Files
Bohdan Triapitsyn 391f938334 feat(voice): match local and macOS voices to the language of the text
Text-to-speech picked one voice regardless of what language a reply was in.
A dependency-free language detector (script, marker letters, function words)
now decides the language of the whole message once; with the new
"Match the voice to the language of the text" setting the local provider
switches to a catalog model for that language (Kokoro zh/en and Piper models
for 12 languages, downloaded on first use like the existing model) and macOS
say switches to an installed voice whose locale matches. The local voice
picker lists voices of every installed model, and the settings show which
language models are on disk.

The Ukrainian Piper medium build is a character-level model that sherpa-onnx
turns into noise, so the espeak-based Lada build is used instead.

Claude-Session: https://claude.ai/code/session_017TK5JAYDfT3Fotc23UEg98
2026-08-30 02:24:22 +03:00

7.7 KiB

TTS Module Documentation

Purpose

This module provides server-side Text-to-Speech services using OpenAI's TTS API. The historical shared text summarization endpoint now lives in packages/web/server/lib/text/ as an API-compatible stub because the previous Zen model provider is unavailable.

Entrypoints and structure

  • packages/web/server/lib/tts/index.js: Public entrypoint imported by packages/web/server/index.js.
  • packages/web/server/lib/tts/routes.js: Express route registration for /api/voice/*, /api/tts/*, and /api/stt/* endpoints.
  • packages/web/server/lib/tts/capability-runtime.js: runtime helper for probing local macOS say TTS voice capability.
  • packages/web/server/lib/tts/service.js: TTS service implementation with OpenAI integration.
  • packages/web/server/lib/text/summarization.js: Shared text summarization stub and sanitization utilities. It performs no external Zen calls.
  • packages/web/server/lib/tts/stt.js: STT proxy for OpenAI-compatible transcription endpoints.
  • packages/web/server/lib/tts/base-url.js: shared base URL validation and normalization for custom OpenAI-compatible endpoints.
  • packages/web/server/lib/tts/language-detect.js: dependency-free language detection for voice selection (detectTextLanguage, pickVoiceForLanguage, languageOfLocale). Used by the macOS say route (language: 'auto' switches to an installed voice whose locale matches the text; the response carries X-Speech-Voice and X-Speech-Language) and by the dictation module's local TTS model choice.

Public exports

TTS Service (from service.js)

  • ttsService: Singleton instance of TTSService class.
  • TTSService: TTS service class for OpenAI audio generation.
  • TTS_VOICES: Array of supported OpenAI voice identifiers.

Shared text summarization (re-exported from ../text/summarization.js)

  • summarizeText({ text, threshold, maxLength, zenModel, mode }): Retired shared text summarizer retained as a stub. TTS uses mode: 'tts'; zenModel is ignored.
  • sanitizeForTTS(text): Sanitizes text by removing markdown, URLs, file paths, and other non-speakable content.
  • sanitizeForNote(text): Re-exported for note-mode callers that still import through the TTS surface.

Capability runtime (capability-runtime.js)

  • detectSayTtsCapability(processLike): probes local say -v "?" support and returns { available, voices, reason }.

Constants

Voice identifiers

  • TTS_VOICES: Array of supported OpenAI voices: ['alloy', 'ash', 'ballad', 'coral', 'echo', 'fable', 'nova', 'onyx', 'sage', 'shimmer', 'verse', 'marin', 'cedar'].

Summarization defaults

  • No model request timeout is used; the summarization provider is disabled.

Default values

  • summarizeText defaults: threshold = 200, maxLength = 500, mode = 'tts'. zenModel is ignored.
  • generateSpeechStream defaults: voice = 'coral', model = 'gpt-4o-mini-tts', speed = 1.0.
  • generateSpeechBuffer defaults: voice = 'coral', model = 'gpt-4o-mini-tts', speed = 1.0.

TTSService methods

isAvailable()

Returns boolean indicating whether OpenAI API key is configured (checks environment variable OPENAI_API_KEY or OpenCode auth file).

generateSpeechStream(options)

Generates speech and returns as a web stream for direct streaming to clients.

