Calik AI vs Kokoro TTS
Calik AI
calik.io
Kokoro TTS
github.comSide by side
| Figure | Calik AI | Kokoro TTS |
|---|---|---|
| Price from | $10/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 3 | 1 |
| Spec score · Text-to-Speech Software | 9.0 (#8) | 8.6 (#41) |
| Spec score · Text-to-speech tools | 8.7 (#36) | 8.6 (#48) |
| API access | Yes | Yes |
| Export formats | MP3 | WAV |
| Free plan | Yes | Yes |
| Integrations | The platform describes GitHub repository access for agents and lists GitHub integration among its AI Center tools. | The maker provides examples using Google Colab and points to a Hugging Face demo; the model page also lists inference providers and notebooks. |
| Languages | 60 | 8 |
| Platforms | The site lists web, Windows, macOS, and Linux as available today; it says native Android and iOS apps are in progress. | web,windows,macos,linux,api,self_hosted |
| Support | The Free plan includes live and mail support, Premium includes priority live and mail support, and Ultra includes 24/7 support and a named account manager. | The repository links to a Discord community for Kokoro users and contributors. |
| Voice cloning | Yes | No |
Plans
In their own words
Kokoro TTS
Kokoro TTS is an open-weight text-to-speech model with 82 million parameters. It uses a decoder-only architecture built with StyleTTS 2 and ISTFTNet, and supports eight languages. In the documented Python pipeline, users can choose a voice and adjust speech speed; generated audio is 24 kHz and can be saved as WAV. The kokoro.js library runs the model locally in a browser through Transformers.js, also documents Node CPU use, and supports streaming speech as text is added. The model weights use the Apache license, and commercial use is listed as permitted. The maker describes Kokoro as lightweight and more cost-efficient than larger models while delivering comparable quality. Python installation uses kokoro, soundfile, and espeak-ng, with Misaki handling grapheme-to-phoneme processing. The README includes Windows setup guidance for espeak-ng and Apple Silicon GPU instructions for macOS M1 through M4. Examples point to Google Colab and a Hugging Face demo. Kokoro is free, with a free plan listed at free.