Bland AI is an Infrastructure level voice ai platform built for developer and enterprise, prerequisite knowledge of tech should be must. The pricing $0.09/min seems great but there are a lot of hidden charges. On G2/Product avg. rating 3-3.5, users praise it for latency and realistic voice but also criticized for setup complexity and support.

Bland AI is compliant with GDPR, HIPAA, SOC 2 and PCI standards, but it is not self-hosted, which can still pose data privacy risks for users and enterprises. In contrast, open-source platforms are self-hosted, compliance friendly, No vendor lock in and follow stricter security guardrails.

Sure, Bland AI offers inbound/outbound calls, voice cloning, hyper-realistic voice agent and conversational pathways. Only to fulfill the entry level requirements of users in this new era users seek transparent pricing, OSS platform (Dograh AI, Pipecat, LiveKit), easy setup, friendly UI, testing feature (LoopTalk), self-hosted and no vendor lock-in.

dograh oss

A Quick Overview on Bland AI Alternatives

A quick overview of Bland AI and Open source conversational ai platform like Dograh AI, Pipecat, LiveKit and Vocode to help you choose a better voice AI platform.

What is Bland AI

Bland ai open source alternative ~ Dograh AI
Bland ai open source alternative ~ Dograh AI

Bland AI is an Enterprise grade voice ai platform suited for developers and large organizations, not for small teams and enterprises. Bland ai pricing includes Start, Build (299/Mo) and Scale plans (499/Mo). Bland AI support 20+ languages, 99.9% uptime, sentiment analysis and omni-channel (SMS/Call/Chat).

Voice agents allow user to :

  • Allows creation of full call flows with greetings, logic, objections and CTAs, acting like a scripted SDR or support agent.
  • Mid-call CRM/ERP pulls (Salesforce, HubSpot), calendar booking, and webhook triggers for workflows.
  • Custom TTS cloning, GPT-4o prompting, sentiment analysis, noise suppression, and memory for context-aware responses.
  • Compliance and security HIPAA, GDPR, SOC 2 and PCI Certified.

Migrate from Bland : Save upto 70% cost with Dograh Voice AI.

Dograh offers an open-source, no-code Voice AI builder it’s free to use, with no platform fees, friendly UI lets you create and deploy voice agents in minutes.

Book a Demo

What is Dograh AI 

Dograh AI open-source
Dograh AI open-source

Dograh AI voice ai agent github ensures privacy and low latency through a self-deployable, fully open-source platform with no vendor lock-in and complete transparency. Supporting 30+ languages, it gives developers full control over data, workflows, models and integrations.

Dograh AI allows user to :

  • 2 mins setup from zero to working voice bot in 2 mins.
  • No code agent builder, visual flow design with prebuilt template.
  • Real time preview and testing, custom prompts and responses.
  • Telephony integration to any phone system like Twilio or Vonage or bring your own SIP trunk.
  • Flexible deployment custom branding and styling option.
  • Langfuse observability offers real-time monitoring, TTFB and performance metrics, conversation transcripts, and LLM usage tracking.
  • Dograh AI is free to use as an open-source platform, with costs limited to the LLM, STT and TTS vendors you choose to run.
Dograh Slack Link

What is Pipecat 

Pipecat open source
Pipecat open source

Pipecat is an open-source Python framework for building real-time voice and multimodal conversational agents technical knowledge prerequisite hence suited for technical teams. It also simplifies orchestration of audio, video, AI services, transports and conversation pipelines.

Pipecat allows user to :

  • Voice-first, with built-in speech recognition, text-to-speech, and conversation handling.
  • Pluggable, with support for multiple AI services and tools.
  • Composable pipelines that let you build complex behaviors from modular components.
  • Real-time, ultra-low-latency interactions across multiple transports such as WebSockets and WebRTC.
  • With Pipecat users can build Voice Assistants, AI Companions, Multimodal Interfaces, Interactive Storytelling, Business Agents and Complex Dialog Systems.

What is LiveKit

LiveKit vs Vapi
LiveKit vs Vapi

LiveKit agent is an open source framework for building real-time voice and multimodal conversational agents. Flexible integration to STT/TTS, LLM and realtime API. Built-in task scheduling and dispatch APIs to connect users with agents. The platform is depend on technical framework and require technical development to go to production, hence more suited for deeply technical teams.

LiveKit allows user to :

  • Extensive WebRTC clients with open-source SDKs to build apps across all major platforms.
  • Seamless telephony integration with LiveKit, enabling agents to make and receive phone calls.
  • Built-in testing framework with judges to verify agent performance.
  • Semantic turn detection helps to reduce interruptions.
  • Exchange data with clients using RPCs (Remote Procedure Calls) and Data APIs.

