Why On-Device AI Matters

The Cloud Assumption

For the past decade, the default assumption in software has been that AI means cloud. You speak into your phone, your audio travels to a data center, gets processed on powerful GPUs, and the result comes back. It works - but it comes with trade-offs that most people never think about until something goes wrong.

A cloud voice workflow sends audio or text to infrastructure outside your device, subject to the provider's processing and retention terms. That may be acceptable for some tasks, but people working with sensitive notes, confidential communications, or personal writing may prefer a local path when the workflow supports it.

Privacy Without Compromise

On-device AI eliminates the privacy question for local dictation. When FluxType transcribes your speech using a local Whisper model, your audio is processed on your computer for that local workflow. It does not need to be uploaded to a transcription provider. Cloud transcription and hosted AI remain separate choices with their own provider and retention terms.

This can matter for privacy-conscious users and sensitive workflows. Regulated teams still need to assess their own legal, security, and provider requirements; local processing is a product option, not a compliance certification or substitute for that review.

Speed You Can Feel

Cloud-based transcription introduces latency at every step: your audio must be captured, compressed, uploaded, queued for processing, transcribed, and the result sent back. Even on a fast connection, this round-trip adds hundreds of milliseconds. On a slower or congested network, it can take several seconds.

Local transcription removes the network from the equation entirely. FluxType begins processing your audio the moment you stop speaking. On modern hardware with GPU acceleration, results can appear almost instantly. The difference is tangible - dictation feels responsive rather than delayed, which matters when you're trying to maintain a flow of thought.

Cost That Makes Sense

Cloud transcription APIs typically charge per minute of audio. At scale, this adds up quickly. A professional who dictates for two hours a day could easily spend $30 to $50 per month on API fees alone - on top of any software subscription.

FluxType's free tier has no usage limits on local transcription. You can dictate all day, every day, without incurring any FluxType-hosted transcription cost. The compute happens on hardware you already own. Free accounts also include a built-in Output Styles preview for cleanup and rewriting. For users who want larger local models, more languages, a higher monthly hosted-AI allowance, or optional BYOK cloud providers, Pro is available at $6.99 per month or $59.88 per year. Local raw dictation still has no per-minute billing.

The Models Behind It

FluxType uses OpenAI's Whisper for local transcription, an open-source speech recognition model trained on 680,000 hours of multilingual audio. OpenAI's published materials describe Whisper as robust across accents, background noise, and technical language, while also noting that accuracy varies by language, accent, and audio conditions.

FluxType offers multiple model sizes to match your hardware and accuracy needs:

• Base (~142 MB) - Lightweight and fast. Ideal for quick dictation on modest hardware. Ships with the free tier.
• Small (~466 MB) - A strong balance of speed and accuracy. Works well on most modern PCs.
• Large v3 (~2.9 GB) - The largest local Whisper option in FluxType. Requires capable hardware and is available on Pro.

Each local model runs entirely on your device. You choose the one that fits your hardware and workflow, and FluxType handles the rest.

Security by Architecture

Local and cloud workflows have different trust boundaries. A local system can keep the local dictation path on your machine, while a cloud workflow depends on the selected provider's implementation, terms, and infrastructure.

For local dictation, this means the workflow does not require a transcription API key or third-party transcription request. It can reduce the number of systems in scope for a review, but it does not remove the need for an organization to assess its own requirements.

The Future Is Local

The trend toward on-device AI is accelerating. Hardware manufacturers are shipping dedicated neural processing units in consumer laptops. Open-source models are closing the gap with proprietary cloud services. And users are increasingly aware of - and uncomfortable with - the amount of personal data flowing to remote servers.

FluxType is built on the conviction that the best AI tools are the ones that work for you without working against your interests. Your voice is personal. Your words are yours. Local dictation keeps that workflow on your machine, under your control.