HyperVoice's answer

Most dictation tools force a choice: cloud-based (fast and accurate, but your audio is uploaded) or local (private, but slow and clunky). HyperVoice is the first Windows-first dictation app to run Whisper AI 100% on-device with full Vulkan GPU acceleration — so it's as fast as cloud dictation while keeping every word of your audio on your machine. Combine that with hotkey-anywhere paste (works in any Windows app, no per-app integrations), eleven model sizes you can tune to your hardware, and optional BYOK post-processing (your text goes directly to your OpenAI or Anthropic API key, never through our servers), and you have privacy-by-default without compromising speed or workflow.

HyperVoice's answer

• vs Wispr Flow & Aqua Voice — Both stream your audio to the cloud. HyperVoice never does. If you work with sensitive content (legal, medical, internal company data, code), that's the difference between "comfortable" and "compliant."
• vs Dragon NaturallySpeaking — Dragon is $200–700 with mandatory voice profile training. HyperVoice is a $49.99 lifetime license, no training required, and Whisper-based recognition is more accurate than Dragon on most modern accents and casual speech.
• vs Superwhisper — Superwhisper is Mac-only. HyperVoice is the equivalent for Windows users (with a free tier Superwhisper doesn't have).
• vs Windows Speech Recognition — Built-in Windows dictation uses a decades-old engine. Whisper is dramatically more accurate, especially with technical vocabulary, accents, and noisy environments.
• For everyone — Free tier of 500 words/day with no credit card, no expiry. Try before you decide.

HyperVoice's answer

Knowledge workers on Windows who type all day and care about privacy: developers dictating code comments, commit messages, and chat to AI coding agents (Cursor, Claude Code, Copilot); writers and content creators turning raw thoughts into drafts; customer support and success staff replying to tickets; project managers writing status updates and bug reports; students dictating notes and essays; and professionals in regulated industries (legal, medical, finance) where uploading audio to a third-party cloud isn't an option.

Secondary audiences: power users who'd rather bring their own LLM API keys than pay double (subscription + per-token cost); people with accessibility needs who can't type comfortably for long periods; and anyone tired of monthly cloud-dictation subscriptions when a $49.99 one-time purchase does the same job better.

HyperVoice's answer

• Tauri, Rust, Whisper, Vulkan, React — high-level stack.
• Cloudflare / Firebase / Lemon Squeezy at the category level
• Model lineup (Tiny → Large-v3) — that's the standard public Whisper family.

HyperVoice's answer

HyperVoice is currently in early-access beta with a growing community of individual users. We don't disclose specific customers, and as a privacy-first product we don't ask users what they're working on or who they work for.

That said, the early user base skews toward independent developers, technical writers, and professionals in regulated industries (legal, medical, security research) where the privacy guarantee is the deciding factor over alternatives.

HyperVoice's answer

HyperVoice started from a single frustration: typing is just so slow... Painfully slow...

I then downloaded some dictation tools and privacy was just a black box. Cloud dictation services upload your audio to servers, log it, and often retain it — fine for casual users, unacceptable for anyone touching client data, source code, medical records, or financial information. With the explosive growth of AI, I also do not want my voice online and in the cloud for what may happen in the future.

I had tried voice to text before but over the years, local Whisper models had quietly become accurate enough — and modern Vulkan-supported GPUs powerful enough — that a properly-engineered on-device dictation app could match the speed of cloud tools while keeping every byte of audio on your machine.