418 lines
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418 lines
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({ input: text, voice: voice })
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});
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if (!response.ok) {
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throw new Error('TTS request failed: ' + response.status);
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}
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const blob = await response.blob();
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const url = URL.createObjectURL(blob);
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await currentAudio.play();
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} catch (err) {
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console.error('TTS error:', err);
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button.classList.remove('playing');
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<li><a href="/tts/hd-cloning.html" style="padding-left:2em">XTTS v2</a></li>
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<li><a href="/tts/multilingual-cpu.html" style="padding-left:2em">Silero TTS</a></li>
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<li><a href="/tts/lightweight.html" style="padding-left:2em">Kokoro TTS</a></li>
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<a href="https://uncloseai.com"><h1 class="unturf" style="font-family: 'ChunkFiveRegular';">uncloseai.</h1></a>
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<p>Open-Source Text-to-Speech</p>
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</header>
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<h2>Raccoon Mission: Rescuing Abandoned TTS Models</h2>
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<p><strong>uncloseai-speech</strong> is our community-driven initiative to rescue, preserve, and unify abandoned text-to-speech models into a single, resilient, self-hostable API.</p>
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<blockquote>
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<p><strong>"Why raccoons?"</strong> Because like raccoons, we dig through the digital dumpsters of abandoned GitHub repos and archived projects, rescuing valuable open-source TTS models that organizations have left behind. We give them a new home, maintain them, and make them accessible to everyone.</p>
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</blockquote>
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<ul>
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<li><strong>Zero API Keys:</strong> No registration, no tracking, no rate limits on your own infrastructure</li>
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<li><strong>OpenAI-Compatible:</strong> Drop-in replacement — change one URL and you're running</li>
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<li><strong>Five TTS Engines:</strong> Each with different strengths, all behind the same API</li>
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<li><strong>42+ Built-In Cloned Voices:</strong> With 10-language support</li>
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<li><strong>Self-Hostable:</strong> Docker compose, Makefile-driven, runs on your hardware</li>
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<li><strong>AGPL v3 Licensed:</strong> Keeps TTS libre forever</li>
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</ul>
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<h2>What's Live Right Now</h2>
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<p>Our public endpoint runs the <a href="/tts/voice-cloning.html"><strong>Voice Cloning engine</strong></a> — 42+ distinct human voices cloned from the LibriSpeech public domain corpus, speaking 10 languages natively. First audio arrives in under 100 milliseconds.</p>
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<div class="tts-demo">
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<pre><code class="bash"># Female voice
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curl https://speech.ai.unturf.com/v1/audio/speech \
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-H "Content-Type: application/json" \
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-d '{
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"input": "We rescue abandoned text-to-speech models and give them a new home. No API keys, no tracking, just open source voices for everyone.",
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"voice": "aria"
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}' > aria.mp3</code></pre>
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<button class="tts-play-btn" onclick="playTTS('We rescue abandoned text-to-speech models and give them a new home. No API keys, no tracking, just open source voices for everyone.', 'aria', this)">
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<span class="play-icon">►</span> Play aria
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</button>
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</div>
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<div class="tts-demo">
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<pre><code class="bash"># Male voice
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curl https://speech.ai.unturf.com/v1/audio/speech \
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-H "Content-Type: application/json" \
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-d '{
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"input": "Like raccoons digging through digital dumpsters, we find the best open source TTS models that big companies left behind, and we make them accessible to everyone.",
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"voice": "atlas"
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}' > atlas.mp3</code></pre>
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<button class="tts-play-btn" onclick="playTTS('Like raccoons digging through digital dumpsters, we find the best open source TTS models that big companies left behind, and we make them accessible to everyone.', 'atlas', this)">
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<span class="play-icon">►</span> Play atlas
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</button>
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</div>
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<pre><code class="python">from openai import OpenAI
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client = OpenAI(
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api_key="not-needed",
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base_url="https://speech.ai.unturf.com/v1"
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)
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client.audio.speech.create(
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voice="aria",
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input="Raccoon mission. We dig through abandoned repos and rescue the best open source speech models before they disappear."
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).stream_to_file("aria.mp3")
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client.audio.speech.create(
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voice="atlas",
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input="Five engines, one API. Self-host it, clone any voice, speak ten languages. No vendor lock-in, no API keys, no limits."
