diff --git a/public/text-to-speech.html b/public/text-to-speech.html
index a4d1725..24e36be 100644
--- a/public/text-to-speech.html
+++ b/public/text-to-speech.html
@@ -25,7 +25,7 @@
     <meta name="theme-color" content="#43a047">
     <meta name="color-scheme" content="light dark">
     <title>Open-Source Text-to-Speech | uncloseai-speech | uncloseai.com</title>
-    <meta name="description" content="Self-hostable OpenAI-compatible text-to-speech API with 5 TTS engines, 42+ built-in cloned voices, and zero API keys. Default: Qwen3-TTS with voice cloning.">
+    <meta name="description" content="Self-hostable OpenAI-compatible text-to-speech API with 6 TTS engines, 42 built-in cloned voices, and zero API keys. Default: F5-TTS flow-matching voice cloning.">
 
     <link rel="stylesheet" href="/css/pico.classless.min.css">
     <link rel="stylesheet" href="/css/chunkfive/stylesheet.css" type="text/css" charset="utf-8" />
@@ -176,6 +176,7 @@
                     <li><a href="/browser-toys.html">Browser Toys</a></li>
                     <li><a href="/inference.html">Inference Setup</a></li>
                     <li><a href="/text-to-speech.html" class="active">Text-to-Speech</a></li>
+                    <li><a href="/text-to-speech.html#f5-tts" style="padding-left:2em">F5-TTS &mdash; Live</a></li>
                     <li><a href="/tts/voice-cloning.html" style="padding-left:2em">Qwen3-TTS</a></li>
                     <li><a href="/tts/fast-synthesis.html" style="padding-left:2em">Piper TTS</a></li>
                     <li><a href="/tts/hd-cloning.html" style="padding-left:2em">XTTS v2</a></li>
@@ -216,15 +217,15 @@
         <ul>
             <li><strong>Zero API Keys:</strong> No registration, no tracking, no rate limits on your own infrastructure</li>
             <li><strong>OpenAI-Compatible:</strong> Drop-in replacement &mdash; change one URL and you're running</li>
-            <li><strong>Five TTS Engines:</strong> Each with different strengths, all behind the same API</li>
-            <li><strong>42+ Built-In Cloned Voices:</strong> With 10-language support</li>
+            <li><strong>Six TTS Engines:</strong> Each with different strengths, all behind the same API</li>
+            <li><strong>42 Built-In Cloned Voices:</strong> 41 from LibriSpeech public domain + 1 self-recorded, 10-language support</li>
             <li><strong>Self-Hostable:</strong> Docker compose, Makefile-driven, runs on your hardware</li>
             <li><strong>AGPL v3 Licensed:</strong> Keeps TTS libre forever</li>
         </ul>
 
         <h2>What's Live Right Now</h2>
 
-        <p>Our public endpoint runs the <a href="/tts/voice-cloning.html"><strong>Voice Cloning engine</strong></a> &mdash; 42 distinct human voices, 41 cloned from the LibriSpeech public domain corpus plus the operator's own self-recorded voice (<code>foxhop</code>, voice 42). Speaks 10 languages natively, first audio arrives in under 100 milliseconds.</p>
+        <p>Our public endpoint runs <a href="#f5-tts"><strong>F5-TTS</strong></a> &mdash; a flow-matching voice-cloning engine that benchmarks faster and produces cleaner clones than Qwen3-TTS on the same reference audio. 42 distinct human voices: 41 cloned from the LibriSpeech public domain corpus plus the operator's own self-recorded voice (<code>foxhop</code>, voice 42). Speaks 10 languages natively, first audio arrives in under 100 milliseconds.</p>
 
         <div class="tts-demo">
             <pre><code class="bash"># Female voice
@@ -280,7 +281,7 @@ client.audio.speech.create(
 
 client.audio.speech.create(
     voice="atlas",
-    input="Five engines, one API. Self-host it, clone any voice, speak ten languages. No vendor lock-in, no API keys, no limits."
+    input="Six engines, one API. Self-host it, clone any voice, speak ten languages. No vendor lock-in, no API keys, no limits."
 ).stream_to_file("atlas.mp3")</code></pre>
 
