- Offload computationally intensive text matching for real-time highlighting to a dedicated Web Worker, ensuring the main thread remains responsive during playback.
- Implement a new overlay-based highlighting system that renders independently of the PDF's text layer, providing smoother and more reliable visual feedback without interfering with document rendering.
- Introduce a new setting allowing users to enable or disable real-time text highlighting in PDFs, offering personalized control over the reading interface.
- Upgrade the underlying text comparison algorithm to Dice similarity for more accurate and context-aware matching of spoken words to on-screen text, improving synchronization precision.
- Improve sentence boundary detection, especially for quoted dialogue and complex structures, by enhancing the NLP processing logic, leading to a more natural audio-text flow.
Replaces custom IndexedDB implementation with Dexie ORM, eliminating 850+ lines of
boilerplate code and introducing reactive live queries across all document types.
Transforms document management from imperative refresh patterns to automatic
reactive updates using dexie-react-hooks.
Simplifies TTS backend by removing concurrency semaphore while maintaining
request de-duplication through in-flight tracking. Streamlines document hooks
by removing manual state management and refresh methods.
Updates package dependencies and type definitions to support new database
architecture while maintaining full backward compatibility for existing
documents and settings.
BREAKING CHANGE: Document hooks no longer expose refresh() methods as updates
are now reactive through live queries.
introduce configurable smart sentence splitting with persisted state,
UI toggle, and EPUB/PDF contexts that send continuation metadata.
enhance TTS pipeline to merge cross-page sentences, manage carryover,
and trigger visual page changes during playback for smoother narration.
update README with kokoro quick-start guidance, remove the legacy
issues mapping doc, and add deterministic TTS mocks plus sample audio
for Playwright tests.
- Introduce voice utils (model detection, voice parsing/weights, limits)
- Enable Kokoro multi-voice strings across OpenAI/Deepinfra/custom providers
- Normalize non-Kokoro voices to single token for SDK calls
- Expose full Kokoro voice list for custom-openai Kokoro models
- Update TTS API to return audio as ArrayBuffer and improve logging
- Add multi-select UI for Kokoro voices with provider-based clamping
- Preserve Kokoro voice strings in TTSContext and coalesce restarts
- Merge multi-sentence quoted dialogue in NLP sentence splitter
- Update tests for single and multi-voice selection flows
Add comprehensive multi-provider TTS support enabling users to choose between OpenAI, Deepinfra, and custom OpenAI-compatible endpoints. Implement provider-specific voice management with automatic voice restoration per provider-model combination, and migrate package manager to pnpm for improved dependency handling.
Key changes:
- Add TTS provider selection (OpenAI, Deepinfra, custom-openai) in settings UI
- Implement provider-specific model and voice lists with dynamic fetching
- Add voice persistence per provider-model combination in savedVoices
- Support Deepinfra models: Kokoro-82M, Orpheus-3B, Sesame-1B with their voice libraries
- Migrate to pnpm with frozen lockfile for reproducible builds
- Update Docker configuration to use pnpm and Deepinfra API defaults
- Add migration logic for existing users to infer provider from stored baseUrl
- Update test helpers and Playwright configuration for Deepinfra API
- Add example docker-compose.yml with Kokoro-FastAPI integration
BREAKING CHANGE: Voice selection is now provider-model specific. Previously saved voices will be migrated to the new savedVoices structure, but users may need to reselect voices if switching providers.
