<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>DEV Community: BrethofAI</title>
    <description>The latest articles on DEV Community by BrethofAI (@brethofai).</description>
    <link>https://dev.to/brethofai</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3878857%2Fd0b3f37e-54d4-4266-be08-06d204e8bb1a.jpg</url>
      <title>DEV Community: BrethofAI</title>
      <link>https://dev.to/brethofai</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://dev.to/feed/brethofai"/>
    <language>en</language>
    <item>
      <title>I Built a $49 Voice-to-Text App That Never Touches the Cloud</title>
      <dc:creator>BrethofAI</dc:creator>
      <pubDate>Thu, 16 Apr 2026 07:32:31 +0000</pubDate>
      <link>https://dev.to/brethofai/i-built-a-49-voice-to-text-app-that-never-touches-the-cloud-4b4g</link>
      <guid>https://dev.to/brethofai/i-built-a-49-voice-to-text-app-that-never-touches-the-cloud-4b4g</guid>
      <description>&lt;h1&gt;
  
  
  Why I Built Brethof Voice Pro
&lt;/h1&gt;

&lt;p&gt;I got tired of two things:&lt;/p&gt;

&lt;ol&gt;
&lt;li&gt;Voice-to-text tools that only work well in English&lt;/li&gt;
&lt;li&gt;Every good STT solution either costs $700 (Dragon) or sends your voice to the cloud monthly&lt;/li&gt;
&lt;/ol&gt;

&lt;p&gt;So I built something different.&lt;/p&gt;

&lt;h2&gt;
  
  
  What It Does
&lt;/h2&gt;

&lt;p&gt;Brethof Voice Pro is a desktop app (Windows + Linux) that converts speech to text using AI — entirely on your device. Press Ctrl+D, speak, text appears where your cursor is.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Zero cloud calls during transcription.&lt;/strong&gt; Models download once on first launch, then it works fully offline.&lt;/p&gt;

&lt;h2&gt;
  
  
  The Tech Stack
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Qwen3-ASR engine&lt;/strong&gt; — 1.84% word error rate across 10 languages (arXiv 2601.21337)&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;GGUF models via llama.cpp&lt;/strong&gt; — 6 quantization tiers from 1 GB to 3.2 GB&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Vulkan GPU acceleration&lt;/strong&gt; — works on NVIDIA, AMD, Intel, and CPU-only&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;DeepFilter&lt;/strong&gt; noise reduction&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;36 languages&lt;/strong&gt; with auto-detection&lt;/li&gt;
&lt;/ul&gt;

&lt;h2&gt;
  
  
  Why It Matters
&lt;/h2&gt;

&lt;p&gt;If you speak Thai, Polish, Arabic, Vietnamese, Korean, or dozens of other languages — there has been &lt;strong&gt;no good voice-to-text option&lt;/strong&gt; for you. Dragon doesn't support most languages. Google's API charges per-minute and requires internet. Whisper's accuracy on non-English languages is mediocre.&lt;/p&gt;

&lt;p&gt;Qwen3-ASR changes this. State-of-the-art accuracy across 36 languages, running locally on consumer hardware.&lt;/p&gt;

&lt;h2&gt;
  
  
  Pricing
&lt;/h2&gt;

&lt;p&gt;$49 one-time. Perpetual license. No subscription.&lt;/p&gt;

&lt;p&gt;Compare: Dragon $699. Otter.ai $100-240/year. Google STT per-minute cloud pricing.&lt;/p&gt;

&lt;p&gt;14-day free trial, no credit card: &lt;a href="https://brethof.com" rel="noopener noreferrer"&gt;brethof.com&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Happy to answer questions about the architecture, GGUF quantization, or Vulkan vs CUDA tradeoffs.&lt;br&gt;
&lt;a href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fdla86uwsr756ld39t3ph.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fdla86uwsr756ld39t3ph.png" alt=" " width="800" height="264"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>ai</category>
      <category>privacy</category>
      <category>linux</category>
      <category>productivity</category>
    </item>
  </channel>
</rss>
