You've noticed it: the conversation between you and your LLM has become longer than the code you're writing. You're explaining intent, edge cases, acceptance criteria, and deployment assumptions in prose that'll get fed into Cursor or Claude. But halfway through dictating a design doc at 11pm, you hit a word cap. The flow stops. You save the half-finished thought to Slack, split it across multiple messages, or you just accept that the next morning you'll re-type it all more carefully.
The Workflow Shift
The keyboard is still there. You still type. But typing is no longer the primary act. You're typing prompts and specs now. You're structuring intent in prose so that Claude, Copilot, or Cursor can build what you mean.
This is heavier writing than code ever was. Code is sparse and structured. Intent is dense and circular. You repeat yourself. You contradict yourself. You add caveats. You think out loud.
When you try to speed up this new kind of writing with cloud-based voice dictation, you run into something that feels designed for a different job entirely. Wispr charges $14 a month and caps your free tier at a few hundred words. Willow and Superwhisper lock you into similar limits. The assumption built into their pricing is that voice is a convenience feature, like the cherry on top of a typing workflow. It's not.
Where the Cap Actually Hurts
Marcus, a backend engineer at a fintech in Stockholm, discovered this the hard way. He was drafting a design doc for a payment settlement refactor at 11pm. His fingers were tired. He'd already explained the approach on a call; now he needed to spell out the trade-offs and the data migration plan in prose.
He started dictating. Coherent. Flowing. The words came faster than his hands ever would have typed. Then at around 800 words, the word counter ticked over. The cap hit. He had another 400 words to explain the rollback strategy and the fallback logic. He switched back to typing. The thinking fragmented. By morning, his prose was a mix of voice and keyboard, and it felt disjointed in a way that made him self-conscious about sharing it with the team.
This happens every time a developer tries to use a capped voice tool for spec writing. The tool assumes you're dictating quick Slack messages. It's not built for the moment when dictation is your primary intent channel.
What Local Actually Means
The usual story about local tools is about privacy. And it's true. Marcus specifically refuses cloud-based transcription because he doesn't want code snippets or business logic traveling to someone else's server. That's valid.
But there's a second reason local matters here: it has no variable cost. Speech-to-text isn't free at cloud scale. Every word transcribed is a billable event. That's why Wispr and the others have caps. They're not protecting you; they're protecting their compute budget. A free tier with a hard cap is a cap that will never increase, because increasing it would cost them money.
Local Whisper runs on your machine. One install, then infinite words. The cap doesn't exist because there's nothing to cap. You get uncapped dictation for free, and if you want the cloud rewrite feature later, you pay for that part only.
This is a structural difference. It's not a sales decision. It's how the economics work.
The Developer Trust Equation
Developers are skeptical of voice tools because most of them hide something. They hide what model they're using. They hide where your audio goes. They hide the latency. They hide the cap structure until after you sign up.
Recitey doesn't ask you to trust a vague pitch about productivity gains. It uses Whisper, which is open-source and peer-reviewed. It runs locally. No audio leaves your device unless you explicitly choose to pay for cloud rewrite. No subscription gate between you and uncapped dictation. No word counter ticking toward a limit you can't control.
This is the opposite of the SaaS pricing playbook. Most voice tools charge monthly access to get past their limits. Recitey lets you have unlimited voice transcription for free, and charges for an optional rewrite feature that polishes rough dictation into cleaner prose.
When you're working in Cursor at 2am, or writing a PR description that needs to explain a subtle performance issue, or documenting a bug investigation in Slack, you need your tool to work with you, not against you. A word cap that hits at 800 words isn't friction you can work around. It's a sign the tool was built for a different workflow than the one you actually have.
The Comparison That Matters
You're not comparing voice tools in a vacuum. You're deciding whether voice dictation belongs in your new workflow at all. Most developers try a capped tool, get frustrated when they run into the limit, and conclude that voice dictation is just for quick stuff. They're not wrong. It's just that their tool isn't built for the long stuff.
Wispr Flow ($14 a month, capped free tier) is polished and works well inside its constraints. Superwhisper ($8.49 a month, indie, also capped) is slick and fast. But they're all operating from the assumption that you want to dictate short bursts into existing text workflows.
Recitey starts from a different premise: that the bottleneck has shifted to prompt and spec writing, and that uncapped local transcription is the baseline your workflow actually needs.
What Changes After
Once you have uncapped dictation, you start using it differently. You don't reach for the voice memo as a quick shortcut. You reach for it as your primary think-aloud channel for anything longer than a Slack message.
You dictate design docs. You record PR descriptions. You explain refactorings out loud and let the transcription land in a doc you'll clean up in one pass. You stop context-switching between typing mode and thinking mode.
The rewrite feature (the paid part) handles the polish: it turns your rough dictation into a clean draft in under two seconds. But even without it, uncapped dictation changes the shape of your work. You're no longer constrained by someone else's guess at how much voice is enough.