Clear for Slack

The core loop is simple. You record a voice note in the Slack app on your phone, and Clear turns it into a short, scannable message. The point isn't transcription for its own sake. It's turning a three-minute ramble into something a teammate can skim in ten seconds, which is why Clear pushes length and clarity rather than word-for-word accuracy. So what happens to the audio? It's gone once the message is written.

Clear uses fine-tuned language models to preserve your intent and tone while tightening the message. Names, acronyms, and technical terms stay intact, so "the Q3 API migration" doesn't get smoothed into vague mush. That detail retention matters more than elegant prose when your team needs to act on what you actually said in a meeting you're already late for.

Voice notes are transcribed, refined, and then deleted. Clear states that audio and text aren't stored, and no logs are kept as training data. If your workplace is cautious about what gets sent to an AI tool, this is the feature you'll care about most. Confirm it against your company's own policy anyway.

You don't have to be on mobile to use Clear. Type /clr in any Slack channel or message and get the same refinement for typed text. It's the fallback for when you're at a desk but still want a shorter, clearer version of a draft before it goes out into a busy channel where nobody reads long paragraphs anyway.

Each refinement can come with optional tips explaining what changed, with references to BLUF (bottom line up front) and KISS (keep it short and simple). Over time you learn what makes a message land, so your first drafts get tighter without the tool doing all the work.

On the Team plan, Clear adds per-workspace usage controls and priority AI routing for faster responses, plus dedicated support for rollout and training. For teams that want clarity as a default rather than a personal habit, these controls matter.