The Voice-First Workspace That Turns Audio Into Organised Next Steps

The core unWarp workflow is a single gesture: record. Everything after that happens automatically. The platform transcribes the audio, removes filler words, applies a personal pronunciation dictionary to handle names and jargon correctly, and generates a title, a one-line summary, and relevant tags — all before you've done anything else. Action items are extracted at the same pass. Deadlines, assignees, and follow-ups mentioned anywhere in the recording surface as structured tasks, not buried inside a transcript wall. For a founder who just finished a 45-minute client call or a consultant walking out of a strategy session, this means the meeting's work product is ready without a single manual editing step. Folders can be set to auto-file notes based on content, or configured manually — the organisational overhead is low either way. The net result is a voice library that behaves like a structured knowledge base rather than an archive of audio files nobody revisits.

Most meeting transcription tools work by joining your call as a participant: a named bot enters the meeting room, records everything, and sends the transcript later. It works, but it comes with costs. Other participants see the bot. In informal calls, client introductions, or sensitive conversations, a bot presence changes the dynamic. unWarp takes the opposite approach. You record your own audio — directly from your device, from an ambient mic during an in-person meeting, or via unWarp Cast's push-to-talk layer — and the transcription happens on that recording. No third-party bot enters the meeting. The output is the same structured transcript and action items, but the capture method involves only your own device. For consultants, lawyers, coaches, and founders who have calls where bot participation would be awkward or inappropriate, this is not a feature — it is the primary reason to choose unWarp over alternatives. Whether and how to disclose recording to other participants is a question of jurisdiction and context, not unWarp's architecture.

Transcription tools that stop at text output create a different problem: a growing archive of notes that is hard to search accurately. If you said 'we should revisit the pricing model in Q4' during a call three months ago, a keyword search for 'pricing' returns everything with the word pricing, not the specific commitment you made. unWarp's semantic search layer finds notes by meaning. A query for 'Q4 pricing discussion' surfaces the relevant recording regardless of the exact phrasing used. The exact-phrase search handles the complementary case — when you know the specific wording and want precision. Both search modes include a jump-to-moment feature: rather than scanning a full transcript to locate the context around a result, one tap takes you to the precise timestamp in the original audio. For consultants building a library of client calls, a query for 'renewal discussion' surfaces the relevant conversation even if those exact words weren't used — the semantic layer finds the concept, not just the phrase. This turns unWarp into a queryable memory rather than a filing cabinet.

Most note-taking and transcription tools are linear. A transcript is a document. A summary is a list. unWarp adds a visual layer that most voice-first tools omit entirely: AI-assisted mind maps and a freehand canvas available on any note. The mind-mapping feature lets you drag out idea cards from any transcript and link them with labelled arrows — the AI can extend a brainstorm by suggesting connections or adding branches from the note's content. The canvas adds drawing tools for diagrams and annotations directly on top of the note. For product managers who think in flows, researchers organising interview themes, or founders mapping competitive positioning after a strategy call, this keeps all the post-processing work inside the same tool where the original capture happened. The transcript, the extracted tasks, and the visual map of the thinking are in one place, not split across a transcription tool, a to-do app, and a whiteboard.

unWarp is built for people who generate high volumes of verbal thinking and currently lose most of it. That maps to four primary users. Founders and operators who live in back-to-back meetings benefit most from the no-bot capture combined with action item extraction — the day's commitments surface automatically rather than requiring a manual review of notes that may not have been taken. Consultants and coaches conducting regular client calls get a searchable archive of every conversation, with commitments and follow-ups structured consistently across every engagement without additional admin time. The semantic search layer means a query for 'renewal discussion' surfaces the relevant call even if different words were used at the time. Researchers and writers who record interviews, field notes, or voice memos during thinking walks get a knowledge base that is semantically searchable — the idea you had on Tuesday resurfaces when it becomes relevant on Friday. Teams using the €8/seat tier (minimum 2 seats) get the full individual feature set plus shared workspaces, real-time collaborative mind maps, a shared pronunciation dictionary, shared folders, speaker labels on meeting recordings, and 50 hours of transcription per seat per month.