Wispr Flow

Meeting notes that get the names and numbers right

Beginner

What is Wispr Flow?

Wispr Flow is an AI mistress tool. Wispr Notetaker records meetings, transcribes them with attention to names and jargon, and produces topic organized summaries with decisions, timelines and next steps. It supports live catch up prompts, search across past meetings, and export of meeting history to MCP compatible AI assistants.

Wispr Notetaker is a meeting recorder and note generator that joins your calls, captures the transcript, and turns the conversation into a structured summary. Its emphasis is accuracy on the details that generic transcription usually mangles: unusual names, industry jargon, product terms, and the specific commitments people make. The system leans on your personal dictionary and calendar so that a reference to Siobhan, Tableau, or a Miro board lands correctly in the notes rather than as a phonetic guess. In practice, one button joins and records. The recorder catches back to back meetings and calls that never appeared on your calendar, and it works across Google Meet, Teams, and Huddles, plus in person conversations. After the call you get a transcript, a summary organized by topic, and extracted decisions, timelines and next steps. Two live features set it apart during a call: a "What did I miss?" prompt that summarizes the last few minutes when attention drifted, and an ask anything box that searches your prior meeting notes and the web, then links back to the source it used. It suits people who live in meetings and need reliable records rather than raw transcripts: founders, sales and product teams, consultants, and podcasters conducting long interviews. Because meeting history is queryable, the tool becomes a searchable memory of past conversations, and that history can be piped into Claude, ChatGPT, Gemini or any MCP compatible assistant so notes sit alongside your documents and projects. Migration from Granola or Otter imports prior meeting history with source, date, summary and transcript intact. Among notetakers, Wispr Flow competes on detail accuracy and follow through rather than on integrations with every conferencing platform. Organizations get controls to switch Notetaker on or off company wide and an optional consent acknowledgment before recording.

How do you use Wispr Flow?

  1. 1Download Wispr Flow for your desktop
    Install the app on Mac or Windows, or the mobile version on Android, to get the Notetaker alongside Flow dictation.
  2. 2Connect your calendar and build your dictionary
    Link your calendar so scheduled calls are recognized, and add unusual names and jargon so transcripts capture them correctly.
  3. 3Start recording with one button
    Join and record with a single click; back to back calls and unscheduled conversations can be captured the same way.
  4. 4Review the transcript and summary
    After the call, open the topic organized summary to check decisions, timelines and next steps against the full transcript.
  5. 5Ask questions across past meetings
    Use the ask anything box to query earlier notes, and check the source links it returns before relying on an answer.
  6. 6Import history when switching tools
    If you are coming from Granola or Otter, run the import so prior meetings keep their source, date, summary and transcript.

Pros and cons

Pros

  • Calendar and dictionary context help it spell uncommon names and industry terms correctlyAI
  • Live "What did I miss?" summary covers the last few minutes without interrupting the callAI
  • Questions are answered from prior meeting notes and the web, with source linksAI
  • Import from Granola or Otter preserves meeting date, source, summary and transcriptAI
  • Admin controls let organizations disable Notetaker or require consent acknowledgmentAI

Cons

  • Homepage gives no pricing figures, so cost has to be confirmed before committing a teamAI
  • Meeting history is queryable across past calls, which raises real data governance questionsAI
  • Detailed capture depends on your dictionary and calendar being kept currentAI
  • It is tied to the Wispr Flow product line, so it is not a standalone notes app you can adopt on its ownAI
  • No published list of supported conferencing platforms beyond Meet, Teams and HuddlesAI

How much does Wispr Flow cost?

Support

Enterprise privacy and admin controls are documented on a dedicated page covering organization wide Notetaker access and optional consent acknowledgment.

Learn more

Integrations

Meeting history connects to Claude, ChatGPT, Gemini and any tool supporting MCP. Recording covers Google Meet, Teams, Huddles and in person conversations. Prior history can be imported from Granola and Otter.

Features

Automatic recording from a single button, including back to back and unscheduled calls. Transcripts with dictionary and calendar context for names and jargon. Topic organized summaries covering decisions, timelines and next steps. In call "What did I miss?" catch up summaries. Questions answered across past meeting notes and the web with source links. MCP export to Claude, ChatGPT and Gemini. Import from Granola and Otter. Admin controls for organization wide access and consent acknowledgment.

Frequently asked questions about Wispr Flow

  • How do you use Wispr Flow?
    The walkthrough on this page covers 6 steps: 1. Download Wispr Flow for your desktop 2. Connect your calendar and build your dictionary 3. Start recording with one button 4. Review the transcript and summary 5. Ask questions across past meetings 6. Import history when switching tools.
  • What platforms does Wispr Flow support?
    Wispr Flow is available on MacOS, Windows, Android and Web App.
  • What does Wispr Flow integrate with?
    Meeting history connects to Claude, ChatGPT, Gemini and any tool supporting MCP. Recording covers Google Meet, Teams, Huddles and in person conversations. Prior history can be imported from Granola and Otter.
  • What are the limitations of Wispr Flow?
    Homepage gives no pricing figures, so cost has to be confirmed before committing a team. Meeting history is queryable across past calls, which raises real data governance questions. Detailed capture depends on your dictionary and calendar being kept current.