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Microsoft Web Language Model API

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Company health

Employee growth
3% increase in the last year
Web traffic
3% decrease in the last quarter

Ratings

G2
4.5/5
(36)

Microsoft Web Language Model API description

Microsoft Web Language Model API is a cloud-based service from Microsoft that helps your applications understand natural language. It uses powerful language models trained on a massive amount of text data from the internet. This allows your applications to interpret user requests written in everyday language, not just specific commands. This API is particularly useful for English language applications aimed at a US audience.


Who is Microsoft Web Language Model API best for

Microsoft Web Language Model API helps developers integrate natural language processing into their applications. Users praise its easy integration with other Microsoft products, user-friendly interface, and powerful features like sentiment analysis and translation. However, some users find it costly and limited in language support, primarily focused on English. It's best for developers in small to large businesses, particularly those working with English language applications for a US audience.

  • Ideal for small businesses, medium businesses, and large enterprises.

  • Best for E-commerce, Software/IT/Telecommunications, and Marketing/Advertising.


Microsoft Web Language Model API reviews

We've summarised 36 Microsoft Web Language Model API reviews (Microsoft Web Language Model API G2 reviews) and summarised the main points below.

Pros of Microsoft Web Language Model API
  • Easy integration with Azure and other Microsoft products.
  • User-friendly interface and good documentation.
  • Powerful features like sentiment analysis, translation, and entity recognition.
  • Scalable and generally performs well.
  • Customizable language models.
Cons of Microsoft Web Language Model API
  • Costly, especially for students and small projects requiring licenses.
  • Limited language support, primarily focused on English.
  • Azure dependency adds complexity and cost.
  • Documentation and Azure support can be improved.
  • Occasional lags and shutdowns reported.

Microsoft Web Language Model API pricing

The commentary is based on 12 reviews from Microsoft Web Language Model API G2 reviews.

While the Microsoft Web Language Model API is praised for its features and Azure integration, some reviewers express concerns about its cost, particularly for students or small projects. Others mention unclear pricing details, making cost prediction difficult despite potential discounts for heavier usage.

See the Microsoft Web Language Model API pricing page.


Microsoft Web Language Model API alternatives

  • Logo of Azure AI Language
    Azure AI Language
    Unlock text's secrets: analyze, understand, translate, and generate.
    Read more
  • Logo of Azure Text to Speech API
    Azure Text to Speech API
    Lifelike voices for your apps, in many languages.
    Read more
  • Logo of Azure Translator Text API
    Azure Translator Text API
    Instantly translates text in your software, reaching global audiences.
    Read more
  • Logo of Question Answering
    Question Answering
    Finds answers in your data and tells you in plain language.
    Read more
  • Logo of Vext
    Vext
    Connect, configure, and deploy AI models without code.
    Read more
  • Logo of Composable
    Composable
    Build, deploy, and manage custom AI apps securely and easily.
    Read more

Microsoft Web Language Model API FAQ

  • What is Microsoft Web Language Model API and what does Microsoft Web Language Model API do?

    Microsoft Web Language Model API is a cloud service enabling natural language understanding in your applications. Leveraging large language models trained on vast internet text data, it interprets user requests in everyday language. It's especially valuable for English-language applications targeting a US audience, offering easy integration with other Microsoft products and powerful features like sentiment analysis. However, it has limitations in language support and can be costly.

  • How does Microsoft Web Language Model API integrate with other tools?

    Microsoft Web Language Model API easily integrates with Azure and other Microsoft products. This streamlines workflows for users already within the Microsoft ecosystem. While the API primarily supports English, it offers seamless integration for applications targeting a US audience.

  • What the main competitors of Microsoft Web Language Model API?

    Top alternatives to Microsoft Web Language Model API include Azure AI Language, Azure Text to Speech API, Azure Translator Text API, and Question Answering. Other competitors offering similar NLP capabilities are Vext and Composable.

  • Is Microsoft Web Language Model API legit?

    Yes, Microsoft Web Language Model API is a legitimate cloud-based service from Microsoft. It's safe and boasts powerful features like sentiment analysis and translation, facilitating natural language processing in applications. It's well-regarded for easy integration with other Microsoft products and a user-friendly interface.

  • How much does Microsoft Web Language Model API cost?

    I could not find pricing details for Microsoft Web Language Model API. Contact Microsoft directly to determine if this product is worth the investment for your needs.

  • Is Microsoft Web Language Model API customer service good?

    Customer service reviews for Microsoft Web Language Model API are mixed. While praised for user-friendly design, clear documentation, and responsive support, some users mention limited support availability could be improved.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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