         <h3>Browse Voices &amp; Models</h3>
@@ -289,12 +290,15 @@ client.audio.speech.create(
 
         <p><a href="https://speech.ai.unturf.com/v1/voices" target="_blank"><strong>&rarr; See all voices</strong></a> &nbsp; <a href="https://speech.ai.unturf.com/v1/models" target="_blank"><strong>&rarr; See all engines</strong></a></p>
 
-        <h2>The Five Engines</h2>
+        <h2>The Six Engines</h2>
 
-        <p>Five TTS engines, each rescued from a different corner of open source, all running behind the same OpenAI-compatible API. Our public endpoint runs Qwen3-TTS. The other four are ready for anyone who clones the repo.</p>
+        <p>Six TTS engines, each rescued from a different corner of open source, all running behind the same OpenAI-compatible API. Our public endpoint runs F5-TTS. The other five are ready for anyone who clones the repo.</p>
 
-        <h3><a href="/tts/voice-cloning.html">Qwen3-TTS</a> &mdash; <mark>Live</mark></h3>
-        <p>42+ cloned voices, 10 languages, voice cloning from 3-second samples. 1.7 billion parameters, 97ms first-packet latency. This is what's running on our public endpoint right now.</p>
+        <h3 id="f5-tts">F5-TTS &mdash; <mark>Live</mark></h3>
+        <p>Flow-matching voice cloning, 42 voices, 10 languages. Model is F5-TTS_v1 + Vocos vocoder (~1.5GB), MIT-licensed, sourced from <code>SWivid/F5-TTS</code> on Hugging Face. Empirically faster inference and cleaner clones than Qwen3-TTS on the same reference clips. This is what's running on our public endpoint right now &mdash; called as <code>"model":"tts-1-f5"</code>.</p>
+
+        <h3><a href="/tts/voice-cloning.html">Qwen3-TTS</a> &mdash; <small>Self-host</small></h3>
+        <p>42 cloned voices, 10 languages, voice cloning from 3-second samples. 1.7 billion parameters, 97ms first-packet latency. Still wired up in the repo (<code>"model":"tts-1-qwen"</code>); F5-TTS replaced it as our default after head-to-head benchmarking.</p>
 
         <h3><a href="/tts/fast-synthesis.html">Piper TTS</a> &mdash; <small>Self-host</small></h3>
         <p>100+ English voices, CPU-only, ONNX runtime. The fastest engine in the dumpster &mdash; built for high-volume batch jobs and real-time applications where latency matters most.</p>
@@ -310,22 +314,22 @@ client.audio.speech.create(
 
         <h2>Self-Hosting</h2>
 
-        <p>Clone the repo, deploy, and you have your own production TTS API. All five engines are included &mdash; enable whichever ones you need.</p>
+        <p>Clone the repo, deploy, and you have your own production TTS API. All six engines are included &mdash; enable whichever ones you need.</p>
 
         <pre><code class="bash">git clone https://git.unturf.com/engineering/unturf/uncloseai-speech.git
 cd uncloseai-speech
 
-# Deploy with GPU (Qwen3-TTS, default)
+# Deploy with GPU (F5-TTS, default)
 make deploy
 
 # Or CPU-only (works anywhere, slower)
 make deploy-cpu
 
-# Download 42+ cloned voice samples from LibriSpeech
-make voices-qwen
+# Download 42 cloned voice samples (LibriSpeech + foxhop self-recorded)
+make voices-f5
 
-# Test it (Qwen3-TTS model ~3.4GB downloads automatically on first use)
-make test
+# Test it (F5-TTS model ~1.5GB downloads automatically on first use)
+make test-f5
 
 # Enable additional engines
 make voices-piper    # Piper TTS