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The Apparent Price: A "Modest" Subscription
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Fifteen dollars a month. That is the price displayed by most intelligent voice dictation services. A sum that seems reasonable, almost trivial. Less than a restaurant meal, less than a streaming subscription. A small line in the budget, easily justified by the promised time savings.
But this price is only the tip of a colossal economic iceberg. Beneath the surface, multiple costs accumulate, invisible, insidious, that rarely does anyone take the time to calculate. The real cost of cloud dictation is not monetary. It is structural, temporal, and fundamentally personal.
Let us start with the simple calculation. Fifteen dollars monthly is one hundred and eighty dollars annually. Over ten years — the minimum duration of a professional career — that is one thousand eight hundred dollars. And that does not account for inevitable price increases, upgrades to higher tiers to unlock essential features, overage fees during busy months. An active professional user can easily reach three to five thousand dollars over a decade, just for voice dictation.
But the monetary cost is only the first level.
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The Second Cost: Your Biometric Data
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Your voice is a sonic fingerprint. It carries your accent, your cadence, your timbre, your emotional state, your speech habits, your professional vocabulary, your verbal tics, your hesitations when you lie. It is a biometric portrait richer and more intimate than most data you voluntarily share on social media.
When you dictate via a cloud service, this fingerprint does not simply transit to a server to be transcribed. It is stored. Analyzed. Aggregated with millions of other voices to train increasingly powerful models. Models that will be used to identify emotions, detect diseases, authenticate identities, predict behaviors. Models that will be sold to third parties, integrated into surveillance systems, used for purposes you never approved.
The terms of service you accepted by clicking "I have read and agree" — because no one really reads them — explicitly authorize this use. They mention improving services, developing new features, collaborating with partners. Formulations sufficiently vague to cover practically any use, sufficiently precise to deprive you of any legal recourse.
And even if you trust the current company, what guarantees its future behavior? Acquisitions, bankruptcies, strategic direction changes constantly transform promises into commercial opportunities. Your data collected today under a "respectful" policy may tomorrow be exploited under a totally different policy, and you will have no way to recover it.
The Third Cost: Your Structural Dependency
The third payment is the most pernicious, because it is made in the currency of autonomy. Every day spent using a cloud service reinforces your dependency. Your habits align with its features. Your vocabulary adapts to its strengths and weaknesses. Your entire workflow organizes itself around its permanent presence, its indispensable connection, its algorithmic benevolence.
This dependency extends beyond the tool itself. It embeds itself in your collaborations — your colleagues use the same service, creating interdependency. It anchors itself in your documents — your formats, your templates, your processes are optimized for this specific tool. It takes root in your skills — you learn to dictate in a way compatible with its language model, not in a natural way.
And then one day, the service changes. An essential feature disappears behind a paywall. An update breaks your workflow. A promising new competitor attracts investment, and your tool's development slows. You find yourself trapped in an ecosystem that no longer serves you, but from which you cannot extract yourself without a prohibitive migration cost.
This is the economic model of dependency. Companies do not sell tools. They sell habits. And habits, once established, are the most reliable recurring revenue there is.
The Alternative: Pay Once, Own Forever
Faced with this triple billing — subscription, data, autonomy — local AI proposes a radically different model. A model where you pay for your hardware once, where your data stays on your machine, where your autonomy is preserved.
Let us do the reverse calculation. An RTX 3060 graphics card, capable of comfortably running 7 to 12 billion parameter models, costs about three hundred dollars. Add a decent processor, RAM, an SSD — you have a complete machine for one thousand to fifteen hundred dollars. This machine does not serve only dictation. It runs all your software, your games, your office work, your creation. Local dictation is just one use among many.
Even counting only the GPU cost amortized over dictation, the calculation is eloquent. Three hundred dollars divided by one hundred and eighty dollars of annual subscription equals twenty months. Less than two years to amortize the hardware investment. And after those twenty months, you pay nothing more. Zero subscription. Zero hidden fees. Zero surprise price hikes.
