{"categories":[{"label":"Linguistic","url":"https://skillfed.io/packages/category/text-processing-linguistic"}],"enrichment":{"capability":"Kokoro is an inference library for the Kokoro-82M text-to-speech model, enabling you to generate spoken audio from text in multiple languages with a lightweight, open-weight neural network.","skillfed_tags":["text-to-speech","neural-tts","multilingual"],"use_cases":["Generate speech from long-form text in Jupyter notebooks or Colab for prototyping and testing voice synthesis.","Build a multilingual chatbot or voice assistant that speaks in multiple languages with preset voice profiles.","Create audiobook or podcast narration pipelines by splitting text and synthesizing each section with consistent voice.","Deploy a lightweight TTS service in resource-constrained environments where model size and inference speed matter.","Experiment with different voice profiles and languages without managing model weights or phoneme rules manually."],"what_it_does":"Kokoro is a Python wrapper around the Kokoro-82M text-to-speech model, a lightweight neural network with 82 million parameters designed to generate natural-sounding speech from text. It handles phoneme conversion, voice synthesis, and audio generation in a single pipeline, supporting multiple languages (American English, British English, Spanish, French, Hindi, Italian, Japanese, Brazilian Portuguese, and Mandarin Chinese) through language-specific codes and optional misaki extensions.\n\nThe library is built for both interactive use (Jupyter notebooks, Google Colab) and production deployment. It depends on torch for inference, transformers for model loading, huggingface-hub for downloading weights, and misaki for grapheme-to-phoneme conversion. Audio output is generated at 24000 Hz sample rate. The model weights are Apache-licensed, making it suitable for commercial and personal projects without licensing friction.","worth_installing":"Yes, with conditions. Install kokoro if you need a lightweight, open-weight TTS model for prototyping or production use and can tolerate the aging maintenance status (last release 496 days ago). The Apache license is permissive, install friction is low, and the package has solid community adoption. However, verify that the preset voices and supported languages meet your needs, and be aware that torch and transformers are heavy dependencies. If you require active development or frequent updates, check the repository first."},"id":"kokoro","links":{"html":"https://skillfed.io/packages/kokoro","md":"https://skillfed.io/packages/kokoro.md","pypi":"https://pypi.org/project/kokoro/"},"maintenance":{"status":"aging"},"meta":{"latest_release":"2025-04-05","license_spdx":null,"license_treatment":"permissive","name":"kokoro","python_support":"capped_below_current","summary":"TTS"},"popularity":{"monthly_downloads":622780,"position":5708,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.9.4"}