6 Best Voiceflow Alternatives in 2025

Between 2022 and 2025, the world of voice AI evolved faster than most teams could keep up with. Voice builders that once focused on Alexa skills and quick prototypes are now expected to handle complex workflows—voice routing, CRM sync, LLM orchestration, and emotion-aware responses. Tools like Voiceflow helped democratize voice design, but as teams began moving from prototypes to production, many realized they needed platforms with deeper automation, real-time speech recognition, and enterprise-grade analytics. 

This guide explores six top Voiceflow alternatives that regularly feature in product teams’ shortlists. Based on hands-on testing and the experiences shared by users on Reddit and G2, these Voiceflow alternatives are the ones product teams keep coming back to.

If you’re a product manager or a CX lead evaluating the best Voiceflow alternatives in 2025, this list covers every major contender worth testing. 

What are the limitations of Voiceflow?

Voiceflow remains a strong design tool for visual prototyping, especially for Alexa and Google Assistant projects. However, mid-sized businesses and teams moving to production often face limitations such as:

• Complex set up: New users often find the interface and workflow confusing, which slows down initial implementation.

• High pricing when AI bots are used: Costs rise quickly once you start scaling automations or high-volume AI interactions.

• No in-built live chat systems: You need to purchase or connect third-party tools since it doesn't offer a native a live chat option.

• Native integrations support: Limited direct integrations mean extra work setting up connectors or relying on external automation tools.

In short, Voiceflow is ideal for conversation design and usability testing, but less suited for production-scale voice bots that require call routing, LLM orchestration, and analytics.

What to look for in a voice AI Platform

Research from Deloitte and Deepgram both point to a shift from prototype voice tools to production-grade intelligence. Here's what you must look for -

• Transparent pricing that scales with minutes and interactions, not user seats.

• Simple visual builder for non-technical users, and APIs for developers.

• Native support for Twilio, SIP, and WhatsApp voice.

• Advanced features like real-time ASR, adaptive NLU, and emotion detection.

• Comprehensive analytics for call transcripts, latency, and user sentiment.

• Responsive customer support and reliable uptime.

Best Voiceflow alternatives at a glance

If your voicebot sounds like it’s stuck in 2022, these platforms are the upgrade button. Here’s a quick comparison snapshot before we dive deeper into each tool.

1. WotNot – Best overall Voiceflow alternative

WotNot is one of the most balanced Voiceflow alternatives for growth-focused teams. Think of WotNot as Voiceflow’s overachieving cousin: same DNA, but way better at handling calls and conversions. It combines low-code voicebot building with LLM-powered orchestration within the AI Studio. Unlike Voiceflow, WotNot natively supports telephony integrations and CRM sync, enabling businesses to automate inbound and outbound calls and even build conversational experiences on WhatsApp through its WhatsApp chatbot platform.

Key Features:

• WotNot’s voicebot AI offers ASR (Automatic Speech Recognition), LLM-driven dynamic responses, emotion detection, and multi-channel routing through Twilio and WhatsApp.

• Automates both inbound and outbound calls with voice bots that use advanced speech synthesis for natural, human-like conversations.

• Deploys bots across website chat, WhatsApp, SMS, and more, all from the same platform.

• Offers encryption compliance, and flexible hosting (public, on-premises, or private cloud)

• A Bot Builder allows quick drag-and-drop creation of chat flows without code.

• An analytics dashboard tracks performance metrics like call duration, drop-offs, and intent success rates.

• Converts your existing chat flows into voice bots with minimal setup

• Offers enterprise-grade security and hosting options (ISO 27001, SOC 2, GDPR, HIPAA; public/private cloud & on-prem).

Pros:

• Combines no-code design with deep LLM orchestration.

• Seamless integration with CRM, WhatsApp, and Twilio for quick deployment.

• Great onboarding experience as per G2 reviewers.

Cons:

• Advanced telephony routing requires setup.

• Advanced analytics features are available on higher-tier plans.

Pricing:

Free 14-day trial. Paid plans start at $29/month for growth teams, scaling with usage. Book a demo for enterprise needs.

2. Landbot – Voice-Enabled, No-Code Conversational Platform

Landbot is a visual, no-code platform that lets businesses build smart conversational agents that mix AI and logic. It supports web and WhatsApp, making it ideal for lead capture, customer support, or voice-driven workflows.

Key Features

• Combines rule-based flows with AI agents to create conversations that feel natural but stay under your control.

• A drag-and-drop interface to design flows, handle branching logic, and variables.

• Multiple agentic deployment on web and WhatsApp simultaneously.

• Feed your agent with your own content so its AI responses are aligned with your business's knowledge.

• Ready integrations with tools such as OpenAI or Gemini, CRMs, Zapier, and more.

• Comes with built-in analytics

Pros:

• Extremely easy to use for marketers.

• Quick setup and prebuilt templates for lead gen.

Cons:

• Not built for deep contextual conversations.

• Does not offer complex tools for chat flow customization.

• Limited analytics and no native telephony.

Pricing: Starts at $99/month for the core plan.

3. Botpress – Developer control for custom voice agents

Botpress is an open-source platform built for developers who want full control over their voice AI infrastructure. It integrates with Twilio, SIP, and external NLU engines for custom workflows.

