The bottleneck in your workflow isn't typing speed anymore. It's explaining to Claude what you want it to build.
You've noticed this shift. A year ago, you typed code. Now you type intent. Longer prompts, more context, more words to nail the architecture. A 30-second design doc became a 3,000-word spec explaining settlement logic, retry strategies, state machines. Voice dictation sounds obvious. Dictate instead of typing, save an hour a night.
Then you hit the word cap.
Wispr, Willow, and the Cap Problem
Wispr Flow caps free users at 5,000 words. Hit that limit mid-paragraph, and you're back to typing. Willow charges $12 a month. Superwhisper is $8.49. All meter the same way: cloud transcription costs money, so they limit free usage.
The thing is, transcription costs almost nothing to run locally. Whisper-large-v3 achieves 96.3% word accuracy on the LibriSpeech benchmark and runs entirely offline. Zero variable cost per word. Zero metering required.
Yet most consumer dictation tools build the cap into the product as if it's a technical necessity. Really, it's a business decision. The cap justifies the SaaS pricing model more than any actual infrastructure cost does.
Why Local Changes the Equation
When transcription runs locally, the constraints disappear.
You can dictate the full design doc in one pass without counting words. You can draft a 5,000-word incident postmortem without fragmenting it across sessions. You can speak at the pace of thought instead of the pace of the word meter ticking toward the ceiling.
It's also privacy. Your code never leaves your machine. Fintech developers, healthcare builders, security teams, anyone with IP concerns or compliance rules, can use voice without sending code samples to a third-party server. That's not a marketing angle. It's a structural difference in what the tool enables.
And latency. Local transcription has zero network latency. You finish speaking, the text appears instantly. That feels different than waiting for a server round-trip. The difference is small in absolute terms, but enormous in how it feels to use. Flow breaks when you wait. Flow persists when response is immediate.
How Recitey's Free Tier Works
Recitey runs Whisper locally. No word limit. No counter. No monthly charge.
The free tier is the full transcription engine, not a limited demo. The paid tier adds cloud-side rewrite, polish the rough local transcription into publication-ready prose, but that's optional. Most engineers find the local transcription clean enough to use directly.
This pricing structure reflects the actual tech cost, not the distribution cost. Whisper running on your device costs you electricity. That's it. The SaaS model usually pretends that justifies a $12/month cap, but really the cap justifies the recurring revenue. Recitey inverts that. It charges for the value-add (cloud rewrite), not for the bottleneck (local transcription).
It works across your environment too. Cursor, Slack, Linear, Notion, terminal, email, anywhere you type, you can dictate. The tool understands the new workflow shape: prompt writing, spec drafting, design docs, incident postmortems. Not code typing. Not voice memos you'll transcribe later. Real-time dictation into the actual work product.
Marcus's Day
Marcus is a backend engineer at a fintech in Stockholm. He drafts incident postmortems by voice.
Last quarter, he tried Wispr Flow because the framing made sense: speak instead of type, save time. It worked until the postmortem hit a subtlety. He was explaining a settlement reconciliation edge case, the kind of detail that's crucial to document but takes 400 words to get right. Hit the 5,000-word cap mid-explanation. Flow broke. He finished the document typing at midnight. Spent 45 minutes the next morning cleaning up the fragmented prose.
The problem wasn't his speech. It was that the tool forced him to choose: constrain the thought to stay under the word cap, or fragment the thought across multiple sessions.
When he moved to Recitey, that choice disappeared. He dictated the full postmortem, architecture, the retry logic edge case, the incident timeline, the three lessons learned. The local transcription was clean on the first pass. No cap. No counter. No next-morning cleanup. The whole thing took 20 minutes, including one optional rewrite pass to tighten the prose.
Now when Marcus reaches for voice, he's not dictating a memo he'll transcribe later. He's dictating the finished work product. The structural difference is enormous.
What Actually Changed
The shift is subtle but it changes what you can do with the tool.
You stop thinking about dictation as a way to capture raw voice and clean it up later. You think about it as a way to draft directly into your work product. The word cap disappears from the workflow entirely because it never appears in the product.
You also stop assuming your code has to go to the cloud. When transcription runs locally, code IP stays on your machine. That's not paranoia. That's a legitimate constraint for anyone working in fintech, healthcare, or security.
And you stop paying for metering. The free tier is genuinely free, genuinely unlimited. No monthly fee. No word counter. No conversion funnel disguised as a product limitation.
It's not a productivity hack. It's a structural change in what the tool enables.