Your Voice Notes Are Being Sent to Apple. Ours Aren't.
You're already talking to AI. Whether it's Claude, ChatGPT, or Gemini — you're asking it questions, giving it context, working through problems. And increasingly, you're doing it by voice. It's faster than typing. It's more natural. It's how most people think best.
But here's what's actually happening when you do that: your voice — the actual recording of you speaking — gets sent to a server before it's even transcribed. Apple processes it. Google processes it. The AI provider processes it. Your voice ends up on multiple servers before you even see the response.
That's not a privacy trade-off you agreed to. It's one you didn't know you were making.
Wysor's voice chat fixes this. Transcription runs entirely on your device. Only the text reaches the AI — and even that is protected by our zero-retention data agreements.
Your voice is more sensitive than your text
When you type a message to an AI, you're sharing text. That's already worth protecting — and we do. But when you use voice, you're sharing something more. Your actual voice. The tone, the cadence, the hesitations. A biometric identifier that's uniquely yours.
Most people don't think about this because voice input feels like typing with your mouth. But the data is fundamentally different. Text is what you said. Audio is who you are.
Every time you use Siri, Google Assistant, or the voice feature in ChatGPT's app, that audio gets uploaded and processed on someone else's servers. Google retains voice data for up to 18 months by default. Apple's Siri recordings were being reviewed by human contractors before it became a PR issue.
Think about what you're actually saying out loud to AI. Business decisions. Client names. Competitive strategy. Numbers you wouldn't put in an email. You're handing a recording of yourself saying those things to a server you don't control — and that shouldn't be normal.
How Wysor handles voice differently
When you tap the microphone in Wysor and start speaking, here's what happens: your phone's neural engine — the dedicated ML hardware built into every modern smartphone — runs a speech recognition model locally. Your voice is converted to text on the device in your hand. The audio never leaves your phone.
Then, the transcribed text is sent to whichever AI model you're chatting with — Claude, GPT-5, Gemini, whatever you've chosen — under our data processing agreements. Zero retention. No training. The provider processes your message and discards it.
The result is that no one ever receives a recording of your voice. Not us. Not the AI provider. Not anyone. The only thing that travels over the network is text — and even that is protected.
This also means it works offline. No Wi-Fi, no cell signal, no problem. The transcription doesn't depend on an internet connection because there's no server involved. You could be on a plane and voice chat still works. The text just queues until you're back online.
Your phone has been able to do this for years
Apple's Neural Engine, Qualcomm's AI accelerators — modern phones ship with dedicated hardware for running machine learning models. Speech recognition is one of the things this hardware handles best. On-device transcription isn't a breakthrough. It's an engineering choice that most apps haven't made yet.
We made it. We optimized a speech model to run locally on your phone so that voice chat works without sending audio anywhere. It works offline, it's fast, and your voice stays yours.
Privacy as architecture, not policy
Every app has a privacy policy. Every one says they "take your privacy seriously." And then they upload your audio to their servers, because that's how their product is built.
We didn't want to write a better privacy policy. We wanted to build voice chat where the privacy policy barely matters — because the sensitive data never reaches anyone but you.
There's no retention period to think about, no opt-out to remember, no setting to toggle. Your voice data simply doesn't exist outside your phone. That's not a policy — it's how the system is built.
The fastest way to chat with AI — without giving up your voice
Voice input isn't just more private in Wysor. It's faster. Because transcription happens locally, there's no network round-trip for the speech-to-text step. You speak, text appears, and it's sent to the AI. One fewer server in the chain means one fewer source of latency.
It's the most natural way to use AI on your phone. You think out loud, the words appear as text, and you're in a conversation with the most capable models available. No typing, no keyboard, no audio files sitting on a server somewhere.
Speak it. Send it. That's it.
Keep reading
- Complete Privacy: Your Data Never Leaves Your Control — Voice transcription is just one part of our privacy-first architecture.
- We Built the AI Workspace That Should Have Existed 3 Years Ago — See how private voice fits into the full AI workspace with email, agents, and more.
