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Dialogflow vs Wit.ai: What are the differences?

Introduction

Dialogflow and Wit.ai are both popular natural language processing (NLP) tools used for building conversational AI applications. While they have similarities in terms of functionality, they also have key differences that set them apart. In this comparison, we will explore six important differences between Dialogflow and Wit.ai.

  1. Integration with Platforms: Dialogflow provides seamless integration with various platforms, including Facebook Messenger, Slack, and Google Assistant. It offers pre-built integrations and easy setup for these platforms. On the other hand, Wit.ai is more flexible and allows integration with any platform using its API. It provides developers with more control and customization options for integrating their applications.

  2. Training Process: Dialogflow offers a user-friendly web interface for training and managing conversational agents. It uses an intent-driven approach, where developers define specific intents and train the AI model accordingly. Wit.ai, on the other hand, takes a more data-driven approach. It relies on a chatbot builder platform to collect user interactions and uses machine learning algorithms to train the AI model based on the collected data.

  3. Built-in Small Talk: Dialogflow comes with a built-in small talk feature, which makes it easier to handle generic queries and provide appropriate responses. This feature allows developers to quickly handle common conversational scenarios without the need for extensive training or customization. Wit.ai, on the other hand, does not have a built-in small talk feature. Developers using Wit.ai need to handle generic queries by defining specific intents and training the model accordingly.

  4. Entity Extraction: Dialogflow provides robust entity extraction capabilities. It allows developers to define custom entities and extract important information from user inputs. Developers can build complex entity hierarchies and use them to improve the accuracy of their conversational agents. Wit.ai also supports entity extraction but has limitations compared to Dialogflow. It does not support hierarchical entities and has fewer options for customizing entity recognition.

  5. Language Support: Dialogflow supports a wide range of languages, including English, French, German, Spanish, and many more. It has built-in language support for over 20 languages. On the other hand, Wit.ai supports fewer languages compared to Dialogflow. Although it covers popular languages like English, Spanish, and French, the language support for Wit.ai is more limited.

  6. Pricing Structure: Dialogflow offers a pricing structure based on usage and provides a free tier with certain limitations. It also offers various pricing plans based on the scale and needs of the application. Wit.ai, on the other hand, is completely free to use, regardless of the usage or scale of the application. This makes Wit.ai a cost-effective option for developers on a tight budget.

In summary, Dialogflow offers extensive platform integration, a user-friendly interface, built-in small talk, robust entity extraction, wide language support, and a flexible pricing structure. Wit.ai, on the other hand, provides more customization options for platform integration, takes a data-driven training approach, requires explicit definition of intents for small talk, has limited entity extraction capabilities, supports fewer languages, and is completely free to use.

Advice on Dialogflow and Wit.ai
Needs advice
on
BotkitBotkitDialogflowDialogflow
and
rasa NLUrasa NLU

Hi, does anyone have recommendations for a chatbot framework? I am currently using Botpress, and I am not happy with it. The upside is: They pretty much have everything you can ask for in a bot solution, but the issue is: They did nothing right, the documentation is terrible, and you have this feeling of it falling apart at any time, which is what actually happened once.

My ideal solution would have:

  • Support for Messenger and web (should either have a website chat plugin or straightforward integration with a different one)
  • A visual builder (for none tech team members) | This is not a hard requirement though
  • A slick DX for building simple things like API calls or more advanced stuff.
  • We currently only have a "click bot," so no crazy NLP features required, but in the future a requirement

What I do not want: - I do not want a solution where "someone else" builds the bot for me

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Replies (1)
Samantha Delfin
Data Scientist at ArkusNexus · | 2 upvotes · 52.1K views
Recommends
on
DialogflowDialogflow

Dialogflow includes:

  • OOTB integration with Messenger and you may use the Web Demo integration provided to embed it to your website. For Messenger, you even have some responses such as image responses, card responses and for those that are not available you can use custom payload.
  • It has a very nice visual builder which can be easily used by non-technical builders.
  • Fulfillment allows you to easily integrate your APIs.

Coursera has a very nice two-week course to learn how to use it.

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Pros of Dialogflow
Pros of Wit.ai
  • 17
    Built-in conversational agents
  • 7
    Custom Webhooks
  • 5
    Great interface
  • 5
    Multi Lingual
  • 4
    OOTB integrations
  • 2
    Knowledge base
  • 1
    Quick display
  • 4
    The interface to train is really easy
  • 3
    It´s free

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Cons of Dialogflow
Cons of Wit.ai
  • 9
    Multi lingual
  • 2
    Can’t be self-hosted
    Be the first to leave a con

    Sign up to add or upvote consMake informed product decisions

    What is Dialogflow?

    Give users new ways to interact with your product by building engaging voice and text-based conversational apps.

    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 Dialogflow?
    What companies use Wit.ai?
    See which teams inside your own company are using Dialogflow or Wit.ai.
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    What tools integrate with Dialogflow?
    What tools integrate with Wit.ai?

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    What are some alternatives to Dialogflow and Wit.ai?
    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.
    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.
    IBM Watson
    It combines artificial intelligence (AI) and sophisticated analytical software for optimal performance as a "question answering" machine.
    TensorFlow
    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
    JavaScript
    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
    See all alternatives