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Api.ai

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Api.ai vs Wit.ai: What are the differences?

Introduction

When integrating AI tools into websites, developers often consider between Api.ai and Wit.ai due to their popularity and functionality. Both platforms offer natural language processing capabilities but differ in certain features that can impact the development process. Understanding the key differences between Api.ai and Wit.ai can help developers make an informed decision on which platform best suits their project requirements.

  1. Supported Languages: Api.ai supports a wide range of languages, including English, Spanish, Chinese, and French, making it versatile for global applications. On the other hand, Wit.ai primarily focuses on English, limiting its applicability in multilingual projects. Developers who require language flexibility may prefer Api.ai for its extensive language support.

  2. Training Model: Api.ai utilizes a machine learning training model that requires less manual input for training the AI, making it easier for developers to create and deploy models quickly. In contrast, Wit.ai employs a crowd-sourced approach where users contribute to training data, leading to a more collaborative training process but requiring more effort in managing training data. Depending on the preferred training approach, developers may choose Api.ai for its streamlined training model or Wit.ai for its community-driven training process.

  3. Integration Options: Wit.ai offers seamless integration with Facebook Messenger, making it an ideal choice for developers working on chatbot applications for the Messenger platform. Api.ai, while supporting various platform integrations, does not have the same level of integration with Facebook Messenger as Wit.ai. Developers focused on Messenger chatbot development may find Wit.ai more suited to their needs.

  4. Developer Environment: Api.ai provides a user-friendly developer interface with comprehensive documentation, enabling developers to quickly familiarize themselves with the platform and start building conversational interfaces efficiently. In comparison, Wit.ai offers a more minimalistic developer environment, which may require additional exploration for developers to fully utilize its features. Developers looking for a straightforward development experience may prefer Api.ai, while those seeking more customization options may opt for Wit.ai.

In Summary, understanding the differences in language support, training model, integration options, and developer environment between Api.ai and Wit.ai can guide developers in choosing the AI platform that aligns best with their project requirements.

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Pros of Api.ai
Pros of Wit.ai
  • 4
    55
  • 4
    The interface to train is really easy
  • 3
    It´s free

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What is Api.ai?

API.AI is a natural language understanding platform that makes it easy for developers to design and integrate intelligent, robust conversational user interfaces into mobile, web applications, and devices.

What is Wit.ai?

Iti is an API that makes it very easy for developers to create applications or devices that you can talk to. Any app, or any device, like a smart watch, Google Glass, Nest, even a car, can stream audio to the Wit API, and get actionable data in return. We turn speech into actions. Think Twilio for Natural Language, with Stripe-level developer friendliness.

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What companies use Api.ai?
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What are some alternatives to Api.ai and Wit.ai?
Recast.AI
Our artificial intelligence is agile: just create a few inputs and it will learn to detect the common meaning behind new sentences. Leverage the community to quickly build your bot with ready to use building blocks.
Kore.ai
It is the only chatbot platform built with the enterprise in mind. Build NLP ready chatbots that use machine language and AI to complete all types of tasks.
Amazon Lex
Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
Dialogflow
Give users new ways to interact with your product by building engaging voice and text-based conversational apps.
Microsoft Bot Framework
The Microsoft Bot Framework provides just what you need to build and connect intelligent bots that interact naturally wherever your users are talking, from text/sms to Skype, Slack, Office 365 mail and other popular services.
See all alternatives