More important still: your data never leaves. Your voice is processed in RAM, immediately destroyed after transcription. No storage. No analysis. No resale. Your biometric fingerprint stays where it should be — with you.
And your autonomy? Total. You can work without internet. You can customize your models. You can add your professional vocabulary, your shortcuts, your preferred transformation modes. You can modify the source code if you have the skills, or delegate this task to a developer. You are tied to no company roadmap, no board decision, no strategic pivot.
And there is a dimension that cloud services charge for separately — and expensively — that local AI makes native and free: text-to-speech. Engines like Kokoro or Nivoj allow your local agent to respond to you vocally, in real time, without any connection. This is not a gadget. It is what transforms a dictation tool into a true interactive dialogue: you speak, the agent processes, it responds aloud. A complete conversational loop, entirely offline, entirely under your control. Cloud services that offer this functionality generally reserve it for their premium subscriptions. Here, it is included by default.
Pareto's Law of Technical Independence
Skeptics invoke the superiority of cloud models. And they are right, in absolute terms. Hundred-billion-parameter giants surpass local models on the most complex tasks — complete software architecture, cutting-edge scientific research, advanced abstract reasoning.
But let us apply Pareto's law. Eighty percent of your daily use — writing emails, rephrasing texts, translation, boilerplate code generation, note-taking, shell commands — is perfectly mastered by a local 7 to 12 billion parameter model. Fast, precise, sufficient.
The remaining twenty percent — the truly complex challenges — can be delegated occasionally to cloud tools, used with discernment. The important thing is not to do everything locally. It is to no longer do everything in the cloud by default. It is to reserve external tools for cases where they bring real, irreducible value.
This hybrid approach — local by default, cloud by exception — is economically unbeatable. It preserves your privacy. It maintains your autonomy. And it costs you three to five times less over the long term.
The Real Luxury: Mastery of Your Tools
In a world obsessed with convenience, choosing mastery is an act of resistance. It is refusing the passive consumption model for the active competence model. It is preferring to understand how your tool works to simply using it. It is accepting a slight initial overhead — in learning time, in configuration — for lasting benefits.
PerkySue embodies this philosophy. A voice dictation tool that runs entirely on your machine. Whisper for recognition, llama.cpp for transformation, direct injection at your cursor — and Kokoro/Nivoj for text-to-speech, so your agent can respond aloud and engage in a true interactive dialogue. No account. No cloud. No subscription for the core. Just your voice, your machine, your productivity.
The cost? An install.bat file that detects your GPU, downloads dependencies, configures the environment. Fifteen minutes for a setup that will last years. The core is free — and that includes text-to-speech: the interactive dialogue capability with your local agent is part of the base pack, with no subscription. Advanced features — Pro modes, deep customization — are $9.90 per month, but the essentials, dictation + agent voice response, remain free and permanent.
Compare with the fifteen dollars monthly of a cloud service, multiplied by ten years, regularly increased, conditioned on the longevity of a company. The calculation is no longer economic. It becomes existential.
Conclusion: The Price of Freedom
The next time you evaluate a dictation tool, do not settle for the displayed price. Calculate the total cost of ownership over ten years. Question what happens to your data. Assess your ability to do without the service tomorrow if necessary.
The real luxury of the 21st century is not having access to all the world's services. It is being able to do without them. It is owning your tools, your data, your skills. It is paying once for something that stays, rather than renting perpetually something that can disappear.
Local AI is not a step backward. It is a choice for the future. A choice of mastery, sovereignty, intentionality. A choice that begins with a simple question: what if my voice stayed mine?
About the Author
Jérôme Corbiau is the creator of PerkySue, a local voice dictation tool with AI that works entirely offline, with no remote server or data transmitted. He is also co-founder and software architect of My App Zone SRL (Brussels), and creator of the Cloud Neareo platform — an award-winning CMS notably by Microsoft and the Public Service of Wallonia, deployed in museums and heritage sites. His work aims at a constant objective: putting technology at the service of the user, rather than the reverse.
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