The conversational AI industry has grown exponentially, revolutionizing how businesses and developers create chatbots and voice assistants. Tools like Voiceflow have been pivotal in this transformation, offering an easy way to design and deploy conversational interfaces. This guide will help you find the best Voiceflow alternatives for your needs.

However, as businesses and developers demand more advanced features, flexibility, and cost-effective solutions, a few drawbacks of Voiceflow (such as limited features and pricing concerns) have prompted many to look for a Voiceflow alternative. As a result, alternatives like Retell AI, Synthflow, and Sierra AI are emerging as strong contenders.

This guide compares Voiceflow with each voiceflow alternative in 2024, highlighting their strengths, weaknesses, and ideal use cases.

What Is Voiceflow AI?

Voiceflow AI is a no-code platform for building conversational applications for platforms like Amazon Alexa, Google Assistant, and chat-based interfaces. Its visual editor, a drag-and-drop interface, is a key feature that simplifies the design process and makes it especially popular among users without technical expertise.

Key Strengths:

• Intuitive interface for building conversational workflows.
• Multi-platform support for voice and chat applications.
• Teams focused: supports collaboration and shared project development.
• A strong community with extensive learning resources.

Notable Limitations:

• Pricing: Voiceflow’s cost structure may be prohibitive for small businesses and larger teams.
• Customization: Advanced developers might find it limited for complex workflows.
• Feature Variety: Some users may find Voiceflow to be just a chatbot builder, lacking broader automation features found in more comprehensive platforms.
• Voice-Centric Design: While great for voice applications, it’s less suited for broader conversational AI needs.

Why Consider Voiceflow Alternatives?

As conversational AI applications become more diverse, some teams find Voiceflow’s offerings don’t fully meet their needs. Here are common reasons to look for alternatives:

• Budget Constraints: Voiceflow’s pricing escalates significantly for growing teams and enterprises.
• Advanced Customization: Teams needing highly tailored workflows may find the platform restrictive.
• Feature Variety: Alternatives may offer a better fit for chatbots, virtual assistants, integrated AI solutions, or provide superior customer engagement tools.
• AI-Powered Automation: Some teams seek alternatives that deliver more advanced AI-powered automation, such as automating FAQs, order tracking, and real-time visitor interactions to boost efficiency.

What Makes a Good Alternative?

When evaluating alternatives to Voiceflow, focus on these key attributes:

• Ease of Use: Platforms should balance simplicity and functionality.
• Customization: Look for tools that support complex workflows and offer robust integrations with other tools and platforms, such as CRMs, calendars, and task managers.
• Scalability: Choose a solution that grows with your project or business.
• Pricing: Consider whether the pricing model aligns with your budget and scale.
• Support and Resources: Ensure there’s robust documentation, community, and technical support.

Top Voiceflow Alternatives

If Voiceflow doesn’t meet your requirements, these platforms might be the solution. This section will help you find the best Voiceflow alternative for building voice bots and to build voice apps that deliver personalized, human-like interactions.

1. Retell AI

Retell AI stands out as a comprehensive platform for developing conversational AI tools tailored to both voice and text-based applications.

Key Features:

• Easy to use telephony system
• Purchase a new unique phone number
• Connect your own telephony system via SIP trunking
• Powerful and customizable voice bot creation platform
• Advanced voice capabilities for real-time, high-quality conversations, ensuring reliable voice quality and low latency for seamless customer engagement

Ideal Use Cases:

• Lead Qualification: Retell AI automates lead qualification by engaging prospects, gathering information, and determining their readiness for sales follow-up.
• Customer Support: Retell AI enhances customer support with AI-powered voice assistants that provide fast, accurate, and personalized responses to user inquiries, efficiently handling a wide range of customer queries.
• Appointment Setting: Retell AI simplifies appointment scheduling by handling bookings, reminders, and cancellations through natural, conversational voice interactions.

2. Synthflow

Synthflow is a scalable voice AI with a no-code visual workflow builder, real-time personalization, and deep CRM integrations. Supports HIPAA compliance, inbound routing, and multi-tenant management for agencies. Designed for production-grade voice automation.

