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Turn meeting audio into
minutes that actually ship.

audien·to is an AI audio tool that turns a meeting recording into ready-to-ship minutes — context, decisions, action items with owners and deadlines, next steps — in about a minute. Unlike raw transcription, it separates what was decided from what was discussed. Free tier, 67 languages, no signup, audio auto-deleted in 72 hours.

Drop the recording and we’ll write the decisions, assign the action items, and list the next steps — tagged by speaker and ready to paste into Notion, Confluence, or Linear.

● Record
Drop audio here
or click to choose a file · up to 2h · auto-deleted in 72h
LANGUAGE
required · 67 supported
What you'll get
  • Decisions
  • Action items
  • Next steps
Speakers auto-tagged. Tweak any section after upload from the Options panel — no setup needed up front.
The guide

Why good minutes matter

The meeting is the cheap part. The expensive part is everything that happens — or doesn’t — after it. Minutes are the handoff from a live discussion to the work that follows it.

Good minutes are short. They say what was decided, who owns what, and when the next checkpoint is — so anyone who missed the meeting can act without asking a follow-up question.

What good minutes contain

  • Decisions — what was agreed, in one line each.
  • Action items — owner, deadline, and deliverable.
  • Next steps — what happens before the next meeting.
  • Context — a short note on why — so future you remembers.

How audien·to structures yours

What lands in the doc

  • Decisionsone line per agreement. Stated outcome, not the discussion that led there.
  • Action itemsowner · deliverable · deadline — never “the team,” always a name.
  • Next stepswhat unblocks the next meeting. Distinct from action items: these are checkpoints, not work.
  • Open questionsitems that didn’t close — these become the next meeting’s agenda.
  • Context note1–2 sentences on why a decision was made, so a reader six months later doesn’t reopen it.

Writing minutes well

  • Lead with the decisionthe first line a reader sees should be what was agreed. Discussion goes in context, not above it.
  • One owner per actionif it’s shared, split it. “Ada and Chen will…” means neither will.
  • Date every commitmenteven if it’s “this week” — vague dates become missed deadlines.
  • Capture the unansweredthe question that stalled the meeting is more valuable than the ones that resolved.
  • Skip the play-by-playminutes are not transcripts. If a reader needs full context, they can open the recording.

Knobs in the Options panel

  • Depth5-line tl;dr (status updates) · standard minutes · full report (board / external).
  • Toneneutral · direct (default for engineering syncs) · formal (board / legal).
  • Filler trimremove ums, restarts, off-topic detours — on by default.
  • Speaker citationsby name · by role (PM / EM / Designer) · timestamped — pick what helps the reader, not the writer.
  • Action-item detectionstrict (only “I will” / “Can you…”) · loose (also catches implied commitments).
  • Risks & blockersfold into context (default) · break out into their own list (good for status decks).
Why this works

Why modern AI hears what older tools missed

When you upload audio, two AIs go to work. The first one listens. It learned from millions of hours of real speech — accented, overlapping, full of “ums” and brand names that didn’t exist five years ago — so it can hear “Klaviyo,” “Substack,” or “the GPT pipeline” without flinching. The words older tools used to silently mangle come back right.

It hears in context. Instead of guessing one sound at a time, it takes in the whole sentence and uses everything around a tricky word to figure out what was actually said. That’s how a brand-new product name still lands correctly: the words around it tell the AI what kind of sentence it’s in.

And it cleans as it goes. Disfluency — “uh, like, I think… yeah” — doesn’t drop the rest of the sentence on the floor. Punctuation and capitalization come built in, so what you read is prose, not a wall of lowercase. By the time it hands off, the transcript already looks like what a careful typist would have given you.

What happens once we have your words

A raw transcript is the floor, not the ceiling. The second AI reads the whole document the way a careful editor would. It groups related discussion into chapters even when nobody says “moving on.” It surfaces the quote you’d actually screenshot — not the longest sentence on the page. It separates a decision from a tangent, an action item from a passing wish.

That’s the jump older tools couldn’t make: they gave you words, we give you shape. A meeting becomes minutes with owners, dates, and resolved questions. A podcast becomes show notes whose chapters track the real narrative, not the nearest five-minute mark. A voice memo becomes a send-ready email in your voice — not a list of fragments to stitch back together.

Each tool on this page is one of those pairings — the same listening AI up front, the same writing AI behind it, shaped for one specific output. You don’t pick. You don’t tweak. A thirty-second upload comes back as the thing you actually wanted, ready to use.