OuteTTS Review
OSSThe llama.cpp-native option: runs via GGUF on CUDA/ROCm/Vulkan/Metal and even in the browser (Transformers.js). License splits by model: the 0.6B (Qwen3-based) is Apache-2.0, the 1B Llama-based flagship is CC-BY-NC-SA-4.0 (non-commercial).
Among the 46 text-to-speech tools we track, OuteTTS has the 18th-widest language coverage.
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What we know about OuteTTS
OuteTTS sits in the text-to-speech apis category, where it is the llama.cpp-native option: runs via GGUF on CUDA/ROCm/Vulkan/Metal and even in the browser (Transformers.js). License splits by model: the 0.6B (Qwen3-based) is Apache-2.0, the 1B Llama-based flagship is CC-BY-NC-SA-4.0 (non-commercial). We keep this OuteTTS profile grounded in primary sources, each fact dated to when we last confirmed it.
OuteTTS does not publish a public per-minute rate we have been able to verify, so the price figure here stays blank until we can confirm one. We would rather show nothing than a guessed number; if you have a current OuteTTS quote, it is the fastest way for us to close that gap.
On capabilities, OuteTTS covers instant voice cloning and self-host / on-prem option. Each of those is verified against OuteTTS's own docs or dashboard, not marketing copy.
Among the 46 text-to-speech tools in our matrix, OuteTTS leads with the 18th-widest language coverage; the fact sheet below has the raw numbers behind that placement.
In total we track 9 verified facts for OuteTTS today, each linking the primary source it came from so you can check our work - and vendor claims we have not measured ourselves are labeled as such on the OuteTTS fact sheet below.
Reviewed by vsref Editorialfacts verified Jul 20, 2026Methodology →
Fact sheet
Every row independently verifiedConsidering a switch? Best OuteTTS alternatives →
STT in this stack
Text-to-speech is half of a voice pipeline: the other half is the speech-to-text that listens. Compare transcription engines on accuracy, streaming latency, and per-minute price: Deepgram, AssemblyAI, GPT-4o Transcribe, or the full speech-to-text comparison →
Voice agents in this stack
The engine is one layer: a voice agent speaks through its text-to-speech engine, but orchestration, telephony, and turn-taking come from the agent platform. Compare the platforms builders pair OuteTTS with: Pipecat, OpenAI Realtime API, Twilio ConversationRelay, or the full voice-agent comparison →
Distribute it
Most OuteTTS voiceover ends up in short-form video, and publishing that video across TikTok, YouTube, and Instagram is a scheduling problem with real per-channel pricing. Compare the schedulers creators actually run: Buffer, Postiz, Mixpost, or the social media scheduling platforms compared →
Avatar video in this stack
A cloned or bring-your-own OuteTTS voice does not have to stay audio-only: AI avatar video platforms lip-sync it onto a talking avatar for finished video. Compare the platforms: HeyGen, Synthesia, Hedra, or the full avatar-video comparison →