Developers don't type code anymore. You're typing intent, prompts, design docs, specification for what the model should build. The keyboard input changed from logic to language. Yet most voice dictation tools still price like it's 2015, metering your words as if every sentence costs something.
The workflow shifted
Take Marcus, a backend engineer at a Series B fintech in Stockholm. At 11pm, he's drafting a design doc in Linear about payment settlement finality. The write runs long, explaining architectural trade-offs, consensus protocols, failure scenarios. He's halfway through explaining cascade timeouts when Wispr stops recording. Word cap hit. The thought is gone.
Next morning, he rereads what he got down and has to reconstruct the interrupted section. The flow broke. Cloud dictation tools charge per word exactly because they're metering a cloud service. That pricing structure made sense in 2015 when you were just transcribing voicemails. It makes no sense now.
The real cost isn't words; it's interruption
Developers building with LLMs aren't speaking faster. They're speaking longer. A 1200-word design doc isn't verbosity, it's necessary detail. Wispr caps free users at 2,000 words per day. Willow at 1,500. Superwhisper at 1,000. Each cap is designed to funnel you to a paid plan.
The interruption doesn't just cost time. It breaks thinking. You lose the thread. You have to restart the doc tomorrow. The productivity loss isn't about typing speed, it's about cognitive continuity.
What's actually at stake: data flow and honesty
For Marcus, the real friction is different. He won't use cloud transcription because Linear design docs contain code architecture, potential security approaches, and vendor decisions that aren't public yet. Code IP exists in prose too.
Recitey runs Whisper locally on your device. Speech-to-text never leaves the machine. The only cloud call is optional, for the rewrite polish, and you control that toggle. That's not a feature claim; it's a technical architecture. Local processing, transparent data flow, zero variable cost per word.
Accuracy doesn't require cloud
The objection is predictable: "Doesn't cloud give you better accuracy?" Whisper-large-v3, which Recitey uses locally, achieves 96.3% word error rate on LibriSpeech benchmarks. That's the standard accuracy bar for professional speech-to-text. You're not sacrificing quality; you're removing the middleman.
The free tier is the product
Most SaaS tools meter the free tier to create friction. Recitey's free tier is full-fat Whisper, no cap, locally. That's not a trial; it's the actual product. The paid tier exists for the rewrite polish, the optional cloud call that polishes rough draft to publication-ready. The architecture separates concerns cleanly: local dictation has zero marginal cost; cloud rewriting costs server resources.
This structure reflects what developers actually believe: local-first beats cloud-first when latency or privacy matters. Most premium SaaS prices reflect distribution costs more than tech costs. If a tool won't show you what runs where, it's probably hiding something.
It works where you already are
Marcus uses Cursor because its tab-complete reduces voice rewrite friction. He's in Slack explaining incident postmortems. He's in GitHub reviewing PRs. He's in Linear at 11pm.
Recitey works in all of those places, Slack, email, browsers, terminal, every Windows app via the system clipboard. Same tool, every context. You're not retraining your workflow around a new app; the tool follows where your thinking already lives.
The honest trade-off
Here's what you get on the free tier: raw, unpolished Whisper output. Fast. No filters. Useful at 11pm when you need to get the idea down.
Here's what the paid tier adds: a cloud-side rewrite that polishes the rough draft into clean prose in under two seconds. It's genuinely optional. Some people never want it. Some want it for client-facing contexts, not for internal design docs.
The trade-off isn't features versus no features. It's speed versus polish. Both matter. But the speed, the uninterrupted thinking, that's free.
The question developers should ask isn't how many words you get per day. It's whether the tool understands that your bottleneck moved. And whether it charges you for that understanding.