second-state

second-state / kitten_tts_rs

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A Rust port of KittenTTS — ultra-lightweight ONNX-based text-to-speech.

vibekeys.dev
39
4
100% credibility
Found Mar 21, 2026 at 40 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

A lightweight standalone program that converts written text into high-quality spoken audio using small downloadable voice packs and built-in voices.

How It Works

1
🔍 Find Kitten TTS

You hear about a super lightweight tool that turns everyday text into natural-sounding spoken words with different voices.

2
🛠️ Set up your computer

Install a free helper program that helps with correct pronunciation, easy on any Mac, Linux, or Windows machine.

3
📥 Grab a voice collection

Choose a small voice pack like mini or nano and download its files to a folder, they're tiny and ready to use.

4
💻 Download the speech maker

Get the single ready-to-run program from the releases page that fits right on your desktop.

5
🎤 Make text talk

Point it to your voice files, type in some words, pick a fun voice like Bruno or Luna, tweak the speed, and hit go.

6
🔊 Hear the audio file

In seconds, it creates a clear sound file you can play in any music player.

✅ Voices at your fingertips

Now you can bring any text to life with realistic speech, great for stories, videos, or just having fun.

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Star Growth

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AI-Generated Review

What is kitten_tts_rs?

kitten_tts_rs is a Rust port of KittenTTS, delivering ultra-lightweight text-to-speech via ONNX models sized 25-80MB. It spits out 24kHz WAV audio from text using a dead-simple CLI: `kitten-tts model_dir "Hello world" Bruno --speed 1.2 --output out.wav`. Ditch Python's bloat for a single 10MB portable atomic Rust binary that runs on Linux, macOS, Raspberry Pi, or phones, with espeak-ng as the only external dep.

Why is it gaining traction?

It crushes Python TTS setups with 100ms startup vs 2s imports and no 500MB envs, plus optional GPU accel via Cargo features like CUDA or CoreML. Rust GitHub Actions cache and workflows make builds a breeze in rust github ci pipelines. Devs dig the edge-ready footprint for rust portable windows or embedded, beating heavier alternatives like Piper or Coqui.

Who should use this?

Rust CLI scripters automating voiceovers in rust github workflow scripts. Embedded engineers deploying TTS on rust ports or rust portable boombox devices. Devs in rust github api clients needing quick speech feedback without dep hell.

Verdict

At 39 stars and 1.0% credibility, it's raw and unproven—light tests, no broad platform coverage—but killer docs and releases make it prototype-ready. Grab if lightweight Rust TTS fits; skip for production until more battle scars.

(178 words)

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