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Introducing AI Workspaces: ask questions across every transcript at once

You have thirty hours of interviews. Or twelve depositions. Or a quarter’s worth of customer calls. The transcript for any one of them is right there in Sonix — but the answer you actually need is scattered across all of them.

Skimming isn’t a strategy. Ctrl-F isn’t either.

AI Workspaces is a new way to ask questions across your transcripts and get answers grounded in what was actually said — with a link back to the exact moment in the recording.

What it does

  • Ask anything, across everything. Drop a stack of recordings into a workspace and ask a question in plain English. The answer pulls from every transcript in the workspace at once.
  • Every answer cites its source. Responses link to the specific recording and timestamp where the information came from. Click the citation, jump straight to the moment, hear it for yourself.
  • Pre-built prompts for common work. One click to extract action items, surface key themes, list decisions made, flag open questions, summarize each speaker, or read the room’s sentiment.
  • Conversations that stick around. Threads are saved, so your forskning builds up over time instead of disappearing when you close a tab.
  • Answers grounded in your transcripts. Responses are built from what’s actually in your recordings — not generic knowledge from the open web.

A few ways people are using it

  • Lawyers querying weeks of deposition transcripts to find every mention of a contract clause — with citations ready for the brief.
  • UX researchers rolling up 40 user interviews into themes, pain points, and verbatim quotes without rewatching a single session.
  • Journalister working a long investigation across dozens of source interviews, tracing who said what and when.
  • Product teams turning a quarter of customer calls into a prioritized list of feature requests and objections.
  • Consultants pulling action items and decisions out of a year of client meetings before a renewal.
  • Academics running thematic analysis across study participant interviews — with the receipts to back up every finding.

Get started

AI Workspaces is available today for Sonix subscribers.

Open AI Workspaces →

Stephen Hopkins

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