithm will improve the model and improve performance of future rank calls.

  91. Speech Services API v3.1

  92. Speech Services API v3.2-preview.2

  93. Speech Services API version 2024-05-15-preview

  94. Speech to Text API v3.0

  95. Speech to Text API v3.2-preview.1

  96. Text Analytics API (v2.0)

    The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions.

    Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  97. Text Analytics API (v2.1)

    The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase and entity extraction as well as language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions.

    Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

    This API is currently available in:

    • Australia East - australiaeast.api.cognitive.microsoft.com
    • Brazil South - brazilsouth.api.cognitive.microsoft.com
    • Canada Central - canadacentral.api.cognitive.microsoft.com
    • Central India - centralindia.api.cognitive.microsoft.com
    • Central US - centralus.api.cognitive.microsoft.com
    • East Asia - eastasia.api.cognitive.microsoft.com
    • East US - eastus.api.cognitive.microsoft.com
    • East US 2 - eastus2.api.cognitive.microsoft.com
    • France Central - francecentral.api.cognitive.microsoft.com
    • Japan East - japaneast.api.cognitive.microsoft.com
    • Japan West - japanwest.api.cognitive.microsoft.com
    • Korea Central - koreacentral.api.cognitive.microsoft.com
    • North Central US - northcentralus.api.cognitive.microsoft.com
    • North Europe - northeurope.api.cognitive.microsoft.com
    • South Africa North - southafricanorth.api.cognitive.microsoft.com
    • South Central US - southcentralus.api.cognitive.microsoft.com
    • Southeast Asia - southeastasia.api.cognitive.microsoft.com
    • UK South - uksouth.api.cognitive.microsoft.com
    • West Central US - westcentralus.api.cognitive.microsoft.com
    • West Europe - westeurope.api.cognitive.microsoft.com
    • West US - westus.api.cognitive.microsoft.com
    • West US 2 - westus2.api.cognitive.microsoft.com
  98. Text Analytics API (v3.0)

    The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  99. Text Analytics API (v3.1)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. Functionality for analysis of text specific to the healthcare domain and personal information are also available in the API. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  100. Text Analytics API (v3.1-preview.1)

    The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  101. Text Analytics API (v3.1-preview.2)

    The Text Analytics API is a suite of text analytics web services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. No training data is needed to use this API; just bring your text data. This API uses advanced natural language processing techniques to deliver best in class predictions. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  102. Text Analytics API (v3.1-preview.3)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text using NLP tasks such as sentiment analysis, named entity recognition (NER) of general and personally identifiable information domains, key phrase extraction (KPE) and language detection. It can also be used to batch NER and KPE operations asynchronously to process documents with a single request. Furthermore, this API provides an asynchronous operation for analyzing unstructured clinical and biomedical text using NER, entity linking, relation extraction and entity negation tasks. More documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  103. Text Analytics API (v3.1-preview.4)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text using NLP tasks such as sentiment analysis, named entity recognition (NER) of general and personally identifiable information domains, key phrase extraction (KPE) and language detection. It can also be used to batch NER and KPE operations asynchronously to process documents with a single request. Furthermore, this API provides an asynchronous operation for analyzing unstructured clinical and biomedical text using NER, entity linking, relation extraction and entity negation tasks. More documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  104. Text Analytics API (v3.1-preview.5)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text using NLP tasks such as sentiment analysis, named entity recognition (NER) of general and personally identifiable information domains, key phrase extraction (KPE) and language detection. It can also be used to batch NER and KPE operations asynchronously to process documents with a single request. Furthermore, this API provides an asynchronous operation for analyzing unstructured clinical and biomedical text using NER, entity linking, relation extraction and entity negation tasks. More documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  105. Text Analytics API (v3.2-preview.1)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. Functionality for analysis of text specific to the healthcare domain and personal information are also available in the API. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  106. Text Analytics API (v3.2-preview.2)

    The Text Analytics API is a suite of natural language processing (NLP) services built with best-in-class Microsoft machine learning algorithms. The API can be used to analyze unstructured text for tasks such as sentiment analysis, key phrase extraction and language detection. Functionality for analysis of text specific to the healthcare domain and personal information are also available in the API. Further documentation can be found in https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/overview

  107. Token API V1.0