Need advice about which tool to choose?Ask the StackShare community!

Wit

13
57
+ 1
0
Wit.ai

33
97
+ 1
7
Add tool

Wit vs Wit.ai: What are the differences?

What is Wit? Natural Language for the Internet of Things. Turn speech into actionable data. Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.

What is Wit.ai? Natural Language for Developers. 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..

Wit and Wit.ai are primarily classified as "NLP / Sentiment Analysis" and "Chatbot Platforms &" tools respectively.

Some of the features offered by Wit are:

  • Voice-enabled Android and iOS apps
  • Rasberry Pi based home automation commanded by speech
  • Google Glass apps accepting voice commands

On the other hand, Wit.ai provides the following key features:

  • Wit.ai makes it easy for developers to build applications and devices that you can talk or text to
  • Wit.ai learns human language from every interaction
  • Leverages the community: what's learned is shared across developers
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Wit
Pros of Wit.ai
    Be the first to leave a pro
    • 4
      The interface to train is really easy
    • 3
      It´s free

    Sign up to add or upvote prosMake informed product decisions

    What is Wit?

    Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps 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.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Wit and Wit.ai as a desired skillset
    What companies use Wit?
    What companies use Wit.ai?
    See which teams inside your own company are using Wit or Wit.ai.
    Sign up for StackShare EnterpriseLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Wit?
    What tools integrate with Wit.ai?
    What are some alternatives to Wit and Wit.ai?
    SpaCy
    It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
    Transformers
    It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch.
    rasa NLU
    rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
    Gensim
    It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
    Amazon Comprehend
    Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
    See all alternatives