Summary

The project team is prioritizing the speech-to-text voice pipeline as a top priority to launch by mid-March, with the UI redesign for the editor deferred until this critical workstream completes. Custom dictionary features approved for medical and legal terminology support the team's focus. Action items involve Sarah migrating the frontend to the new component library by sprint end, Alex refining the API to target sub-200ms latency, and Gabriel securing Q2 budget approval. Design review is scheduled for next Tuesday at 2pm. Crucial open questions include determining whether to use CRDTs over Time-based OTs for real-time collaboration, conducting an audit of third-party dependencies, and deciding between local-first or queue-based sync strategies for mobile operations. The developers have already explored privacy-first options, noting that data remains theirs and that API keys may replace cloud keys, though they remain curious about the cost implications of OpenWhispr. They have also identified that OpenWhispr supports multiple platforms and languages, with the core logic appearing open source for potential contributions. The project aims to ship this core feature before any other workstream, with Slack product teams and external integrations like AI Chat and Notepad also integrated into the ecosystem.

This comprehensive roadmap outlines the strategic steps to ensure a successful launch, from high-priority pipeline delivery to refining internal communication channels and addressing potential technical challenges before public release.

Title

OpenWhispr | Open Source Voice to Text & Dictation App

Description

Open source voice-to-text that runs on your computer. Powered by OpenAI Whisper and NVIDIA Parakeet. Free, works offline, available on macOS, Windows, and Linux.

Keywords

local, open, voice, source, features, notes, chat, audio, text, cloud, whisper, models, meeting, slack, free, teams, data

NS Lookup

A 216.198.79.1

Dates

Created 2026-04-15

Updated 2026-04-15

Summarized 2026-04-25