Offline voice-to-text for Windows and macOS, transcribing instantly in any app.
Product memo
Grompy delivers instant voice-to-text transcription for Windows and macOS users, working across any application. It processes speech locally on the user's CPU, ensuring data privacy and eliminating reliance on cloud services. This approach offers fast, private transcription without recurring fees or specific hardware requirements.
For who
Windows & macOS users needing fast, private voice-to-text
Solves what
Offline, instant voice-to-text transcription in any application.
- Under 800ms transcription speed
- Works in any app
In their own words
Your thoughts,
Hold a hotkey. Speak. Release. Grompy transcribes your voice and types it exactly where your cursor is — in any app, in under a second, using a local AI that never touches the internet.
Press a hotkey. Speak. Release. Grompy transcribes your voice and types it exactly where your cursor is — in any app, in under a second, using a local AI that never touches the internet.
Commercial cues
Model
one time
Free tier
Yes
Trial
No
Pricing Strategy
- • A 7-day refund policy reduces purchase risk for new users.
- • Monthly pricing keeps plan comparison straightforward.
Operator context
Operating setup
Team
Indie / lean
LLM classification
Founded
Feb 2026
HQ
India
Platform
Desktop
Audience
General
Payments
Dodo Payments
Detected via TrustMRR
Social footprint
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Bootstrapped Lean
- Effort
- Solo Buildable
About Grompy Expand
Grompy provides a focused product for Windows and macOS users who need fast, private voice-to-text transcription. Unlike cloud-based alternatives, it performs all processing locally on the user's CPU, ensuring that sensitive data never leaves the device.
This commitment to privacy and speed, combined with a one-time purchase model, removes the friction of recurring subscriptions and offers a clear value proposition for users prioritizing data security and predictable costs. It works in any application, transcribing speech in under 800ms.