It's 11 o'clock on a Thursday. You're three sections deep into a design doc explaining settlement logic to your team. The words are coming faster than your fingers ever could. Then the app stops accepting input: "You've hit your free tier word limit. Upgrade to continue." The thought scatters. By the time you switch to typing, the clarity is gone.
That moment, the moment the tool gives up before you do, is why most developers abandon voice transcription. Not because it doesn't work. Because the economics of cloud transcription demand a price gate, and that gate lands right in the middle of the thinking window.
The Moment You Realize Voice Changes How You Explain Code
Marcus is a backend engineer at a Series B fintech in Stockholm. His job isn't writing code faster, it's explaining what the code should be, over and over. Design docs at 11pm. PR comments justifying a decision. Slack threads investigating production bugs. Incident postmortems the morning after. The work's shifted. It's not "write more code in less time." It's "articulate your intent to Claude, Copilot, and your team in the exact language that makes the idea stick."
When Marcus tried voice tools, they worked for maybe 15 minutes. Then the word counter appeared. He switched to typing. Done. He was not even frustrated. He just understood: the tool wasn't built for this.
The Ceiling Hits Where Your Thinking Gets Real
Most voice transcription tools start you on a free tier with caps. Wispr Flow charges $14/month for unlimited. Willow costs $12/month. The free tier is typically 600 to 1000 words. It sounds like plenty until you're 847 words into explaining your system's retry strategy and the app politely stops listening.
The app isn't broken. The pricing model is. These tools monetize the thing you need most: an unbroken thinking window. They cap the free tier because they run your speech through cloud transcription and charge per request. Variable cost. So the free tier has to be rationed.
Recitey runs Whisper locally on your device. No cloud requests, no variable cost. The free tier is uncapped.
Local Whisper Means Your Code Never Leaves Your Machine
This isn't a philosophical preference. It's structural.
When you're dictating a design doc that includes credentials, schema details, or your auth system's shape, cloud transcription feels like sending IP to a stranger. Developers at most companies refuse it outright. Even if the SaaS provider swears they don't log your audio, the upload happens. The risk surface exists.
Whisper runs on your device. Locally. The audio stays in memory for exactly as long as it takes to transcribe it. No upload. No variable cost. No per-word metering. No word counter deciding when you're done thinking.
Marcus uses Cursor, not VS Code, specifically because Cursor's tab-complete reduces the rewrites he has to do by voice. He refuses cloud transcription entirely. Recitey is the only tool that lets him voice his 2000-word design doc at 11pm without hitting a wall or sending code samples to AWS.
What You Give Up (and Why It Doesn't Matter as Much as It Sounds)
Recitey's free tier handles speech-to-text locally. That part is instant and unlimited. The cloud part is optional: a rewrite layer that polishes rough dictation into clean prose. If you don't need the rewrite, if you're mostly dictating structured content like code comments, PR explanations, and incident notes, the free tier is everything.
If you do need polish, the Pro tier includes the rewrite. But the bottleneck wasn't the polish. The bottleneck was hitting the word cap and losing your thread. The bottleneck was switching context from speaking to typing and never quite recovering the thought.
Rethinking What "Faster" Means for Developers
Your team's got Claude, Copilot, and GitHub Copilot. Your IDE is getting smarter about completing your intent. The person now isn't "developer who types code." It's "developer who describes intent, reviews what the model built, refines the spec."
Voice is faster for this workflow, but not because you speak at 150 words per minute. Voice is faster because your hands stay free for the model's output. Voice is faster because you don't have to context-switch between thinking and typing. Voice is faster because a late-night design doc stays unbroken.
The tools you use need to understand this shape. They need to let you think out loud for as long as the thinking takes. They need to get out of the way.
That is what uncapped, local dictation is for.