Dictate anywhere.
Never leave your perimeter.
Turn speech into polished writing in every app. Local Mode for individual. Self-hosted cleanup LLM for Enterprises.
Zero third-party APIs. Ever.
FREE · NO ACCOUNT · 21 MB · OFFLINE-READY
WORKS IN EVERY APP
FEATURES
Everything you need. Nothing you shouldn't trust.
Enterprise-grade dictation that keeps privacy as an architecture decision - not a policy checkbox.
3× FASTER INPUT
Speak at 150 WPM.
Your mouth is 3× faster than your fingers. CursorTalk bridges the gap with real-time ASR and LLM cleanup.
GLOBAL HOTKEY
One shortcut. Every app.
Customizable. Works in native apps, browsers, terminals - anywhere text goes.
OFFLINE
Works on a plane.
Whisper runs locally. Cleanup syncs when back online.
HOW IT WORKS
Hotkey to polished text in under 2s.
Press hotkey & speak
LOCALHit ⌘⇧Space anywhere. Mic captures audio entirely on your machine.
Whisper transcribes locally
~0.9s · LOCALdistil-whisper-large-v3 runs via whisper.cpp. Audio stays in RAM - never written to disk, never uploaded.
~500 bytes sent to your VPC
TLS 1.3Only plain text. No audio, no voice biometrics. Sent over HTTPS to your org's own AWS endpoint.
Cleaned text pasted at cursor
~285ms · YOUR AWSFine-tuned Qwen 2.5 14B removes filler, fixes grammar, adds punctuation. Inserted directly where your cursor is.
PRIVACY BY ARCHITECTURE
Your voice stays yours. By design.
We engineered the pipeline so raw audio physically cannot leave the device. Not a policy. An architecture constraint.
DATA COMPARISON
→ OpenAI → Anthropic → Cerebras → Baseten
→ Your VPC only
less data on the wire
DOWNLOAD
Stop typing. Start talking.
Free for individuals. No account required. Works offline after first launch.
PRICING
Free to start. Sensible at scale.
No per-word billing. No API pass-through. You pay AWS; we hand you the rest.
FOREVER FREE
UP TO 50 SEATS
SELF-HOSTED · UNLIMITED
Frequently asked questions
No. Whisper runs locally via whisper.cpp. Only the plain-text transcript (~500 bytes) is sent over HTTPS and in the Enterprise plan, that server lives in your own AWS VPC.
Wispr sends raw audio to OpenAI, Anthropic, Cerebras, and Baseten. We send zero audio to zero third parties. Whisper runs on-device; the cleanup LLM runs on infrastructure you own.
Mac with Apple Silicon (M1+) or Intel with 8GB+ RAM. macOS 12 (Monterey) or later.
~1.3-2.0s end-to-end after you stop speaking. Cloud tools are faster (~0.7s) because they skip on-device ASR - but they send your audio to 4+ third parties.
Yes - the Enterprise plan includes a CloudFormation template, model weights, Docker image, and IaC. Deploy in ~10 minutes. You own it with zero vendor dependency.
Never. Transcripts are processed in RAM and discarded. Nothing logged, stored, or used for training under any plan.