  • Options: text (required), voice, model, speed, instructions, apiKey.
  • Returns: { stream: ReadableStream, contentType: 'audio/mpeg' }.
  • Throws: Error if API key not configured or text is empty.

generateSpeechBuffer(options)

Generates speech and returns as Buffer for caching purposes.

  • Options: text (required), voice, model, speed, instructions.
  • Returns: Buffer containing MP3 audio data.
  • Throws: Error if API key not configured or text is empty.

Response contracts

summarizeText

Returns object with:

  • summary: Sanitized or locally distilled fallback text.
  • summarized: Always false while the model provider is unavailable.
  • reason: String explaining why summarization was skipped.
  • originalLength: Optional number for original text length.
  • summaryLength: Optional number for summarized text length.

The route-level text summarize API is now /api/text/summarize.

sanitizeForTTS

Returns sanitized string with markdown, URLs, file paths, and special characters removed.

generateSpeechStream

Returns object with:

  • stream: ReadableStream of MP3 audio data.
  • contentType: Always 'audio/mpeg'.

generateSpeechBuffer

Returns Buffer containing MP3 audio data.

API key resolution

OpenAI API keys are resolved in order:

  1. Environment variable OPENAI_API_KEY.
  2. OpenCode auth file (auth.openai, auth.codex, or auth.chatgpt).
  3. Supports both string format (just token) and object format (with access or token fields).

Usage in web server

The TTS module is used by packages/web/server/index.js for:

  • Generating speech streams for client playback.
  • Generating speech buffers for caching.
  • Sanitizing text before TTS synthesis. Historical summarization calls now return local fallback text.
  • Sanitizing text to remove non-speakable content.

The historical summarization API is shared with notifications and notes, but currently acts as a no-model fallback/stub.

The server-side TTS approach bypasses mobile Safari's audio context restrictions by generating audio on the server and streaming to clients.

Notes for contributors

Adding new TTS features

  1. Add new methods to packages/web/server/lib/tts/service.js TTSService class.
  2. Export public functions from packages/web/server/lib/tts/index.js.
  3. Follow existing patterns for API key resolution and error handling.
  4. Ensure all text is sanitized before TTS synthesis.
  5. Consider adding new voice options to TTS_VOICES constant.

Text sanitization

  • Always call sanitizeForTTS on text before passing to TTS generation.
  • The sanitization removes markdown, code blocks, URLs, file paths, shell commands, and special characters.
  • This prevents the TTS from reading out technical formatting that sounds unnatural.

Error handling

  • generateSpeechStream and generateSpeechBuffer throw descriptive errors for missing API keys or empty text.
  • summarizeText does not call Zen and returns mode-specific fallback text with summarized: false.
  • All errors are logged to console with [TTSService] or [Summarize] prefix.

API key management

  • TTSService caches OpenAI client instance and recreates when API key changes.
  • API key changes are detected by comparing with _lastApiKey property.
  • This allows dynamic API key updates without server restart.

Testing

  • Run bun run type-check, bun run lint, and bun run build before finalizing changes.
  • Test API key resolution with environment variable and auth file.
  • Test speech generation with various text lengths and voice options.
  • Test summarization stub behavior above and below threshold.
  • Test sanitization with markdown, URLs, and code blocks.
  • Verify streaming and buffer generation produce valid MP3 audio.

Verification notes

Manual verification

  1. Configure OpenAI API key via environment variable or OpenCode settings.
  2. Test ttsService.isAvailable() returns true.
  3. Call ttsService.generateSpeechStream({ text: 'Hello world' }) and verify stream is returned.
  4. Call ttsService.generateSpeechBuffer({ text: 'Hello world' }) and verify Buffer is returned.
  5. Test summarizeText with text above and below threshold.
  6. Test sanitizeForTTS with markdown, URLs, and code blocks.

API endpoint verification

  1. Start web server and access TTS endpoint via client.
  2. Verify audio plays correctly in browser.
  3. Test on mobile Safari to verify bypass of audio context restrictions.
  4. Test with long messages to verify summarization is triggered.