Vapi Alternatives

A curated collection of the 5 best alternatives to Vapi.

Read the Vapi overview

How to choose a replacement

If you are replacing Vapi, decide whether you want a similar developer platform or a more managed builder. Both can produce a working phone agent, but responsibility for model choices, call logic, deployment, and monitoring can shift substantially.

Compare by

  • API flexibility and provider selection
  • Visual call-flow design and configuration ownership
  • Telephony integration, transfer, and escalation
  • Monitoring, self-hosting needs, and full call cost

Which alternative fits your workflow?

  • Retell AI: A platform for building and operating conversational voice agents.
  • Synthflow: Visual configuration for structured phone-agent workflows.
  • Bland AI: Business phone automation with AI agents.
  • ElevenLabs: An agent offering within a broader voice and audio platform.
  • Dograh: An open-source path for teams prepared to own more infrastructure.

What to test before switching

Port one representative call flow before deciding. Include a failed tool call, a transfer, and a caller who changes direction. Check how logs, prompts, and integrations move between platforms, and estimate the total cost of completed calls at your expected volume.

Sources (6)
  1. Vapi official site
  2. Retell AI official site
  3. Synthflow official site
  4. Bland AI official site
  5. ElevenLabs official site
  6. Dograh official site

Synthflow builds voice agents for phone workflows, combining a visual designer, telephony, testing, and call monitoring.

Screenshot of Synthflow website

Synthflow is a voice AI platform for enterprises automating phone conversations. Teams design call workflows, connect business systems, test agents, and deploy them through supported telephony arrangements. Use cases include customer service, reception, order enquiries, and appointment booking.

Key Highlights

  • Visual Flow Designer for call logic
  • API-connected workflows and modular subflows
  • Native telephony and supported SIP connections
  • Simulated call evaluation in the Test Center
  • Monitoring and quality analysis after launch

What Makes It Different

Synthflow organizes deployment around Build, Evaluate, Launch, and Learn, its BELL framework. The platform combines agent design with telephony and testing. This gives teams a workflow for evaluating changes before rollout and reviewing actual conversations afterward.

Features & Capabilities

The visual builder lets teams define steps and connect API actions. Subflows can handle separate tasks within a larger conversation. CRM, calendar, webhook, and knowledge-source integrations support workflows that need account information or an appointment action.

Enterprise telephony can use Synthflow Native Telephony, SIP trunking, or other approved arrangements. Call routing, concurrency, human handoffs, and fallback behavior are part of deployment planning. Monitoring exposes calls and integration activity, while Auto-QA supports continuing review of live conversations.

User Ratings and Testimonials

Synthflow presents customer call examples and a G2 rating on its website. Evaluate voice quality on representative calls rather than assuming an example covers every accent or environment. Test interruptions, background noise, incorrect account details, failed actions, and transfers to staff. Include those failure paths in the acceptance criteria for a pilot.

Pricing & Value

  • Enterprise: contracts start at $30,000 annually.

Final pricing depends on call volume, concurrency, telephony setup, integrations, security requirements, and launch support. Support terms and service levels are scoped in the contract. Ask which call costs and implementation services are included before comparing the starting price with usage-based alternatives.

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Looking for alternatives to other popular tools? Check out other posts in the alternatives series and flowtools.co, a directory of best AI tools with filters for tags and categories for easy browsing and discovery.

An open-source voice AI platform for developers building self-hosted call agents with visual workflows, APIs, and BYO models.

Screenshot of Dograh website

Dograh is an open-source voice AI platform for developers who want to build and operate phone agents on their own infrastructure. Its visual workflow builder connects conversation logic, models, tools, and telephony without hiding the underlying stack. Teams can self-host the BSD-2-Clause codebase or use Dograh's managed cloud.

Key Highlights

  • Visual workflow builder for inbound and outbound voice agents
  • Telephony integrations with human handoff and call transfer
  • QA nodes, knowledge bases, tool calling, and webhooks
  • REST API plus Node and Python SDKs
  • MCP server for building and editing agents from coding tools
  • Docker deployment with local or bring-your-own models

What Makes It Different

Dograh is positioned as a self-hosted alternative to Vapi and Retell AI. Unlike a closed hosted platform, it lets teams inspect and fork the code, deploy inside their own environment, and choose the speech-to-text, language, text-to-speech, and telephony providers in each workflow.