Advantages Compared to Voiceflow

• All-in-one voice stack: Unlike Voiceflow, which often relies on stitching together external voice/telephony APIs, Synthflow markets itself as an integrated solution, from voice synthesis to telephony, reducing external dependencies.
• No code integrations: Synthflow supports no code integrations, allowing users to connect systems and deploy AI-powered voice interactions without writing a single line of code.
• Optimized for production voice calls: While Voiceflow is often praised as a prototyping tool, Synthflow positions itself as ready for live, real-world calls out of the box.
• Deterministic flow logic & branching control: Their Flow Designer supports deterministic branching logic, variable capture, and more predictable dialog paths (something more rigid and debuggable) compared to looser prototype-first designs.
• Transparent pricing aligned with voice use: Synthflow publishes minute-based pricing and bundles voice + LLM + infrastructure in clearer plans.
• Faster rollout for voice agent use cases: Because the platform is built around call workflows, setting up voice agents (inbound + outbound) is more streamlined than trying to adapt a tool designed for multi-channel or chat-first design.

Pricing

Here’s a breakdown of Synthflow’s pricing:

Synthflow is known for its affordable pricing and transparent pricing structure, making it accessible for businesses of all sizes.

Synthflow offers multiple pricing tiers to suit different user needs. The starter plan is one of the cheapest options for entry-level users, starting at $29/month for 5,000 minutes and 1 agent. The Growth plan at $99/month includes 20,000 minutes and unlimited agents. The Scale plan at $249/month supports 60,000 minutes. Custom enterprise pricing is also available.

G2 Rating: 4.5/5 (815 reviews)

Review: “What I like best about Synthflow is that it doesn’t bury you in technical complexity. You don’t need to be a coder or spend weeks wiring together APIs just to get a usable AI voice agent”.

Recommended for

Marketing teams, mid sized businesses, and enterprises with specific business needs in compliance and automation, as well as those requiring robust inbound support automation and deep integrations.

Synthflow is a scalable voice AI with a no-code visual workflow builder, real-time personalization, and deep CRM integrations. Supports HIPAA compliance, inbound routing, and multi-tenant management for agencies. Designed for production-grade voice automation.

3. PolyAI

PolyAI specializes in multilingual customer support and call deflection. Integrates with major CRMs and contact center systems, and provides advanced voice customization, deep analytics, and rapid deployment.

Advantages Compared to Voiceflow

• Enterprise-grade voice automation: PolyAI is purpose-built for large-scale voice customer service, offering advanced call containment, escalation logic, and reliability that go far beyond Voiceflow’s prototyping scope.
• Context memory and caller recognition: It can identify returning customers and recall previous interactions, creating more natural, less repetitive conversations that feel truly personalized.
• High scalability and uptime: PolyAI is designed for 24/7 enterprise environments, supporting heavy call volumes and strict SLAs, while Voiceflow focuses more on design and testing phases.
• Robust speech understanding: Its models handle accents, interruptions, and conversational quirks with ease, maintaining clarity even under noisy real-world conditions.
• Built-in transparency and control: With its Agent Studio, teams can fine-tune model behavior, track performance, and audit decision paths, something Voiceflow currently lacks at production scale.

Pricing

Custom pricing with high entry thresholds (starting near $150K/year). Pricing is usage-based but not publicly disclosed.

G2 Rating: 5/5 (11 reviews)

Review: "There are many options for AI currently in the market. PolyAI impressed us by providing a product that could be launched in a short amount of time without risking quality".

Recommended for:

Large organizations, large enterprises, and contact centers needing fully managed, custom voice AI solutions with top-tier language capabilities.

4. Bland

Bland emphasizes hyper-realistic voice experiences with strong security and data governance. It supports high-volume inbound and outbound calling, SMS, and omnichannel workflows. Bland markets itself as capable of scaling up to one million concurrent calls, making it attractive to enterprises that demand resiliency.

