Marcus is a backend engineer at a payment settlement startup. At 11pm, he's writing a design doc that explains how the system should handle a new edge case in settlement routing. He's been talking for 45 minutes. The dictation tool caps out. He's 2,340 words into explaining the flow, and Wispr's free tier stops recording.
He switches back to typing, tries to finish the thought, loses half of it.
This is the friction no one talks about. The bottleneck isn't speaking speed. It's that the voice tools were designed for old workflows.
Your workflow changed. The tools didn't.
Three years ago, if you were dictating, you were probably narrating a voice memo or writing an email. Dictation tools were built for that use case: grab the rough audio, transcribe it, edit it once. Done.
Now you're writing prompts for Claude. You're drafting system designs at midnight. You're explaining bug reproductions and edge cases in Slack threads. You're walking Cursor through the feature you want built.
The work shifted from typing code to typing intent. Same keyboard, way more words.
A typical design doc used to be 800 words. Now they're 2,000+. You're not rambling. You're writing specification-grade descriptions so the model understands context deeply enough to generate something worth keeping. You're being precise on purpose.
Dictation tools still think you're recording a voice memo. They cap the free tier at 1,000 words a month, or they charge $12-$14/month to remove the cap, or they're indie tools that disappear in six months.
The IP problem nobody mentions.
Marcus also refuses cloud-based dictation. His code examples, his architecture thinking, his decisions about why a payment system works a certain way, that's proprietary. It doesn't go to Wispr's servers. It doesn't get logged for model training. It stays local.
This is why he switched to Cursor instead of VS Code. Cursor's tab-complete understands your codebase context locally. When he dictates a variable name, Cursor suggests the exact one he needs. He doesn't say it twice. He doesn't rewrite it. The tool understands the context.
The same principle applies to dictation. If the model is running locally, latency is sub-second. There's no API queueing. No cloud overhead. No bottleneck.
What Recitey actually does differently.
Recitey runs Whisper locally on your device. No variable cost. No word counter. No monthly cap on the free tier. You can dictate a 3,000-word design doc in one sitting, and it ships the raw transcript.
The Pro tier is for the rewrite layer: the cloud-hosted grammar and clarity pass. The dictation part? It's already uncapped and local.
This is the opposite of how most voice tools price. Wispr charges for the transcription. Otter.ai charges for the transcription. Superwhisper charges for the transcription.
Recitey's model is structural: Whisper is free and local. If you want the polish, that's where Pro comes in.
What actually changes.
Marcus's 11pm design doc gets written in one continuous voice session. No interruption. No switching back to typing to finish the thought. No fragmented prose to clean up tomorrow.
The rewrite layer can tighten it if he wants. Grammar pass, clarity pass, whatever. But the flow state stays intact. The thinking gets preserved.
This matters if you write by voice because you think faster than you type. It matters if you're explaining architecture at 11pm and you need the tools to disappear. It matters if your code IP never leaves your machine.
It matters because the work you're doing now, prompting models, writing specs, explaining intent, requires sustained voice sessions. A 2,000-word design doc isn't an interruption. It's the actual work.
With the word cap lifted and latency gone, something shifts. The design doc gets written without breaks. The thinking flow doesn't interrupt itself.
That's the difference.