The clearest comparison is Dograh vs Vapi: both support programmable voice agents, but Dograh puts open-source deployment, model choice, and infrastructure control at the center. It also supports speech-to-speech pipelines when teams want to avoid the usual transcription, language model, and speech synthesis cascade.

Features & Capabilities

Developers can map call flows in the web UI, connect inbound numbers, launch outbound calls, and route conversations across agent, tool, QA, knowledge base, webhook, and end-call steps. Supported telephony setups can transfer a live call to a person when automation should hand off.

The REST API and Node and Python SDKs support programmatic agent creation and outbound calling. Dograh's MCP server lets compatible coding assistants inspect agents, retrieve node schemas, search documentation, and save workflow edits. For deployment, Docker Compose can run the API, UI, and supporting services locally or on a server, with bring-your-own cloud models or models hosted inside your own perimeter.

User Ratings and Testimonials

Dograh does not publish an aggregate product rating. Self-hosting gives teams ownership of data and infrastructure, but they also manage deployment, scaling, provider keys, and telephony configuration. Local speech-to-text and text-to-speech support is production-ready, while local language model swapping is beta.

Pricing & Value

  • Open Source: Free forever, with the full self-hosted platform and no usage limits
  • Pay as you go: $0.01 per minute platform fee, plus model and provider usage, with 10 concurrent calls included
  • Custom Volume: Custom pricing for committed monthly volume, discounts, and priority support
  • Enterprise: Custom pricing for private cloud or on-premises deployment, SSO, audit logs, compliance support, and custom SLAs

Self-hosting is the strongest value for teams that can run the stack, while managed plans trade infrastructure work for usage-based billing and support.

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Bland AI helps regulated teams build, deploy, and monitor AI phone agents for production calls.

Screenshot of Bland AI website

Bland AI is a voice AI platform for building, testing, and monitoring phone agents. It serves teams running customer conversations, including regulated operations. Developers can build pathways and integrations, while eligible Enterprise agreements add deployment, support, and compliance controls.

Key Highlights

  • Phone agents with conversational pathways
  • Scenario testing and live call monitoring
  • Telephony, CRM, and scheduling integrations
  • Plan-specific call concurrency and daily limits
  • Enterprise BAA, SSO, and deployment options

What Makes It Different

Bland packages the language model, speech recognition, and speech synthesis into the voice talk-time rate. This does not include every cost in an implementation: transfers, carriers, outbound dialing, and other interaction types have separate billing rules. Plan eligibility also affects advanced features.

Features & Capabilities

Configure an agent, its pathways, voice, and integrations. Test representative scenarios, including incomplete information, transfers, and failed calls. Inspect live call outcomes and revise the flow before increasing volume.

Enterprise agreements can add data residency, on-premises or VPC deployment, and forward-deployed engineering support. BAA access is an Enterprise feature. HIPAA-eligible handling requires a signed BAA; encryption and security controls do not by themselves establish compliance for every workflow.

User Ratings and Testimonials

Bland features MyPlanAdvocate as a selected customer example. Evaluate response quality, handoffs, error recovery, and the call costs in your own workflow. Check concurrency and daily caps before planning a high-volume program.

Pricing & Value

Start has no platform fee, two starting credits, an inbound number, $0.14/minute talk time, and $0.05/transfer minute. It allows 10 concurrent calls and 100 calls/day. Build costs $299/month plus $0.12/minute talk time and $0.04/transfer minute, with 50 concurrent calls and 2,000 calls/day. Enterprise uses custom terms.

Carrier costs are separate. BYOT customers do not pay Bland transfer fees. Bland-provided outbound dialing has a $0.015 minimum per attempt, including failed calls. Norm is billed separately using tokens. Check the selected model, add-on, and interaction terms alongside the voice rate.

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Retell AI is a voice agent platform for teams automating inbound and outbound call operations.

Screenshot of Retell AI website

Retell AI is an AI voice agent platform for inbound and outbound call operations. Teams use it to build, deploy, test, and monitor agents that connect to business systems through functions, telephony, and APIs.

