Natural conversational experiences
Dialogflow is an end-to-end, build-once deploy-everywhere development suite for creating conversational interfaces for websites, mobile applications, popular messaging platforms, and IoT devices. You can use it to build interfaces (such as chatbots and conversational IVR) that enable natural and rich interactions between your users and your business. Dialogflow Enterprise Edition users have access to Google Cloud Support and a service level agreement (SLA) for production deployments.
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 Cloud 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.
SUPPORTED USE CASES
Build conversational interfaces that can perform tasks such as following-up on past orders, scheduling appointments, answering common questions, or assisting a user with simple requests.
Use conversational experiences within your enterprise applications to make it easy for employees to access critical business information and improve productivity (e.g. provide sales with information about local opportunities).
Conduct transactions with your users on their preferred platform, at any time, from anywhere in the world. Whether your users want to purchase goods or schedule deliveries, Dialogflow offers a self-service experience for users who want personalized and rich responses.
Make your IoT devices smarter with conversational interfaces. Dialogflow adds a layer of intelligence to your smart devices, enabling them to understand the context of a user’s interactions and respond with precision.