Free tier local Whisper, no word limit. Here's what that actually means for developers.
You're at 11pm on a Tuesday. 400 words into a Notion design doc, explaining the event schema for a payment settlement flow. Your brain is hot. The words are flowing. Then the word counter hits zero. The free tier caps out. Your cloud transcription pauses. You're mid-thought.
Now you're typing the rest by hand, piecemeal. Prose gets choppy. Formatting gets uneven. By morning you're rewriting fragments to glue them back together.
This is the moment that separates "voice tools are fine" from "voice tools are actually useful for how I work now."
The shape of developer work changed, but the tools didn't
Three years ago, if you asked a developer what they spent most of their time on, the answer was typing code. Actual, compilable code. Keyboard efficiency was real. Today, the honest answer is more complex: a significant chunk of your day is now writing intent.
Design docs. PR descriptions. Slack thread explanations of bugs. Prompt refinement for Cursor and Claude Code. Incident postmortems. These are all long-form writing, not code. They require more words than code does, sometimes 2 to 3 times more.
And they happen in real time. A design doc at 11pm is you thinking out loud. A PR description should explain the why, not rehash the diff. A Slack thread about a bug investigation is narrative. These artifacts need flow. They need voice.
But the tools for this weren't built for developers. They were built for everyone else.
Why word caps exist (and why they shouldn't apply to you)
Cloud-based transcription services, Wispr Flow, Superwhisper, Willow, price around the marginal cost of running audio through their server. Every minute of speech you record costs them money. So they meter it. Free tier? 30 minutes a month, or maybe 5,000 words. Hit the cap, and you resubscribe or switch tools.
That makes sense if you're selling dictation to office workers taking meeting notes. It does not make sense if you're a developer dictating a design doc at 11pm.
The catch is that not all transcription costs the same. Cloud transcription is variable, it scales with usage. Local transcription, speech-to-text running on your machine, has essentially zero variable cost. You run it once, it works, it's done. No metering. No cap.
What changes when there's no word limit
This is where the technical foundation matters. Whisper, OpenAI's open-source speech recognition model, runs locally on your device. Whisper-large-v3 achieves 3.8% word error rate on LibriSpeech, which means it's robust enough for design docs and PR descriptions. No internet required. No API cost. No rate limiter.
Recitey runs Whisper locally on your Windows machine. Free tier, no word cap. No hidden meter. You can finish your thought.
The rewrite service, the part that polishes rough voice output into clean prose, that runs in the cloud. That's the Pro tier. But the dictation itself? That's free, uncapped, and entirely local.
Marcus, a backend engineer at a Series B fintech in Stockholm, hit the word cap with every cloud tool he tried. Mid-design-doc, the meter cut him off. He switched to Cursor, which has tab-complete that reduces voice rewrites, and finished typing. It broke his flow. He refused to use cloud transcription anyway; code in a design doc shouldn't leave his machine.
Local Whisper solved it. He finishes his docs. The prose is rougher than if he'd spent 20 minutes rewriting by hand, but it's coherent. His flow stays intact.
The IP piece is not paranoid
Developers worry about code leaving the machine, and that worry is justified. If your design doc has pseudocode, or your incident postmortem walks through a bug in your payment processing logic, or your PR description quotes a Sentry stack trace, that's intellectual property. It shouldn't transit someone else's API.
Local-first means it doesn't. Your speech never becomes someone else's dataset. Your code stays on your machine. The cost is yours to bear, not shared with the vendor. That's a very different deal than the cloud pricing model assumes.
When this matters most
It matters most when your thought is longer than a sentence. When your work is real-time and iterative. When finishing the doc in one voice session is worth rougher prose. When the alternative is switching between apps, typing, and rewrites.
It matters when you're documenting something that isn't public yet. When your tool stack is Cursor, Slack, Linear, Notion, places where you move fast and think out loud. When your bottleneck is no longer typing speed, but prompt clarity and spec completeness.
Local Whisper, uncapped, is a different product from cloud tools with word meters. It's built for the new shape of developer work, and it won't interrupt your thinking mid-sentence.