Key Highlights

  • LLM-based voice agents for natural, multi-turn calls
  • Turn-taking and voice orchestration; Retell advertises about 600 ms latency
  • Drag-and-drop flows with guardrails, simulation testing, and QA
  • Function calling, streaming RAG, SIP trunking, branded caller ID, verified numbers, analytics, webhooks, and API access

What Makes It Different

Retell AI is a production voice stack, not a generic chatbot builder. Its site contrasts it with IVR and IVA systems: instead of touch-tone menus or fixed intent maps, its voice agents use LLMs for multi-turn conversations, edge cases, and outbound calls. The orchestration layer lets agents complete appointments, payments, transfers, or CRM updates during a call.

Features & Capabilities

Teams can start from templates or configure call flows inside Retell AI's agentic framework. Demo use cases include receptionist, appointment setter, lead qualification, customer service, debt collection, and survey agents. Before launch, teams can run simulations, then review calls through analytics, transcripts, dashboards, and QA.

Agents can use custom functions, pull answers from a knowledge base, and work across voice call, chat, SMS, and API channels. Listed integrations include HubSpot, Twilio, Salesforce, Zapier, Avaya, Genesys, Five9, Amazon Connect, Telnyx, Make, and Cal.com.

User Ratings and Testimonials

Retell AI does not publish a third-party average rating. It includes customer quotes from Pine Park Health, SWTCH, and Medical Data Systems, with reported results around scheduling NPS, EV support costs, inbound call handling, transfer rate, and monthly collections.

The main watchout is cost predictability. Per-minute cost changes by LLM, text-to-speech provider, telephony, add-ons, and concurrency, while custom SSO, custom MSA/DPA terms, and 24/7 dedicated portal support sit in the Enterprise Plan.

Pricing & Value

  • Pay as you go: starts at $0 with $10 in free credits, then metered usage. Retell advertises headline voice rates of $0.07-$0.31/min, but selected models and add-ons can exceed this range. Phone numbers and extra concurrency can carry monthly charges. AI Chat Agents advertise $0.002+/message. It includes platform access, templates, analytics, transcripts, simulation testing, webhooks, API access, 20 free concurrent calls, and email support.
  • Enterprise Plan: custom pricing for AI Voice Agents and AI Chat Agents, with volume pricing, custom MSA/DPA terms, role-based access control, a dedicated stable server available as a paid add-on, custom SSO, higher concurrency, and 24/7 support with a dedicated portal.

Retell AI is strongest for teams that want usage-based voice automation with production telephony, testing, analytics, and enterprise options.

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Generate speech and voiceovers with AI voices, cloning tools, and APIs, using credits shared across products.

Screenshot of ElevenLabs website

ElevenLabs is an AI-driven text-to-speech (TTS) and voice cloning platform. It creates natural-sounding audio in many languages.

It serves content creators, developers, and businesses that need quality voiceovers. This includes videos, podcasts, audiobooks, and more.

Key Highlights

  • Realistic Voices: Generates voices that are highly natural and emotionally expressive.
  • Voice Cloning: Instant Voice Cloning requires permission to use the voice. Professional Voice Cloning is limited to your own voice and requires verification.
  • Multilingual Support: Supports a wide range of languages and accents.
  • Easy-to-Use API: Integrate ElevenLabs' voice generation capabilities into your own applications.

What Makes It Different

ElevenLabs stands out for the exceptional quality and realism of its AI-generated voices. ElevenLabs' voices stand out from other TTS tools. They sound natural, not robotic. They capture the nuances of human speech, like intonation, pacing, and emotion. The platform's voice cloning tech makes it easy to create realistic and unique voiceovers.

Features & Capabilities

ElevenLabs offers a range of features for creating and customizing voiceovers. You can choose from a library of pre-made voices or clone your own. The platform allows you to adjust the voice's stability, clarity, and style to match your needs. It also offers a strong API. This helps developers add voice generation to their apps.

User Ratings and Testimonials

Evaluate voice quality with scripts containing your names, abbreviations, and pronunciation needs. Compare model credit consumption and review generated audio before delivery. A voice that suits one type of narration may not suit another.

Pricing & Value

ElevenLabs offers a free plan with 10,000 monthly credits and feature limits. Starter costs $6/month at the regular monthly rate; introductory promotions have separate terms. They provide more credits, voice cloning, and API access.

Heavy users may care about pricing. But, the quality of voiceovers adds great value for many uses.

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Curated by Michał Śnieżyński. Website may contain affiliate links.