1.6.0
skaldlabs/skald1.6.0Dec 15, 2025by Kieirra
AI Summary
This release introduces local LLM connectivity via Ollama and advanced text formatting rules, transforming Murmure into a more versatile tool. It also adds a Toggle-to-Talk mode, sound feedback, and experimental support for Intel-based macOS.
Key Highlights
- Major LLM Connect feature with Ollama for post-processing transcriptions
- Formatting Rules for automatic text transformations
- Toggle-to-Talk mode as an alternative to push-to-talk
- Experimental Intel-only macOS build
- Fixed transcription pipeline to ensure post-processing triggers correctly
New Features
- Formatting Rules (trailing spaces, text-to-numbers, find/replace)
- Toggle-to-Talk Mode
- Sound Feedback
- Improved UI notifications
- Dictionary configuration migration
- Experimental macOS build
Full Release Notes
### ✨ New Features - **(Major) LLM Connect** — Connect Murmure to a local LLM (Ollama) to enhance, correct, or reformat transcriptions through post‑processing. Includes presets for translation, medical dictation, development, and automatic reformulation. - **(Major) Formatting Rules** — Automatic text transformations: add trailing spaces, insert spaces before `?!`, convert text-to-numbers, or apply custom find/replace rules. - **Toggle-to-Talk Mode** — New alternative to push‑to‑talk: press once to start recording, press again to stop. Thanks to @nicolascrop. - **Sound Feedback** — Audio cues when starting and stopping a recording. ### ♻️ Refactor - Improved UI notifications. - Backend refactor aligned with SRP principles. - Dictionary configuration migration in preparation for import/export support. Thanks to @icristescu. ### 🐛 Bug Fixes - Fixed overlay misalignment with fractional display scaling. Thanks to @flomillot (PR #73). - Fixed a transcription pipeline issue where processing would stop when the transcription was empty, preventing dictionary rules, formatting rules, and LLM post‑processing from being triggered. ### 🧪 Experimental - Added an **experimental macOS build (Intel architecture only)**. ### 🙌 Thanks Special thanks to our beta testers: @HachetAmaury, @Grujowmi, and @aparrot.