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).stream_to_file("atlas.mp3")</code></pre>
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<h3>Browse Voices & Models</h3>
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<p>Every voice has a name, a gender, and a personality. The API tells you exactly what's available.</p>
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<p><a href="https://speech.ai.unturf.com/v1/voices" target="_blank"><strong>→ See all voices</strong></a> <a href="https://speech.ai.unturf.com/v1/models" target="_blank"><strong>→ See all engines</strong></a></p>
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<h2>The Five Engines</h2>
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<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>
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<h3><a href="/tts/voice-cloning.html">Qwen3-TTS</a> — <mark>Live</mark></h3>
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<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>
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<h3><a href="/tts/fast-synthesis.html">Piper TTS</a> — <small>Self-host</small></h3>
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<p>100+ English voices, CPU-only, ONNX runtime. The fastest engine in the dumpster — built for high-volume batch jobs and real-time applications where latency matters most.</p>
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<h3><a href="/tts/hd-cloning.html">XTTS v2</a> — <small>Self-host</small></h3>
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<p>Clone any voice from a 6-second sample across 16 languages. The highest fidelity option, rescued from the Coqui TTS project. Needs a GPU with ~4GB VRAM.</p>
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<h3><a href="/tts/multilingual-cpu.html">Silero TTS</a> — <small>Self-host</small></h3>
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<p>148 voices across 5 languages, all running on CPU. English, Russian, German, Spanish, and French. Clean 48kHz output, no GPU required.</p>
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<h3><a href="/tts/lightweight.html">Kokoro TTS</a> — <small>Self-host</small></h3>
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<p>82 million parameters, 34 voices. Small enough for a Raspberry Pi or an edge device. Apache 2.0 licensed, 24kHz output.</p>
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<h2>Self-Hosting</h2>
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<p>Clone the repo, deploy, and you have your own production TTS API. All five engines are included — enable whichever ones you need.</p>
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<pre><code class="bash">git clone https://git.unturf.com/engineering/unturf/uncloseai-speech.git
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cd uncloseai-speech
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# Deploy with GPU (Qwen3-TTS, default)
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make deploy
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# Or CPU-only (works anywhere, slower)
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make deploy-cpu
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# Download 42+ cloned voice samples from LibriSpeech
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make voices-qwen
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# Test it (Qwen3-TTS model ~3.4GB downloads automatically on first use)
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make test
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# Enable additional engines
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make voices-piper # Piper TTS
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make voices-xtts # XTTS v2
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make voices-silero # Silero TTS
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make voices-kokoro # Kokoro TTS</code></pre>
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<p>For full documentation, see the <a href="https://git.unturf.com/engineering/unturf/uncloseai-speech" target="_blank">uncloseai-speech repository</a>.</p>
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<h2>Get Involved</h2>
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<p>We run a free public endpoint at <code>https://speech.ai.unturf.com/v1</code> but we need help scaling:</p>
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<ul>
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<li><strong>Donate GPU Time:</strong> Run an instance, we'll load-balance community traffic</li>
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<li><strong>Host Regional Mirrors:</strong> Reduce latency for users in your region</li>
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<li><strong>Integrate New Engines:</strong> StyleTTS2, Fish Speech, Chatterbox are on the roadmap</li>
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<li><strong>Add Voice Samples:</strong> Expand the voice library with diverse accents</li>
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</ul>
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<h2>Resources</h2>
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<ul>
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<li><strong>Repository:</strong> <a href="https://git.unturf.com/engineering/unturf/uncloseai-speech" target="_blank">git.unturf.com/engineering/unturf/uncloseai-speech</a></li>
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<li><strong>API Endpoint:</strong> <code>https://speech.ai.unturf.com/v1</code></li>
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<li><strong>Voices:</strong> <a href="https://speech.ai.unturf.com/v1/voices" target="_blank">speech.ai.unturf.com/v1/voices</a></li>
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<li><strong>Models:</strong> <a href="https://speech.ai.unturf.com/v1/models" target="_blank">speech.ai.unturf.com/v1/models</a></li>
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</ul>
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<h2>Questions & Community</h2>
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<p>Ask questions, share your deployments, or discuss TTS research below!</p>
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</footer>
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</main>
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</body>
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</html>
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