pyopenjtalk
A python wrapper for OpenJTalk
Decision gist · record as of 2026-08-14
Yes, with conditions. Install if you need Japanese TTS or linguistic processing and can meet the compilation requirements (C/C++ toolchain, cmake, cython). The MIT license is permissive. However, the package is aging (493 days since last release) and has high install friction due to compilation dependencies. Verify that pre-built wheels are available for your platform before committing to installation, as building from source can be time-consuming.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires C/C++ compilers, cmake, and cython installed before pip install.
- Python >= 3.8 required.
- High install friction: requires C/C++ compilers, cmake, and cython to build from source.
License · maintenance · safety
permissive license (permissive) — MIT license permits commercial and private use with minimal restrictions. The underlying OpenJTalk and htsvoice components carry different licenses (Modified BSD and others); review the bundled license files before deploying.
last release 2025-04-08 (493 days) · last repo commit 2025-04-08 · 256 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 83,149 downloads/mo, #14,097 on PyPI
Alternatives
Verify before relying
pip install pyopenjtalk
import pyopenjtalk
x, sr = pyopenjtalk.tts("こんにちは")
pyopenjtalk.g2p("こんにちは")- Whether pre-built wheels are available for all supported platforms or if compilation is always required.
- Current state of marine (DNN-based accent estimation) feature and whether it is actively maintained.
- Performance characteristics and latency for real-time TTS use cases.
What it is and what it does
pyopenjtalk is a Python binding for OpenJTalk, a Japanese linguistic analysis and speech synthesis engine. It provides three main capabilities: text-to-speech synthesis that converts Japanese text to audio waveforms, grapheme-to-phoneme conversion that translates written Japanese to phonetic representations, and full-context label extraction for advanced linguistic processing. The package wraps modified versions of OpenJTalk and hts_engine_API to provide a unified interface for Japanese language processing tasks.
The package depends on numpy for numerical operations, tqdm for progress indication, and importlib_resources for resource management. It requires C/C++ compilation at install time, which means you must have a compiler toolchain, cmake, and cython available. The core use case is building Japanese speech synthesis systems, linguistic analysis pipelines, or text-to-speech applications that need accurate Japanese phonetic and prosodic processing.
Use it for
- Build a Japanese text-to-speech system that converts written Japanese to natural-sounding speech audio.
- Extract phonetic representations and linguistic features from Japanese text for speech processing research.
- Create a Japanese pronunciation guide or phonetic transcription tool using grapheme-to-phoneme conversion.
- Develop a voice assistant or spoken dialogue system with Japanese language support.
- Process Japanese text with custom dictionaries for domain-specific pronunciation handling.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, with conditions.
Install if you need Japanese TTS or linguistic processing and can meet the compilation requirements (C/C++ toolchain, cmake, cython). The MIT license is permissive. However, the package is aging (493 days since last release) and has high install friction due to compilation dependencies. Verify that pre-built wheels are available for your platform before committing to installation, as building from source can be time-consuming.
Install
pyopenjtalk on PyPI
Before you install
High install friction: requires C/C++ compilers, cmake, and cython to build from source. The package has not been updated in 493 days and is marked as aging, though the repository remains active with recent commits.
Requires C/C++ compilers, cmake, and cython installed before pip install. Python >= 3.8 required.
License in practice
MIT license permits commercial and private use with minimal restrictions. The underlying OpenJTalk and htsvoice components carry different licenses (Modified BSD and others); review the bundled license files before deploying.
Quickstart
pip install pyopenjtalk
import pyopenjtalk
x, sr = pyopenjtalk.tts("こんにちは")
pyopenjtalk.g2p("こんにちは")Verify before relying
- Whether pre-built wheels are available for all supported platforms or if compilation is always required.
- Current state of marine (DNN-based accent estimation) feature and whether it is actively maintained.
- Performance characteristics and latency for real-time TTS use cases.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | High. Source build required |
| Runtime dependencies | 3 packagesimportlib_resourcesnumpytqdm |
| Maintenance | Aging 493 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 83,149 / month, #14,097 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: MIT LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: POSIXOperating System :: UnixProgramming Language :: CythonProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.8Programming Language :: Python :: 3.9Topic :: Scientific/EngineeringTopic :: Software Development |
Evidence: pyopenjtalk-0.4.1.tar.gz
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See also misaki · g2p-en · kokoro-onnx · piper-tts · ko-speech-tools · pyobjc-framework-Speech · g2pkk · gTTS · coqui-tts · chatterbox-tts