Advantages Compared to Voiceflow

• Voice-first infrastructure: Bland is purpose-built for real phone conversations and large-scale voice automation, going beyond the capabilities of a typical ai chatbot by delivering human-like, empathetic, and conversational experiences that traditional text-based ai chatbots cannot match. Voiceflow focuses mainly on designing and prototyping conversational flows.
• Massive scalability: The platform supports up to one million concurrent calls, giving enterprises the reliability and capacity needed for 24/7 high-volume operations.
• Deeper conversational control: Its “Conversational Pathways” feature lets teams blend scripted and generative logic, creating highly structured, on-brand interactions that Voiceflow can’t easily replicate.
• Usage-based pricing: Bland’s pay-per-minute model offers transparent, scalable pricing, a better fit for production call environments than Voiceflow’s subscription-style tiers.
• Built-in analytics and reporting: Every call includes detailed metrics, sentiment analysis, and performance insights, giving teams far more visibility than Voiceflow’s design-centric dashboards.

Pricing

No public pricing. Bland generally positions itself at the enterprise tier, with costs reflecting its scale and customization focus.

Product Hunt Rating: 3/5 (10 reviews)

Best for:

Large enterprises with strict requirements for privacy, governance, and brand voice customization at scale.

5. Ada.cx

Ada.cx powers AI agents that automate customer service across chat, voice, and email, helping support teams handle complex requests at scale.

Unlike traditional bots that rely on rigid scripts, Ada’s platform was built “AI-first”, meaning its agents can understand intent, trigger workflows, and even escalate to humans when needed, all while maintaining a consistent brand tone.

Advantages compared to Voiceflow

• Voice-first conversation design at scale: Ada’s platform is built to handle real phone call interactions, not just prototype voice/chat flows, with natural conversation, handoffs, and context.
• Faster resolution & reduced handle time: Ada Voice is designed to resolve common inquiries immediately by capturing context early and routing calls smartly, which cuts down agent burden and customer wait.
• Advanced task automation for customer service: Ada automates repetitive customer service tasks, streamlining processes and improving efficiency for support teams.
• Seamless omnichannel consistency: Because Ada unifies voice, chat, and email in one platform, a customer can start in voice and continue in chat (or vice versa) without losing context.
• Emotionally adaptive vocal tone: The platform supports dynamic pacing and sentiment-aware tonal shifts.
• Smooth integration with existing telephony systems: Ada Voice can plug into your current contact center / IVR infrastructure, letting you layer AI without ripping out your setup.

G2 Rating: 4.6/5 (155 reviews)

Review: “Ada helped our small support team contain the most easy-to-resolve customer inquiries, freeing-up more time for agents to go through our backlog.”

Pricing

Ada uses a performance-based pricing model, where companies pay based on successful resolutions or interaction volume rather than flat usage fees. Exact pricing depends on the number of monthly conversations, integrations, and deployment channels, but most enterprise plans start in the low six figures annually.

Recommended for:

Brands that prioritize customer experience and improving customer satisfaction at scale, especially e-commerce, fintech, and telecom companies, where multilingual support and fast automation setup are key.

6. Sierra AI

Sierra AI deploys advanced AI agents for customer service that are uniquely trained to align with a company’s specific brand identity.

These agents can reason, predict, and take action not just based on a knowledge base, but also by adhering to the company’s tone, values, and policies for a highly personalized interaction.

Advantages compared to Voiceflow

• Omnichannel agent built once for all channels: Sierra’s Agent OS lets you build an AI agent that works across voice, chat, and messaging, one design, many touchpoints. Sierra excels at managing complex customer interactions across these channels.
• Lifelike voice experience & conversation flow: Sierra’s voice agents are designed to manage interruptions, respond without lag, and feel natural during calls.
• Action-oriented agents, not just Q&A: Beyond answering questions, Sierra agents can take actions (e.g. updating your CRM or handling orders) by integrating with internal systems.
• Consistent brand voice, context, & guardrails: Agents adapt to your tone, policies, and knowledge, ensuring responses stay aligned with brand and rules.
• Performance insights, monitoring & telemetry: Sierra records calls, transcribes, tags conversations by topic and sentiment, and surfaces trends so you can optimize.

