zotero-kokoro-server 0.1.0

Local OpenAI-compatible Kokoro TTS server with browser UI, designed for Zotero Read Aloud

zotero-kokoro-server

A local Kokoro TTS server with an OpenAI-compatible API and browser UI, designed for Zotero Read Aloud.

Features

• OpenAI-compatible API — POST /v1/audio/speech and GET /v1/voices
• Browser UI at http://localhost:8880 — voice playground, stats dashboard, voice upload
• In-memory audio cache — repeated requests are served instantly
• Voice upload — drop a .pt voice file in the UI to add new voices
• Works fully offline after initial model download

Requirements

• Python 3.10–3.12 (Kokoro does not yet support 3.13+)

Install

pip install zotero-kokoro-server

Run

zotero-kokoro-server

Then open http://localhost:8880 in your browser to access the UI.

Options:

--host          Bind address (default: 127.0.0.1, env: KOKORO_HOST)
--port          Port (default: 8880, env: KOKORO_PORT)
--default-voice Default voice ID (default: af_heart, env: KOKORO_DEFAULT_VOICE)
--repo-id       Hugging Face repo (default: hexgrad/Kokoro-82M, env: KOKORO_REPO_ID)
--cache-size    Max in-memory audio cache entries (default: 256)

The first run downloads model weights (~300MB) from Hugging Face. After that it runs offline. To pre-cache everything and then go fully offline:

# Run once online to cache model + SpaCy language model
zotero-kokoro-server

# Subsequent runs can use offline mode
HF_HUB_OFFLINE=1 zotero-kokoro-server

Configure Zotero

In Zotero, open Edit → Preferences → Advanced → Config Editor and set:

Preference	Value
extensions.zotero.reader.readAloudLocal.enabled	true
extensions.zotero.reader.readAloudLocal.baseURL	http://127.0.0.1:8880
extensions.zotero.reader.readAloudLocal.protocol	openai
extensions.zotero.reader.readAloudLocal.openAIPath	/v1/audio/speech
extensions.zotero.reader.readAloudLocal.voicesPath	/v1/voices

Then open a PDF in the Reader and use the Read Aloud toolbar button.

API

# Health check
curl http://127.0.0.1:8880/health

# List voices
curl http://127.0.0.1:8880/v1/voices

# Synthesize
curl -X POST http://127.0.0.1:8880/v1/audio/speech \
  -H 'Content-Type: application/json' \
  -d '{"voice":"af_heart","input":"Hello world","response_format":"wav"}' \
  --output out.wav

# Server stats
curl http://127.0.0.1:8880/api/stats

# Clear audio cache
curl -X POST http://127.0.0.1:8880/api/cache/clear

License

MIT