Facebook iconDifference Between LiveKit vs PipeCat Voice AI Platforms
Blogs/AI

Difference Between LiveKit vs PipeCat Voice AI Platforms

Apr 7, 20253 Min Read
Written by Kiruthika
Difference Between LiveKit vs PipeCat Voice AI Platforms Hero

Selecting the appropriate voice agent framework is crucial for developers and businesses aiming to create effective voice applications. The right framework can significantly impact the performance, scalability, and user experience of the application. Factors such as ease of integration, support for various functionalities, and community support should be considered when making this choice.

This blog will provide an in-depth comparison of two popular voice agent frameworks: LiveKit and PipeCat. We will explore their features, advantages, and disadvantages, followed by a feature comparison, pricing plans, and customer reviews to help you make an informed decision. 

What is LiveKit?

LiveKit is an open-source framework designed for real-time communication, focusing on audio and video processing. Built with scalability in mind, it allows developers to create custom communication agents that can handle various use cases, from video conferencing to interactive voice applications. LiveKit integrates seamlessly with WebRTC, ensuring low-latency interactions.

PROSCONS

Scalability and Performance

Technical Expertise Required

Open-Source Flexibility

Self-Hosting Complexity

Low Latency

Limited Built-in Features

Rich Documentation

Complex Setup

Scalability and Performance

CONS

Technical Expertise Required

1 of 4

What is Pipecat?

Pipecat is an open-source Python framework for building voice and multimodal conversational agents. It manages the complex orchestration of AI services, network transport, audio processing, and multimodal interactions, allowing developers to focus on creating engaging experiences. 

PROSCONS

Open-Source Flexibility

Complex Setup

Multimodal Integration

Resource Intensive

Real-Time Processing

Performance Variability 

Community Support

-

Open-Source Flexibility

CONS

Complex Setup

1 of 4

Feature Comparison of LiveKit and PipeCat

FeatureLiveKitPipeCat

Real-time Communication

Yes

Yes

Scalability

High

Moderate

Customizable Agents

Yes 

Yes 

Voice Activity Detection (VAD)

Yes

Yes

Integration with STT/TTS

Requires additional setup

Built-in support

Community Support

Strong

Active

Real-time Communication

LiveKit

Yes

PipeCat

Yes

1 of 6

Summary of Features

Why Choose LiveKit Over PipeCat

LiveKit is ideal for developers seeking a robust, high-performance framework for real-time communication. Its open-source nature and strong community support make it a great choice for scalable applications. Additionally, its low-latency capabilities are crucial for applications requiring immediate feedback, such as video conferencing.

Partner with Us for Success

Experience seamless collaboration and exceptional results.

Why Choose PipeCat Over LiveKit

PipeCat is better suited for developers looking for flexibility in building complex audio pipelines. Its user-friendly features and built-in integrations with leading STT and TTS services simplify the development process, making it an excellent choice for those new to voice application development.

Plans and Pricing of LiveKit vs PipeCat

Pricing Structure of LiveKit

LiveKit is open-source, meaning there are no licensing fees. However, costs may arise from hosting and infrastructure, depending on the scale of deployment.

Pricing Structure of PipeCat

PipeCat is also open-source and free to use. Similar to LiveKit, costs may be incurred based on the services and infrastructure used for deployment.

Comparison of Plans

FrameworkPricing ModelAdditional Costs

LiveKit

Open Source

Hosting, Infrastructure

PipeCat

Open Source

Hosting, Third-party Services

LiveKit

Pricing Model

Open Source

Additional Costs

Hosting, Infrastructure

1 of 2

Pricing and Plan Conclusion

Which Plan Offers Better Value for Money

Both LiveKit and PipeCat offer excellent value as open-source frameworks. The choice between them should be based on specific project requirements rather than cost, as both frameworks are free to use.

Considerations for Startups vs Established Businesses

Startups may prefer PipeCat for its ease of use and rapid development capabilities, while established businesses might lean towards LiveKit for its scalability and performance in high-demand environments.

Partner with Us for Success

Experience seamless collaboration and exceptional results.

Summary and Recommendation 

Both LiveKit and PipeCat are powerful frameworks for building voice agents, each with its strengths and weaknesses. LiveKit excels in performance and scalability, making it suitable for real-time applications, while PipeCat offers flexibility and ease of use for developers.

Customer Reviews of LiveKit vs PipeCat

User Experiences with LiveKit

Users praise LiveKit for its performance and scalability, particularly in applications requiring real-time communication. The community support and documentation are also frequently highlighted as valuable resources.

User Experiences with PipeCat

PipeCat users appreciate its flexibility and ease of use, especially for those new to voice application development. The built-in integrations with STT and TTS services are often mentioned as significant advantages.

Overall Satisfaction Ratings

Both frameworks receive positive feedback, with LiveKit being favoured for performance and PipeCat for user-friendliness. Ultimately, the choice depends on the specific needs of the project and the developer's familiarity with the frameworks.

For further details, you can explore the following resources:

Author-Kiruthika
Kiruthika

I'm an AI/ML engineer passionate about developing cutting-edge solutions. I specialize in machine learning techniques to solve complex problems and drive innovation through data-driven insights.

Phone

Next for you

Qdrant vs Milvus: Which Vector Database Should You Choose? Cover

AI

Jul 18, 20259 min read

Qdrant vs Milvus: Which Vector Database Should You Choose?

Which vector database should you choose for your AI-powered application, Qdrant or Milvus? As the need for high-dimensional data storage grows in modern AI use cases like semantic search, recommendation systems, and Retrieval-Augmented Generation (RAG), vector databases have become essential.  In this article, we compare Qdrant vs Milvus, two of the most popular vector databases, based on architecture, performance, and ideal use cases. You’ll get a practical breakdown of insertion speed, query

Voxtral-Mini 3B vs Whisper Large V3: Which One’s Faster? Cover

AI

Jul 18, 20254 min read

Voxtral-Mini 3B vs Whisper Large V3: Which One’s Faster?

Which speech-to-text model delivers faster and more accurate transcriptions Voxtral-Mini 3B or Whisper Large V3? We put Voxtral-Mini 3B and Whisper Large V3 head-to-head to find out which speech-to-text model performs better in real-world tasks. Using the same audio clips, we compared latency (speed) and word error rate (accuracy) to help you choose the right model for use cases like transcribing calls, meetings, or voice messages. As speech-to-text systems become smarter and more reliable, th

What is Google Gemini CLI & how to install and use it? Cover

AI

Jul 3, 20252 min read

What is Google Gemini CLI & how to install and use it?

Ever wish your terminal could help you debug, write code, or even run DevOps tasks, without switching tabs? Google’s new Gemini CLI might just do that. Launched in June 2025, Gemini CLI is an open-source command-line AI tool designed to act like your AI teammate, helping you write, debug, and understand code right from the command line. What is Gemini CLI? Gemini CLI is a smart AI assistant you can use directly in your terminal. It’s not just for chatting, it’s purpose-built for developers.