G2 Rating: 4.3/5 (12 reviews)

Review: “User friendly, fast and many supported languages. Very complex setup process and more bugs then competitors”.

Pricing

Sierra’s pricing begins at approximately $150,000 annually, making it a more cost-effective alternative for sophisticated AI.

Final pricing is customized based on agent complexity and expected interaction volume. This structure provides a lower total cost of ownership compared to Kore.ai while delivering powerful, brand-aligned automation.

Recommended for:

Customer-centric brands where a consistent voice and adherence to company policy are critical, especially in telecommunications and financial services managing diverse customer segments. Sierra is also recommended for brands looking to analyze and respond to customer behavior, enabling more targeted and personalized engagement.

7. Cognigy

Cognigy is a conversational automation platform built for complex, enterprise-grade deployments.

It supports voice and chat channels, advanced orchestration, multilingual interactions, and customizable workflows, making it a flexible option for multinational organizations.

Advantages Compared to Voiceflow

• Full contact center integration: Cognigy’s Voice Gateway lets you plug into CCaaS, CPaaS, on-prem PBX, or SIP systems—meaning you can deploy voice agents without ripping out existing telephony infrastructure.
• Call tracing & deep diagnostics: You can record entire calls, trace ASR/TTS events, and visualize overlapping speech, giving much deeper insight into phone interactions than what design tools typically offer.
• Custom voice configuration & control: With recent updates, you can fine-tune voice settings at the agent/job level and use custom voices with high flexibility, giving you more control over your brand voice in calls.
• Actionable agent assistance & handoff support: Cognigy agents can remain on calls and assist live agents, offering next-best prompts, knowledge lookup, sentiment cues, or even wrap-up automation.
• Enterprise robustness & multi-channel support: Cognigy supports omnichannel deployment, advanced governance (roles, environments), enterprise scalability, and many prebuilt connectors that bring your AI into real systems, not just prototypes. It also offers seamless integration with messaging platforms, enabling you to reach users across popular chat and communication channels.

Pricing

Enterprise licensing, typically customized to deployment scale and channel usage. Pricing is not publicly listed.

G2 Rating: 4.6/5 (13 reviews)

Review: "Overall I loved it but I must mention that it does not support an extensive workflow".

Recommended For:

Global enterprises with complex workflows, multiple channels, and a need for deep orchestration across languages and regions.

8. Decagon.ai

Decagon.ai offers a unified AI engine that auto-resolves customer issues across chat, voice, email, SMS, and custom channels in any language.

Their approach centers on Agent Operating Procedures (AOPs): natural-language instructions that compile into logic, allowing teams to tweak behavior without heavy coding.

Advantages Compared to Voiceflow

• Built for live voice calls, not just prototyping: Decagon Voice is designed for real, production-grade phone conversations, handling interruptions, context shifts, and dynamic user intent.
• Agent Operating Procedures (AOPs): Teams can define logic in natural language that compiles into agent behavior, letting non-technical users make flow changes while retaining guardrails and structure. Decagon also enables the creation of a custom AI assistant tailored to your business needs.
• Omnichannel consistency with shared brain: Decagon maintains one underlying agent across voice, chat, email, SMS, and custom channels, so context carries across modes instead of being siloed.
• Full visibility & observability: You can trace exactly why an agent made certain decisions—what model it called, what workflow it branched into, giving more auditability than typical design tools.
• Custom voice & brand tuning: Decagon supports tuning voice attributes (tone, pronunciation, speech speed) and injecting brand language, making the agent sound like your company rather than a generic bot.

Pricing

Decagon frames pricing around value. Their two main tiers are:

• Per-conversation pricing: You pay a flat fee per interaction (whether fully resolved or not). This is the more commonly chosen model among their customers.
• Per-resolution pricing: You only pay when the AI fully resolves a query without escalation. No cost for conversations that require human handoff.

Because Decagon is aimed at enterprise clients with large volumes, their base pricing is custom. In one public review, estimated ranges span $95,000 to $590,900+ per year, depending on complexity, volume, and integrations.

