When Marcus, a payment systems engineer at a Stockholm fintech, sits down at 11pm to draft a design doc, his thoughts are sharp and connected. He speaks into a microphone instead of typing. Halfway through explaining the retry logic, a word counter clicks red; free tier exhausted. The next morning, he's filled the gaps himself, and the thinking is no longer clean.
This is not a typing-speed problem. This is a thinking-flow problem. The bottleneck in modern development shifted from how fast your fingers move to how fluidly you can externalize intent, especially when you're explaining architecture to an LLM that will build it.
Intent, Not Code
Code is no longer the primary artifact. Intent is.
When you work in Cursor or Claude Code, you're not typing functions. You're typing specifications: what the model should do, why, what it shouldn't break, edge cases that matter. A three-line function takes ten lines of intent. A complex feature takes a design doc's worth of context.
This shift happened quietly. Most voice tools didn't notice. They're still optimized for "take a quick voice note" or "dictate your email faster." They measure success in words-per-minute, as if the constraint was always finger speed.
For developers using LLMs, the constraint is thinking fluidity. You need to speak a complete thought without interruption. You need the tool to stay silent and let you finish. And you need to know the tool isn't parsing code snippets in the cloud for training data.
The Economics of Local
Most voice transcription tools run in the cloud. They charge because they're paying for inference. Each word costs compute, so they cap the free tier.
Whisper runs locally, on your device. There's no per-word cost. The free tier doesn't need a cap.
Wispr charges $14 a month because they host the model. Superwhisper is indie and $8.49, but still cloud-first. The moment you hit their free limit, they meter you.
Recitey runs local Whisper. No word counter. No cloud dependency. The free tier isn't a conversion funnel. It's the actual product.
The pro tier exists for something different: the clean rewrite step. Taking rough voice output and polishing it into a structured sentence in under two seconds. That runs in the cloud because that's where the benefit is, specialized models, low latency, the kind of thing local hardware doesn't need to do.
But the dictation itself? That's local. Uncapped. A developer can draft an entire design doc by voice without watching a counter.
Design Docs Without Interruption
Marcus uses Cursor, not VS Code, partly because Cursor's tab-complete reduces voice rewrites. Less correction loop. He also refuses cloud transcription because code IP doesn't leave the device.
A tool that meters transcription forces a choice: cap your thinking flow, or send code snippets to a third-party server. That's not a product constraint. That's a business model constraint baked into the pricing.
Local Whisper removes that choice. The device listens. The intent gets typed. The code stays yours.
It also works everywhere: Slack, Linear, Notion, design docs, terminals, GitHub comments. Not locked to one IDE or one interface. The voice doesn't care where the text is going to live.
Fluidity Over Speed
The developers moving fastest right now are the ones who can dump intent into a model and iterate. The ones who lose time are the ones whose voice tool stops them mid-thought.
A word cap isn't a "feature limitation." It's an interruption. It's friction in the thing that matters: the thinking loop.
Local Whisper means you can sit down at 11pm, speak for 20 minutes, and get a complete design doc. No stops. No gaps to fill in the morning. The rough prose is there. The next step is the rewrite, where polish actually matters.
Most voice tools optimized for speed. This one optimized for fluidity. For the developers who've already shifted to intent-first workflows, that's the difference between a tool that gets in the way and one that disappears.