Key Features:

• Runs its own engine that handles logic+ LLM calls

• Drag-and-drop interface to design conversation flows with nodes, transitions, and conditional logic.

• Maintains state and memory across turns, allowing bots to track context and deliver more coherent multi-step conversations.

• Each deployed agent runs in its own isolated versioned environment so changes are safe, and the bot can scale.

• Allows injecting JavaScript/TypeScript in conversation flows, run actions, call APIs, or manipulate data.

Pros:

• Full developer control.

• Strong GitHub community and fast issue resolution.

Cons:

• Has technical complexity.

• Steeper setup time compared to no-code tools.

• Pricing can get steep with volumes.

Pricing: Starts at $89/mo + AI spend; enterprise cloud plans are custom-quoted.

4. ManyChat – Ideal for Marketing Automation

ManyChat is not a voice-first tool, but its voice messaging and triggers for WhatsApp and Instagram make it a practical Voiceflow alternative for marketing workflows.

Key Features:

• Ideal for building conversational marketing campaigns, reminders, and drip sequences.

• Uses AI to understand user intent and automate responses intelligently.

• Includes QR codes, landing pages, referral links, comment autoreply, and more to grow subscriber base.

• Integrates with Shopify (and other platforms) for cart recovery, order updates, and product recommendations via chat.

• Seamlessly transfers conversations from bot to a human agent when needed.

• Connects to CRMs, Zapier, webhooks, and email tools.

• Manages opt-ins/opt-outs, maintains contact attributes, and uses secure handling of subscriber data.

• Voice messages are used to enhance customer engagement and retention.

Pros:

• Best for new-gen marketing campaigns.

• Offers powerful outbound marketing across social channels.

• Minimal setup, robust integration ecosystem.

Cons:

• Not suitable for large organizations and teams focused on large-scale support or routing.

• Limited analytics depth for reporting.

• Does not offer voice telephony.

Pricing: Starter plans available at $15/month; higher tiers unlock AI powered automation features.

5. Ada – Enterprise-Ready Voice AI for Support

Ada focuses on automating enterprise-level customer service. Its voice capabilities integrate deeply with CRM and call center systems. It provides omnichannel automation, AI routing, and voice consistency across languages. Ada’s AI models are trained on enterprise data, ensuring accurate intent handling and brand-consistent tone.

Key Features:

• Uses playbooks to train the AI to follow your standard operating procedures (SOPs)

• The agents ingest and search content from your own knowledge bases to provide accurate answers.

• Offers no-code customization

• Authenticates users, redacts PII, and ensures privacy-by-design in conversations.

• Comes with real-time dashboards to track CSAT, resolution rate, and other KPIs to continuously optimize.

• Has SDKs (Web, iOS, Android, React Native) and API for deep integrations and context-sharing.

• Backed by enterprise-grade security with GDPR, SOC 2, HIPAA compliance and zero retention of customer data.

Pros:

• Reliable for high-volume and good voice quality interactions.

• Strong routing and knowledge base integration.

Cons:

• Complex onboarding.

• Custom pricing can be opaque.

Pricing: Custom quotes for mid-market and enterprise customers.

6. Yellow.ai – Emotion-Aware, Omnichannel Voice Intelligence

Yellow.AI brings human-like emotion detection into its voice AI stack. Its Dynamic Conversation Designer allows users to script natural and accurate responses that adapt to caller sentiment.

Key Features:

• Uses a mix of LLMs and rule-based logic to build intelligent agents that think, act, and resolve tasks autonomously.

• Advanced voice bots use proprietary VoiceX to deliver human-like conversations, detect sentiment, understand interruption, and respond with natural pacing.

• Easily creates complex backend workflows by connecting bots to APIs, databases, and business logics.

• Deploys agents across voice, chat, email, and 35+ digital channels; supports 120+ languages/dialects.

• Supports GDPR, SOC 2, HIPAA, etc., as well as role-based access and data governance.

• 150+ readymade conversation templates for common business scenarios (customer support, HR, e-commerce, etc.,)

Pros:

• Emotion detection improves CX.

• Scales across regions and channels.

Cons:

• Requires enterprise-level resources.

• Higher implementation costs.

Pricing: Custom enterprise pricing based on call volume.

Conclusion

If Voiceflow was your playground, these tools are your production-ready stadiums. Voice AI in 2025 is not about fancy flows. According to the Deepgram “State of Voice AI 2025” report, 67% of organisations now consider voice AI core to their product and business strategy. 

While Voiceflow remains a great design tool for prototyping, for AI powered voice agents for production, teams often choose platforms that give better telephony support, stronger NLU orchestration, and reliable analytics for enhanced customer experience. These alternatives to Voiceflow represent the most production-ready voice AI platforms of 2025.

WotNot is a balanced pick for teams seeking rapid deployment with analytics for valuable insights and telephony integration. Botpress is ideal if your engineers want total control. Similarly, Yellow AI and Ada suit businesses needing emotionally intelligent voice agents or strict support automation. Whereas Landbot and ManyChat are good options when voice plays a supporting role in marketing or lead capture.

The right pick depends on whether you need a marketing quick win, a developer-controlled engine, or an enterprise voice brain. Use forum insights and GitHub discussions to compare your voiceflow alternatives and anticipate implementation challenges before signing a contract. 

Sign up now to start with WotNot’s drag and drop interface to build voice apps.