G2 Rating: 4.9/5 (18 reviews)

Review: "The biggest upside of using Decagon isn't simply the assumption of repetitive day-to-day tasks that would normally be done manually, but that Decagon allows us to evaluate data on a much deeper level."

Recommended for:

Organizations that demand high customization, transparency, and outcome-driven automation, especially in sectors like fintech, telecom, or SaaS with large support loads.

9. ElevenLabs

ElevenLabs is best known for its world-class text-to-speech and voice cloning tech, and more recently it’s expanded into conversational AI agents. Their platform can take user input (voice or text), ground it in your data, and produce natural spoken replies.

It’s not yet a full-blown telephony agent system, but it bridges content and voice interaction nicely, especially for brands already working in audio, narration, or voice experiences.

Advantages compared to Voiceflow

• Ultra-realistic voice quality: ElevenLabs specializes in voice synthesis that captures emotion, tone shifts, and natural inflection, the kind of nuance that’s much harder to achieve in generic voice agents.
• Voice cloning & custom voice creation: ElevenLabs lets you clone or design original voices from a few samples, so you’re not stuck with generic TTS voices.
• Fast, optimized speech generation: Their system is tuned for real-time responses, balancing speed and clarity so the voice doesn’t lag behind the conversation.
• Multi-platform deployment: ElevenLabs technology can be embedded in mobile apps to deliver high-quality voice experiences, in addition to websites and other smart devices.

Pricing

ElevenLabs uses a credit system. You get a bundle of credits (usable for TTS, agents, etc.), and if you exceed them, you buy more.

Example tiers (as of now):

• Free: 10,000 credits / month (≈10 minutes of high-quality TTS or 15 minutes of agent use)
• Starter: $5/month for 30,000 credits
• Creator / Pro / Business / Enterprise: stepping up to 100k, 500k, millions of credits with higher-quality audio, API priority, SLA, etc.

Because it’s usage-based, your total cost will depend heavily on how many agent minutes you use, how much audio you generate, and how premium the voices are.

Recommended for:

If your product or brand already has a voice or audio focus (podcasts, narration, gaming, or voice apps) and you want to layer in conversational agents, ElevenLabs is a powerful pick. It’s especially strong when you care deeply about sound quality, expressiveness, and voice branding. But if your priority is full telephony integration, call switching, deep voice workflows, or super predictable pricing, Voiceflow (or others) might still lead in those domains.

10. Botpress

Botpress is an open-source platform designed for developers who need complete control over their chatbot’s functionality. But unlike the other alternatives, Botpress only offers chatbots.

Key Features:

• Fully customizable workflows.
• Support for multi-channel deployment.
• Delivers accurate responses to user queries, ensuring precise and reliable information.
• A focus on modular design, enabling advanced integrations.

Ideal Use Cases:

• E-commerce: Enhancing customer experiences with chatbots that can process and respond to diverse user inputs.
• Internal Tools: Streamlining operations with internal bots.

Key Features:

• Highly customizable with Python-based development.
• Advanced natural language understanding (NLU), showcasing Rasa's AI capabilities for complex conversational tasks.
• Integration with third-party APIs and tools.

Ideal Use Cases:

• Healthcare: Patient-facing bots for medical inquiries.
• Finance: Personal assistants for account management and queries.

How to Choose the Best Platform for Your Needs

Selecting the right conversational AI tool depends on your specific requirements:

• Budget: Match the platform’s pricing with your financial constraints.
• Technical Skills: Opt for a user-friendly tool if your team lacks deep technical expertise.
• Project Scope: Define whether your needs lean toward simple or advanced workflows.
• Primary Use Cases: Identify platforms that cater to your specific goals, such as customer service or educational applications.

Make the Switch: Explore Retell AI Today

Choosing the right conversational AI platform is crucial for achieving your business or project goals. While Voiceflow excels in voice-first applications, alternatives like Retell AI, Botpress, and Rasa provide greater flexibility, advanced features, and competitive pricing.

If you’re ready to explore new possibilities, start a free trial of Retell AI today and discover how it can transform your approach to conversational AI.