In 2025, developers working on voice AI face an important decision. Should they combine specialised tools like ElevenLabs, known for producing voices that sound human and emotionally expressive, or should they choose a no code platform such as Synthflow.ai that focuses on quick deployment and workflow automation?
Both approaches offer unique advantages, but neither can fully address the most difficult challenge: ensuring smooth, real-time audio connections across global telephone networks. This article compares the two platforms and explains how FreJun delivers the missing layer that makes them production-ready.
Table of contents
- The Developer’s Crossroads: Component or Platform
- The Hidden Challenge in Voice AI
- ElevenLabs.io: Precision and Expressiveness
- Synthflow.ai: Automation and Simplicity
- Head to Head: Elevenlabs.io Vs Synthflow.ai
- FreJun: The Essential Transport Layer
- DIY Stack vs FreJun
- Building a Modern Voice Agent
- Final Thoughts
- Frequently Asked Questions (FAQs)
The Developer’s Crossroads: Component or Platform
Businesses today expect voice agents that sound natural and can handle complex interactions. Developers must choose between two main philosophies: the component based model that provides fine control and the no code platform that prioritises speed. This choice is clearly represented in the Elevenlabs.io Vs Synthflow.ai debate.
ElevenLabs is a component driven tool designed for developers who want maximum control over voice synthesis and expressive detail. Synthflow.ai, on the other hand, is a complete platform that lets companies design and automate calls quickly with minimal technical effort.
The Hidden Challenge in Voice AI
Many teams underestimate how complex real time audio streaming can be. It is easy to focus on an advanced TTS engine or a convenient workflow builder, but the true bottleneck is the infrastructure that connects users and AI over a phone line.
Building a do it yourself system with separate services for telephony, transcription, logic, and speech synthesis often leads to:
- Latency that breaks the illusion of conversation
- Audio issues such as jitter and packet loss that confuse transcription models
- High maintenance overhead as developers are forced to manage carriers, call routing, and uptime
This shows why even the best AI needs a reliable backbone to carry the conversation.
Also Read: How to Build a Voice Bot Using Kimi K2 for Customer Support?
ElevenLabs.io: Precision and Expressiveness
ElevenLabs has built its reputation on producing voices that sound authentic and emotionally nuanced. Its latest models deliver speech in more than seventy languages and give developers fine-grained control through APIs and SDKs. Expressive tags allow customisation of tone, emotion, and delivery, which makes it an excellent choice for projects where audio quality is a central feature.
Use cases include branded virtual assistants, audiobook narration, media dubbing, and any application where the sound of the voice itself is the product. ElevenLabs is perfect for developers who want deep control but it is not designed to manage full call workflows or telephony scale.
Synthflow.ai: Automation and Simplicity
Synthflow.ai takes a very different approach. It is a no code platform that allows businesses to launch AI powered call agents in weeks rather than months. The focus here is workflow automation. Synthflow integrates with over two hundred business tools including CRMs and task managers. Features such as voicemail detection, SMS follow ups, and sentiment analysis make it a ready-to-use solution for sales and support teams.
It is best suited for companies that need rapid automation for inbound and outbound calls such as lead qualification, scheduling, or customer service. While the voice quality depends on its underlying TTS engine, the main advantage of Synthflow is speed and simplicity rather than expressive realism.
Head to Head: Elevenlabs.io Vs Synthflow.ai

When comparing Elevenlabs.io Vs Synthflow.ai, the choice is less about which is better overall and more about which fits your project.
- Voice quality and realism: ElevenLabs is unmatched in expressiveness.
- Developer control versus deployment speed: ElevenLabs offers rich APIs for flexibility while Synthflow delivers rapid results with no coding.
- Integrations: Synthflow wins with its extensive ecosystem of business tools while ElevenLabs focuses more narrowly on audio technology.
Both are powerful, but neither addresses the telephony infrastructure gap.
Also Read: Virtual PBX Phone Systems Solutions for Professional Communication in Businesses in Belgium
FreJun: The Essential Transport Layer
Whether you select ElevenLabs for realism or Synthflow for automation, both need a robust voice backbone to succeed in production. This is where FreJun comes in. FreJun is a voice transport layer that manages global telephony, ensuring low latency, high reliability, and crystal clear audio.
For ElevenLabs users, FreJun provides seamless streaming of calls so that the voice output retains its expressiveness without lag. For Synthflow users, FreJun ensures every automated call connects with stability and without dropped audio. In both cases, FreJun handles the infrastructure so developers can focus on building intelligent agents rather than debugging carrier issues.
DIY Stack vs FreJun
- DIY requires managing multiple vendors, separate APIs, and scaling challenges.
- FreJun offers a unified API, enterprise grade reliability, and support from specialists who understand voice infrastructure.
This makes FreJun the foundation for any production ready voice AI system.
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Building a Modern Voice Agent

A step-by-step approach in 2025 looks like this:
- Choose your application layer: either the precision of ElevenLabs or the automation of Synthflow.
- Add supporting AI models such as an STT service and an LLM for reasoning.
- Connect everything to FreJun as the transport layer to handle real time calls.
- Orchestrate your workflows and responses while FreJun ensures smooth audio delivery.
Final Thoughts
The comparison of Elevenlabs.io Vs Synthflow.ai shows two different approaches. ElevenLabs is for developers who want expressive voices with full control. Synthflow is for businesses that want quick and efficient automation. Both are valuable, but neither can succeed alone in a real-world telephony environment.
The real strategic choice is to pair either tool with a specialised infrastructure layer. With FreJun managing the transport, developers can focus on creating engaging and intelligent AI while leaving the complex world of telephony to the experts.
The Elevenlabs.io Vs Synthflow.ai discussion is important, but the bigger picture is about building on the right foundation. Let FreJun handle the voice backbone so your AI can perform at its best.
Get Started with FreJun AI Today!
Also Read: How to Build a Voice Bot Using Llama 3 for Customer Support?
Frequently Asked Questions (FAQs)
Superbryn.com focuses on real-time voice AI with ultra-low latency, making it ideal for developers building interactive applications. Assemblyai.com, on the other hand, offers enterprise-level transcription and speech-to-text APIs with strong scalability and pre-built AI features.
Superbryn.com is generally more affordable for startups and smaller teams, thanks to flexible pricing and developer-friendly plans. Assemblyai.com may be costlier but provides enterprise-grade reliability and advanced customization for large-scale projects.
Yes, many developers combine both. For example, you can use Superbryn.com for real-time conversations and Assemblyai.com for high-accuracy transcription or post-call analysis. Integration depends on your use case and budget.
Both platforms have strong documentation, but Assemblyai.com is known for its extensive guides, SDKs, and enterprise-level support. Superbryn.com emphasizes fast onboarding, active community forums, and lightweight APIs that suit independent developers and small teams.