On-device speech to text and voice AI
Switchboard gives developers an SDK to run high performance audio graphs locally on-device, along with free models for speech-to-text, text-to-speech, LLMs, and many additional audio processing nodes.
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Why on-device STT?
Cloud-free speech recognition that’s faster, cheaper, and fully under your control.
Own your margins
Stop paying per minute.
One-time device licensing — perpetual
Zero bandwidth or egress fees
Per device, install, or according to your use case
Instant, anywhere
No latency, no network dependency.
Shave off hundreds of milliseconds of latency
Works offline and in poor connectivity
Scales infinitely in any geography
Your data, your rules
Keep audio local and stay in control.
No third-party servers
Simplify compliance and security
Full model and UX ownership
Are you a developer?
This is an iOS example app that uses the Switchboard SDK. It shows you how to combine Whisper STT and Silero VAD into an on-device audio graph for the purpose of building a voice controlled user interface.
Other platforms
This example example shows you how to use the Switchboard SDK to implement a simple Whisper + Silero VAD audio graph that can be deployed on any platform.
If you need help figuring it out, just reach out.
Reduce costs and improve reliability
Cloud STT costs scale with every request. Switchboard doesn’t. With perpetual and per-device licenses you eliminate per-minute billing and network dependencies.
Key benefits
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Predictable margins with no surprise usage bills
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Perpetual licensing built for OEMs and integrators
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Edge-aligned performance in bandwidth-limited environments
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Zero downtime during connectivity loss or peak cloud load
More than just speech-to-text
Switchboard isn’t a single-purpose SDK — it’s a full on-device audio runtime designed for the next generation of intelligent products.
Build, combine, and scale advanced voice features. Use the same runtime to power:
• Voice changers and filters
• Text-to-speech and LLM integrations
• Real-time transcription and translation
• 50+ modular audio features
Compared to cloud APIs
Cloud STT | On-Device STT | |
|---|---|---|
Cost | Scales with usage | One-time per-device license |
Latency | Iterates on speech pipelines for accuracy, latency, and robustness | Instant local inference |
Privacy | Builds and tests custom DSP/ML models, audio effects, and signal chains | Fully private and offline |
Reliability | Maintains internal SDKs, tooling, or reusable audio frameworks | Works anywhere, anytime |
Control | Works in innovation labs to craft new audio-driven experiences | Full model and UX control |
Switchboard gives you enterprise-grade speech performance without dependency, downtime, or data exposure.
Why local speech processing matters
As AI moves on-device, control is everything.
Switchboard lets you deploy voice recognition that’s as private, fast, and scalable as the devices it runs on.
With Switchboard, you get
• A strategic edge in latency-sensitive applications
• Predictable cost and compliance control
• Instant scalability from one device to millions.
• A foundation for local-first voice AI experiences
Build on a complete edge audio platform
Your product doesn’t just gain speech recognition—it gains a full, extensible on-device audio runtime.
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Speech-to-text, text-to-speech, language models, voice changers, and more
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Deploy to any platform with simple OS-specific bindings
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Hybrid options including cloud-first models with on-device fallback
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Customization and support are available
Scale without limits
Deploy speech features anywhere — from prototype to mass production — with no cloud dependencies or performance bottlenecks.
Unlimited concurrent users — every device runs its own model
Zero centralized compute — no shared API or latency spikes
Consistent performance in offline and high-latency environments
Hybrid / cloud-connected options are available as needed for larger models.
Auto-failover solutions are available.
