Why Private Speech-to-Text?

The Hidden Cost of Typing

If your job involves a computer, you're probably typing for most of your workday. The numbers are striking:

Legal professionals spend nearly two-thirds of their workweek at the keyboard. Doctors, writers, researchers, and anyone who works with AI assistants face the same bottleneck: your thoughts move faster than your fingers.

Speech: 3x Faster Than Typing

The average person types around 40 words per minute. But we speak at 150 words per minute—conversationally, without rushing.

This isn't about replacing typing entirely—it's about having the right tool for the job. Dictating a long email, drafting a document, or prompting an AI assistant is dramatically faster when you speak instead of type.

The Privacy Problem with Voice Tools

Most speech-to-text solutions require sending your audio to remote servers. Every word you speak travels over the internet, gets processed on someone else's computer, and leaves a trail.

What's Wrong with Cloud Processing?

The Problem with "Always Listening" Apps

Some dictation tools run as permanent background processes with a hotkey to voice-type anywhere. Convenient—but at what cost?

• Constant resource consumption — Background processes use CPU, memory, and battery even when you're not dictating
• Expanded attack surface — Always-running software with microphone access is a potential security vulnerability
• Cloud dependency — Most always-on tools require internet connectivity and send audio to remote servers for processing
• Contextual data collection — Some services collect information about which apps you're using to "improve accuracy"

AI Voice Modes: Convenience vs. Privacy

ChatGPT's voice mode and similar AI assistants are impressive—but they come with privacy trade-offs that matter for sensitive work:

• Audio is recorded and transmitted — Your voice goes to OpenAI's servers for processing
• Retention policies vary — Audio may be stored for up to 30 days, longer for security/legal reasons
• Training opt-out isn't default — Consumer users may have their audio used to train models unless they explicitly disable it
• Voice identification capabilities — Advanced voice AI can identify speakers, raising surveillance concerns

For casual use, these trade-offs may be acceptable. For legal dictation, medical notes, financial discussions, or client communications? The risk calculus changes entirely.

Private Speech-to-Text: Part of an Efficient AI Workflow

The best workflow combines speed with privacy. Use CamoVoice to dictate your thoughts locally, then paste into whatever AI assistant or application you choose—maintaining control over what data you share and when.

This approach gives you the speed of voice input (3x faster than typing) while letting you review and redact before sharing with any cloud service. It's the best of both worlds.

Built for Professionals

CamoVoice includes features that matter for professional use cases:

• ISO timestamps — Optional 24-hour format timestamps on each transcription for legal, medical, and compliance documentation
• Custom vocabulary — Add up to 100 specialized terms, names, phrases, and jargon for improved recognition accuracy
• Full offline operation — Meets HIPAA, GDPR, and FISMA requirements by design—no data transmission means no compliance risk
• Flexible export — Save as TXT, DOCX, or PDF with optional document headers and timestamp formatting

Fraction of the Cost

Professional dictation software has historically been expensive. Dragon Professional—the industry standard—costs $699 for a desktop license. Cloud services charge monthly subscriptions that add up quickly.

Solution	Price	Privacy
Dragon Professional 16	$699 one-time	Offline capable
Dragon Professional Anywhere	$55/month ($660/year)	Cloud-based
Wispr Flow	Subscription	Cloud-based
CamoVoice	$24.99 one-time	100% Offline

CamoVoice is 28x cheaper than Dragon Professional, with no subscription fees, no cloud processing, and no ongoing costs. Pay once, use forever.