Powered by Google machine learning
Natural language understanding recognizes a user’s intent and extracts prebuilt entities
such as time, date, and numbers. You can train your agent to identify custom entity types by
providing a small dataset of examples. You can also use
30+ prebuilt agents as templates.
Make building serverless apps easy
Dialogflow provides an integrated code editor that allows you to natively build
serverless applications linked to your conversational interface through
Functions for Firebase. Or provide your own custom WebHook that can be hosted in the
cloud or on premises.
Bring your enterprise knowledge
Dialogflow Knowledge Connectors (beta) allow you to bulk add data from your
enterprise to your agent, including FAQs and knowledge-base articles. Knowledge
Connectors use some of the same technologies used by Google Search and the
Google Assistant to extract the right answers from the data corpus provided.
Deliver automated phone service
Dialogflow Phone Gateway (beta) allows you to add a dedicated phone number to
your Dialogflow agent in less than a minute. Users that call the new phone number will talk
directly with your Dialogflow agent. Phone Gateway is based on Google’s
investments in phone connectivity, natural language understanding, speech recognition,
speech synthesis, and more, all in one easy-to-use package.
Deploy across platforms and languages
Dialogflow supports 20+ languages and one-click integration with 14 different platforms.
Engage with more audiences by building a multilingual agent with global reach.
Designed for a voice-first world
You can expand your conversational interface to recognize voice interactions and generate
a voice response, all with a single API call. Powered by
Google Cloud Speech-to-Text and
Cloud Text-to-Speech, it supports real-time streaming and synchronous modes.
Improve experiences with built-in analytics
The integrated Analytics dashboard gives you insight into conversational interactions
so that you can optimize your bot to better recognize and respond to user intents.
Understand user sentiment
Dialogflow now does Sentiment Analysis (beta) for each user query, powered by
Google Cloud Natural Language. Sentiment
analysis scores can be used to hand off unsatisfied users to live agents, or to get a better
understanding of which intents lead to the highest customer sentiment.
Rely on automatic spelling correction
Many users interact in chat environments in a hurry and don’t emphasize correct
spelling or grammar in their conversations. With Automatic Spelling Correction (beta),
Dialogflow automatically corrects spelling mistakes using technology similar to that
used by Google for Search and other products.