What is Vocode

Vocode voice ai agent github
Vocode voice ai agent github

Vocode is an open-source library for building voice agents.. It offers conversation abstractions, endpointing and integrations with STT (Deepgram), LLMs (OpenAI), and TTS (ElevenLabs) across telephony, web, and Zoom.

Vocode allows user to :

  • Vocode services allow users to automate inbound/outbound calls via API.
  • Provides conversation abstractions for both streaming and turn-based interactions.
  • Supports conversation features such as endpointing and emotion tracking.
  • Integrates with leading speech-to-text and text-to-speech providers, making it easy to choose the best voices and transcription engines.
  • Supports telephony, web and Zoom for cross-platform voice agents.

Features of Bland Alternative Open Source

Below are the features of free, open-source Bland AI alternatives like Dograh AI, LiveKit, Pipecat, and Vocode to help you choose the best option.

Bland AI features

Bland ai open source ~ Dograh ai
Bland ai open source ~ Dograh ai
  • 20+ languages with natural accents for global operations.
  • Offers greater dialogue control, letting you define how the agent responds at specific points using prompts or fixed messages.
  • Executes webhooks at any stage of the conversation and supports speaking during or after webhook execution.
  • Knowledge base supports answering user questions.
  • Custom twilio integration.
  • The webhook node sends API requests to external services during live calls to fetch data, trigger workflows, or integrate with third-party systems.

Migrate from Bland : Save upto 70% cost with Dograh Voice AI.

Dograh offers an open-source, no-code Voice AI builder it’s free to use, with no platform fees, friendly UI lets you create and deploy voice agents in minutes.

Book a Demo

Dograh AI features

Best open source voice agents ~ Dograh AI
Best open source voice agents ~ Dograh AI
  • No-Code Builder : Easily create advanced AI voice agents with a drag-and-drop interface, no programming needed.
  • Natural Language Processing : Advanced NLP enables AI agents to understand context and intent with human-like accuracy.
  • Real-Time Analytics : Track conversations, measure performance and optimize agents with detailed insights.
  • 24/7 Availability : AI agents work nonstop, managing customer inquiries and generating leads anytime.
  • Multi-Language Support : Provides multi-language support, enabling agents to speak multiple languages and handle diverse accents seamlessly.
  • Voice customization : Allowing selection of different voice profiles or creation of custom voices to match brand personality.
  • Intelligent Routing : Automatically directing complex queries to human agents to ensure an optimal customer experience.
  • AI-powered insights : Analyze conversation data to understand customer needs and preferences.
  • Open Source Voice Agents Free : Dograh AI has no platform fees users only pay LLM, STT and TTS costs directly to vendors.
  • Data Privacy : Dograh AI is a self-hosted platform, ensuring full control over data and minimizing the risk of data breaches.
  • Community : Dograh AI 24/7 support slack community help you resolve queries.

Pipecat features

Livekit vs Pipecat open source voice ai agent
Livekit vs Pipecat open source voice ai agent
  • Enables ultra-low-latency interactions across multiple transports, such as WebSockets and WebRTC.
  • Supports integration of speech recognition, text-to-speech, and conversation management.
  • Provides end-to-end audio processing with VAD, noise suppression, channel interruption handling and semantic turn-taking for natural, fluid conversations.
  • Offers WebRTC/WebSocket support for browser and mobile integration, enabling scalable sessions without platform fees.
  • Allows mixing and matching services like Amazon Transcribe or Silero VAD for greater flexibility.
  • Discord community for help and support.

LiveKit features

Livekit Open Source github
Livekit Open Source github
  • LiveKit pricing includes Build ($0/Month), Ship ($50/Month), Scale ($500/Month) and Enterprise (Custom).
  • Provides a comprehensive ecosystem to combine the right STT, LLM, TTS, and real-time APIs to fit any use case.
  • No credit card needed, Includes 1,000 free agent session minutes per month.
  • LiveKit open source SDK ecosystem for building client applications.
  • Builtin test framework for analyzing the performance of voice agents.
  • With LiveKit users can build Starter agent, Outbound Caller, Text-only-agent, Multi user transcriber, Video avatars and Restaurants ordering/ Reservations.

Vocode features

Vocode github
Vocode github
  • With Vocode, users can build real-time, streaming LLM-powered conversations and deploy them across phone calls, Zoom meetings and more.
  • Users can also build personal assistants or voice-based apps such as voice-controlled chess.
  • Vocode offers simple abstractions and integrations, bringing everything you need into a single library.
  • Vocode manages streaming and turn-based conversations with support for endpointing and interruptions.
  • Integrations with all leading STT, TTS and LLM providers.
  • Discord community support to resolve queries.

