You're writing a design doc at 11pm. The architecture is forming as you speak, the async job queue, the retry logic, the edge cases you didn't realize until you started explaining it out loud. Then you hit it: "Your free trial is out of words. Upgrade to continue." Half your thought is gone.
The frustration isn't about finding a credit card. It's about the assumption baked into every free-tier voice tool: that dictation is a feature, not a workflow. For anyone writing long-form thinking, design docs, specifications, incident postmortems, code reviews, the bottleneck isn't your typing speed. It's the distance between your idea and the first draft.
The Word Cap as Business Model
Wispr Flow charges $14 a month with a word limit on free. Willow does the same. Superwhisper caps free usage to push upgrades. They all enforce the same pattern: make the free tier just generous enough to feel useful, then force upgrade when you hit real usage.
Here's the thing: they're not doing this because speech-to-text technology has a per-word cost. Modern Whisper models run locally on your device, no cloud infrastructure, no per-token billing, no variable cost beyond the CPU cycles your machine already has. The word cap exists because it's a conversion lever, not a technical necessity.
What Actually Changed in How You Write
The work of developers has shifted. Two years ago, you wrote code. Now, you write intent: the specification the model should understand, the edge case that matters, the constraint it should respect.
That's longer. That's more sustained. That's exactly the kind of thing voice shines at, explaining in narrative, catching gaps as you speak, letting the thought flow uninterrupted until it's complete.
Hitting a word cap mid-specification destroys that momentum. You finish the day with fragmented notes, wake up tomorrow needing to reconcile what you said in the first 1,800 words with what you couldn't finish. The cleanup takes 30 minutes.
The Code IP Problem No One Wants to Mention
You also care about where that voice goes. Cloud transcription means your code discussions, your architecture thinking, your incident postmortems all upload to someone else's servers. Some teams have policies against it. Most engineers just find it uncomfortable.
Local processing isn't paranoia, it's the expectation now. Cursor exists in this model. Claude Code has this assumption built in. Developers expect their tools to keep sensitive context on-device.
Local Whisper Without the Cap
Recitey runs Whisper directly on your Windows device. No cloud handoff, no word counter, no artificial ceiling. The only limit is your device's processing speed, which means you can voice an entire design doc, debug explanation, or specification without interruption.
The economics: transcription is free, always. Pro features, cloud-based polish and rewrite, are optional, for people who want them. This isn't a free trial counting down to an upgrade. It's the actual tool, uncapped, indefinitely.
The Real Choice
Wispr and Willow are right for people who use dictation occasionally, who wouldn't hit the cap anyway, who are comfortable uploading their voice to cloud infrastructure. That's a legitimate segment.
If you're explaining a complex system at midnight, if you're documenting code decisions to a teammate via voice memo, if you've built your workflow around uninterrupted dictation into Cursor or Linear or Slack, and if you have any concern about where that voice data goes, the economics and the architecture both point somewhere else.
The cap wasn't about technology. Neither is the choice to remove it.