Voiceflow offers a "Sandbox" plan that is free forever for individual users, allowing you to build and test agents. For collaborative workspaces and production-scale usage (more tokens/credits), paid plans start at roughly $60/editor/month.

Do I need to know how to code to use Voiceflow?

No, you can build very powerful agents using only the drag-and-drop interface and the Knowledge Base. However, knowing a little JavaScript allows you to unlock advanced capabilities like complex API integrations.

Can I connect Voiceflow to my own database?

Yes, using the "API Step," you can make HTTP requests to any external endpoint, allowing your agent to fetch or send data to your own servers and databases.

Which AI models does Voiceflow use?

Voiceflow is model-agnostic. You can choose to power your agent with various models including GPT-4o, GPT-4 Turbo, Claude 3.5 Sonnet, and others depending on your needs for speed vs. intelligence.

Voiceflow

The fastest way to build advanced AI Agents that talk to customers like a human.

From Voiceflow Inc.

Founder: Braden Ream, Tyler Han, Andrewe Lawrence, and Michael Hood

Code & Development

Mar 2019

250K+

Freemium

Pricing Model

Freemium

Starting Price

$60/Month

About This AI

Voiceflow is a collaborative, low-code platform designed for building and deploying conversational AI agents.

It serves as a bridge between design and development, allowing teams to create complex chatbots and voice assistants using a visual drag-and-drop interface.

Unlike rigid chatbot builders, Voiceflow offers deep flexibility by integrating with any LLM (like GPT-4 or Claude), facilitating “Retrieval Augmented Generation” (RAG) via its Knowledge Base, and supporting custom JavaScript logic.

It is widely used by enterprises to automate customer support and internal operations without getting locked into a single AI vendor.

AI Agents Coding

Pricing

Pricing Model

Freemium

Starting Price

$60/Month

Key Features

Visual Workflow Builder: A canvas-based drag-and-drop interface to design conversation logic, loops, and conditions visually.
nowledge Base (RAG): Allows users to upload documents (PDFs, URLs, text) to train the agent, enabling it to answer questions using specific business data.
Multi-LLM Support: Model-agnostic platform that lets you switch between OpenAI, Anthropic, or other LLMs for different parts of the conversation.
Prototyping Engine: Instantly test and debug agents in the browser with a shareable prototype link before deployment.
Developer Toolkit: Includes a robust API, JavaScript steps for custom logic, and export options for developer handoff.
Multi-Channel Deployment: deploy agents to Webchat, WhatsApp, Slack, Microsoft Teams, or custom interfaces via API.

Pros

Exceptional visual interface makes complex logic easy to understand.
Prevents vendor lock-in by supporting multiple LLM providers.
Strong collaboration features for teams (commenting, sharing).
Powerful "Knowledge Base" simplifies setting up RAG pipelines.
Great balance between no-code ease and low-code power (JS steps).

Cons

Advanced logic still requires some understanding of variables and JavaScript.
"Tokens" and "Credits" pricing model can be confusing to estimate for high-volume users.
Reporting and analytics on lower tiers can be somewhat basic.

Best for Conversation designers, product managers, and developers looking to build, prototype, and scale complex AI agents for customer support or internal automation.

FAQs

Is Voiceflow free?
Voiceflow offers a “Sandbox” plan that is free forever for individual users, allowing you to build and test agents. For collaborative workspaces and production-scale usage (more tokens/credits), paid plans start at roughly $60/editor/month.
Do I need to know how to code to use Voiceflow?
No, you can build very powerful agents using only the drag-and-drop interface and the Knowledge Base. However, knowing a little JavaScript allows you to unlock advanced capabilities like complex API integrations.
Can I connect Voiceflow to my own database?
Yes, using the “API Step,” you can make HTTP requests to any external endpoint, allowing your agent to fetch or send data to your own servers and databases.
Which AI models does Voiceflow use?
Voiceflow is model-agnostic. You can choose to power your agent with various models including GPT-4o, GPT-4 Turbo, Claude 3.5 Sonnet, and others depending on your needs for speed vs. intelligence.