Comparing Vapi AI, Vocode and Dograh AI features

Feature / Category

Dograh

Pipecat/LiveKit

Vapi/Bland/Retell

Architecture


Application-ready platform (agents live in 2 minutes)

Framework requiring custom builds

Proprietary SaaS platform

Pre-built Components

Variable extraction, sessions, state management, turn-taking, context stitching, VAD, EoT

Manual implementation required

Platform-managed (limited control)

Workflow Builder

Built-in AI workflow builder (vibe code your agent flow)

Code-only approach

Visual builder with static AI builder (proprietary)

Concurrency

OSS and hence no artificial  tier-based limits

Self-managed

Tier-based. Scaling requires lock-in contracts

AI-to-AI Testing

Built-in bot calling bot (beta)

Not included

Not available

Platform Scope

End-to-end: calls + integrations + analytics

Infrastructure components only

End-to-end managed service

Development Speed

No-code/low-code for rapid prototyping and Faster agents ops

Code-heavy, slower deployment. No built in agent ops

Fast but locked-in

LLM Options

Use either Dograh’s Fine-tuned voice AI models + BYOK

BYOK only

Varying & Limited model selection

VAD Control & Turn Detection

Built-in with full parameter control

Needs custom development

Limited configurability

Transport Latency

Optimized for production

Manual optimization required

Platform-managed

Hosting

DIY and fully control

Self-hosted only

Managed only

Scaling

Unlimited flexibility

Infrastructure-dependent

Tier-based pricing limits

Component Control

Full control, modular & swappable

Full control (custom build)

Limited customization

AI Model Integration

Pre-integrated major models, fully configurable

Manual time & effort required

Pre-integrated (limited config)

Transparency

Open-source

Open-source

Proprietary black box

Why choose one over the other ?

  • Transparent pricing with full cost control and no hidden charges like Bland AI.
  • Easy, reliable voice bot development.
  • Simple setup with no-code or low-code options.
  • Clear voice quality, low latency, and natural speech.
  • Seamless integrations and workflow automation.
  • Strong security, compliance, and flexible deployment options.
  • AI-powered insights and optimization with built-in testing tools (e.g., LoopTalk).

What are the customers saying ?

Dograh AI Reddit Reviews
Dograh AI Reddit Reviews

Top Open-Source Vapi Replacements: Featuring Dograh AI

Interested in leveraging Dograh for lead generation, cold calling or business automation ? Here’s a streamlined path to getting started, along with direct links to essential resources :

1. Dograh AI: Quick Start Demo

2. Run Docker Command

CTA Image

Download and Start Dograh first startup may take 2-3 mins to download all images

Docker

3. Quick Start Instructions

CTA Image

Describe use case

Create Workflow Dashboard
CTA Image

Auto-generated templates - test your bot and customize quickly

Dograh AI Dashboard

Step by step written guide to building and deploying your first voice AI Agent

  • Open Dashboard: Launch http://localhost:3000 on your browser.
  • Choose Call Type: Select Inbound or Outbound calling.
  • Name Your Bot: Use a short two-word name (e.g., Lead Qualification).
  • Describe Use Case: In 5–10 words (e.g., Screen insurance form submissions for purchase intent).
  • Launch: Your bot is ready! Open the bot and click Web Call to talk to it.

4. Community & Support

CTA Image

Join Slack Community and discuss issue with Dograh experts :

Join Slack Community

5. Additional Resource

Related Blog

FAQ’s 

1. Does Bland AI use open AI ?

No, Bland AI does not use OpenAI, Anthropic or any other models, completely relying on their own technology. It allows integration with third parties but it is difficult and has lots of errors.

2. What is the use case of Bland AI ?

Use cases of Bland AI are Inbound/Outbound sales calls, Healthcare & E-commerce, Customer service, Recruiting and Financial services.

3. How much does bland AI cost ?

Bland AI pricing includes Start (Trial minutes), Build ($299/Mo 2,000 calls), Scale ($499/Mo 5,000 calls) and Enterprise custom rates.

4. Is LiveKit free or paid ?

LiveKit offers both open source self-hosted free option and tier plan Build ($0/Mo Limited credits), Ship ($50/Mo), Scale ($500/Mo) and Enterprise custom plan.

5. Can I use voice AI for free ?

Yes, users can use voice AI for free by choosing open-source platforms like Dograh AI, LiveKit and Pipecat. Users only need to pay for the LLM, STT, and TTS services you use.

6. Best ai voice agent platform ?

Open-source voice agent platforms like Dograh AI, LiveKit and Pipecat are among the best options. They’re free to use and offer flexibility, control and low-latency performance.

7. Is cold calling with AI illegal ?

AI cold calling isn’t illegal by itself, compliance-ready, self-hosted platforms like Dograh AI help meet regulatory requirements.