Fully Offline
All processing happens on your Mac. No uploads, no cloud servers, no data leaves your machine.
No internet. No uploads. Any voices.
See it in action
See Spokio in action.
Why Spokio
A local-first TTS app that keeps your workflow fast, private, and predictable.
All processing happens on your Mac. No uploads, no cloud servers, no data leaves your machine.
Clone any voice from a short sample. Zero-shot cloning means you only need seconds of audio.
Run speech tasks in the background while you keep working. No blocking, no waiting.
Includes high-quality, natural-sounding voices with realistic prosody and emotional range.
Queue hundreds of jobs and export an entire folder at once while you work on other things.
Built to leverage the Neural Engine on M-series chips for fast, efficient inference.
Performance grows with your hardware. More powerful Mac means faster generation, no limits.
Generate speech anywhere — on a plane, in a cabin, or wherever your workflow takes you.
Simple pricing
No subscriptions required. Pay once, own it forever — or go monthly.
Great for short clips. No credit card needed.
For writers, podcasters, and anyone converting more than a few lines a day.
Got questions
From the blog
The five open-source TTS models worth your time in 2026 — Fish Audio S2 Pro, Chatterbox, Kokoro, Qwen3-TTS, and Orpheus — ranked by quality, speed, voice cloning, and real-world deployability.
Inworld, ElevenLabs, Google Gemini, OpenAI, Cartesia, MiniMax, Azure, and Amazon Polly compared by quality (TTS Arena Elo), pricing, latency, voice cloning, and language coverage.
Kokoro, Orpheus, Piper, and XTTS-v2 compared with real code, performance numbers, and deployment tradeoffs for developers running TTS on their own machines.
kokoro-ios, speech-swift, and mlx-audio compared with real Swift code examples and performance numbers for running TTS locally on Apple Silicon Macs.
The three-stage text-to-speech pipeline, Llama backbone, alignment-informed inference, flow-matching decoder distillation, emotion exaggeration control, and PerTh watermarking.
Dual-track LM architecture, 12Hz multi-codebook tokenizer, 97ms streaming latency, 3-second voice cloning, voice design, and training on 5M+ hours of speech data across 10 languages.
