Low-latency processing
Audio pipelines that transform or analyse speech fast enough to sit inside a live call, not seconds behind it.
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·Voice AI · reference example
Real-time accent conversion — like Sanas
Sanas is real-time accent conversion for call-centre audio. It's a recognisable benchmark for a system class I build — here's what it does, and how I'd build yours.
Reference example — not my client. Sanas is an independent product I'm not affiliated with, shown as a benchmark for this kind of build.
Live preview of www.sanas.ai — their site, shown as reference.
01What a Sanas-class system does
The shape of the build
At its core, Sanas is real-time accent conversion for call-centre audio — the kind of system you reach for when you have low-latency speech processing. Here is how I'd build one for you.
Live moderation
Detect and act on what's said in real time — the moderation layer for voice chat and calls.
Speech synthesis & cloning
Text-to-speech and speech-to-speech tuned for quality where a robotic voice would break the experience.
Streaming architecture
Streaming, buffering and backpressure handled so latency stays predictable under load.
02More Voice AI examples
Other benchmarks in this class
Same system class, different products. Each opens a page like this one.
Want something like Sanas?
Tell me what it needs to do and where it's getting stuck. I'll tell you honestly whether I'm the right person and what it would take — no pitch deck, no discovery call to book a discovery call.