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

MCP or Function Calling: Everything You Need To Know Cover

AI

May 29, 20254 min read

MCP or Function Calling: Everything You Need To Know

Are you tired of your AI assistant giving you outdated information or saying "I can't access that" when you need real-time data? You've tried asking AI about your business data it doesn't know. You want it to check your emails or calendar it can't. You need it to look up information from your company systems which is impossible. Here's the problem: Most AI tools are disconnected from everything else you use. It's like having a really smart assistant who's locked in a separate room with no pho

Why the Instructor Beats OpenAI for Structured JSON Output Cover

AI

May 27, 202510 min read

Why the Instructor Beats OpenAI for Structured JSON Output

Integrating LLMs in our code and workflow is surely exciting, but it can get tiresome quickly as we need our outputs to follow proper structure/schema, and need to validate them along the way. This is where Instructor shines, let’s go through it one step at a time, see how it performs compared to OpenAI and much more. First, let’s understand what Structured Output means! Structured Output means getting output in a particular schema, widely used as JSON. Strictly adhering to JSON output enables

What are Temperature, Top_p, and Top_k in AI? Cover

AI

May 27, 20256 min read

What are Temperature, Top_p, and Top_k in AI?

LLMs work their wonders by crafting text that feels just like human writing, predicting what word comes next in a perfect flow. The real charm happens behind the curtain, where it's all about the game of probabilities and tokens!  Let’s control this magic by fine-tuning specific parameters: temperature, top_p (nucleus sampling), and top_k sampling, making us the magicians of this magic. It's going to be an exciting exploration! What is Temperature in AI?  Range: 0 to 2 (in practice) Tempera