Kokoro TTS

Pick Kokoro if the use case is offline, high-volume, or privacy-constrained English TTS with a fixed voice. The download is ~300MB, runs on a laptop, and costs nothing past electricity. Community ONNX builds ship in 88MB-310MB size variants for mobile and browser deployment.

Skip it if the job needs voice cloning, fine-grained emotion control, or real-time streaming. ElevenLabs keeps the quality ceiling and the voice-library breadth. Cartesia owns low-latency conversational use cases. MiniMax Speech undercuts ElevenLabs on price for multilingual workloads that still want a hosted API.

Kokoro’s moat is size-efficiency, not features. The 82M parameter count means laptop-local inference at commercial-grade quality for a narrow slice of jobs.

• No voice cloning. Fixed pre-trained voices only. Custom-voice work requires a different model.
• Prosody is basic. No fine-grained emotion sliders. Tone is controlled mainly by text wording and punctuation.
• No streaming. Full audio generates before playback. Latency is not viable for real-time agent loops.
• English quality leads; other languages lag. The 8-language v1.0 list is functional but native-speaker critique can show gaps against specialist models.
• No hosted first-party API. Third-party providers (Together, Replicate) exist, but there is no vendor SLA.
• Scam-domain risk. The official model card warns that Kokoro-looking root domains are not owned by or affiliated with the model author unless linked from the official source. Avoid entering credentials or payment details on lookalike sites.
• CPU runs are real-time, GPU is 10-20x faster. Long-document batches on CPU get slow.
• Community-driven release cadence. Version bumps depend on hexgrad’s time. Update frequency is irregular.

This page was produced by the aipedia.wiki editorial pipeline, an automated system that ingests vendor documentation, verifies claims against primary sources, and generates the editorial analysis shown here. No individual human wrote this review. Scoring follows the four-dimension rubric at /about/scoring/ (Utility, Value, Moat, Longevity, unweighted average). Last verified 2026-06-25 against the Kokoro-82M Hugging Face repo, VOICES.md, hexgrad GitHub, and onnx-community Kokoro-82M-v1.0-ONNX builds.

Is Kokoro free for commercial use? Yes. The model is Apache 2.0 licensed, which allows commercial use without royalties (Hugging Face).

How does Kokoro compare to ElevenLabs? Kokoro matches ElevenLabs on fixed-voice English narration quality in blind TTS Arena tests. ElevenLabs still wins on voice cloning, emotion sliders, real-time streaming, and language breadth. Kokoro wins on cost (free vs per-character) and privacy (local vs hosted).

How do I run Kokoro? pip install kokoro soundfile. The current GitHub README uses kokoro>=0.9.4 in examples. Basic inference:

from kokoro import KPipeline
pipeline = KPipeline(lang_code='a')
audio, _ = pipeline("Your text here.", voice='af_heart')

ONNX builds exist for deployment outside Python (onnx-community).

How many voices and languages does Kokoro support? The official v1.0 release table lists 54 voices across 8 language groups: English (US, UK), Spanish, French, Hindi, Italian, Japanese, and Mandarin Chinese. The current GitHub README also shows a Brazilian Portuguese language-code example, so production multilingual buyers should test the exact voicepack and library version rather than relying on a simple language count. See the VOICES.md reference for the full list.

Which Kokoro website is official? Use the Hugging Face model card and the linked hexgrad/kokoro GitHub repository as the source of truth. The model card warns that Kokoro-looking third-party root domains are not owned by or affiliated with the author unless the official model page links them.

Can Kokoro clone my voice? No. Kokoro supports fixed voices only. For zero-shot voice cloning from a short reference clip, use ElevenLabs, Fish Audio, or MiniMax Speech.

• Kokoro-82M on Hugging Face: official model, voicepacks, documentation
• Kokoro VOICES.md: canonical voice/language reference
• hexgrad GitHub: source code and Python library
• Kokoro-82M-v1.0-ONNX: community ONNX builds for mobile and browser
• Together AI hosted Kokoro-82M: hosted API pricing reference

• Category: AI Voice
• Compare: ElevenLabs · Cartesia · MiniMax Speech