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OuteTTS Review

OSS

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).

Among the 46 text-to-speech tools we track, OuteTTS has the 18th-widest language coverage.

See pricing

Facts verified Jul 20, 2026Website →

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

Capabilities
Capabilities facts
Instant voice cloning✓ YesJul 20
Languages supported23 languagesJul 20
Compliance & trust
Compliance & trust facts
Self-host / on-prem option✓ YesJul 20
Model weights licenseApache-2.0 (OuteTTS-1.0-0.6B)Jul 20
Build experience
Build experience facts
Official SDKsPython (pip 'outetts')Jul 20
Commercial
Commercial facts
Model size (parameters)1B (Llama-OuteTTS 1.0) and 0.6B (OuteTTS 1.0Jul 20
Hardware to self-hostRuns via llama.cpp (CUDAJul 20
Project maintenance statusactive (low activity)Jul 20
GitHub stars1,435 starsJul 20

Considering 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 →