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Earnote

Earnote is an open-source recording, transcription, and note-making app for lectures, meetings, and calls on Mac, iPhone, and iPad. It creates structured notes, study materials, and exports, with local processing available on compatible devices.

Earnote

Recording and note-making for lectures and meetings

Earnote is an open-source recording, transcription, and note-making app for Mac, iPhone, and iPad. It is designed for lectures and meetings: record microphone and system audio, follow a live transcript where available, and receive a shorter note containing the main topics, decisions, and tasks rather than only a raw transcript.

The app supports a local workflow using Whisper and downloaded AI models, with recordings, transcripts, and notes kept on the device or in the user folder. Depending on the device and setup, notes can also be produced through a Mac connected via the user's iCloud or through optional cloud AI services. Outputs include editable notes, flashcards, PDF study sheets, transcript-linked audio, and exports to note and task apps.

Features

Live transcription and structured notes

Earnote captures microphone and system audio, displays a live transcript during recording, and turns the recording into a concise note with summaries, topics, decisions, and tasks.

Study materials

Generate question-and-answer flashcards, edit them in the note, export them to Anki, and save a formatted study sheet as a PDF.

Transcript-linked playback

Click transcript timestamps to replay the corresponding audio, keep playback highlighted while reading, and view the note and transcript side by side with ⌘3.

Local-first processing

Run transcription with Whisper and local note generation on a compatible Mac. The app also supports optional cloud AI providers, with a warning when text will leave the device.

Names and terminology dictionary

Create dictionaries for names, module titles, and technical terms so corrections apply to titles, notes, and transcripts and are supplied to Whisper and the AI.

Areas, search, and exports

Organize work into areas with separate colors, AI instructions, and export targets; search across transcripts and send notes or tasks to supported destinations.

Use cases

  • Lecture capture and exam revision

    Record a lecture from a Mac or place an iPhone on the desk, then review a structured summary, topics, tasks, flashcards, and a PDF study sheet after class.

  • Course and subject organization

    Keep the note and transcript together while replaying exact moments from the recording. A subject area can hold its own instructions, terminology, and semester overview.

  • Meeting notes and follow-up

    Capture online discussions with microphone and system audio, then turn decisions and follow-up tasks into notes and send tasks to Apple Reminders, Things, or Todoist.

  • Personal knowledge management

    Use calendar naming, searchable transcripts, terminology dictionaries, and exports to Notion, Obsidian, Logseq, Apple Notes, Bear, Craft, or Markdown for an existing personal workflow.

  • Privacy-conscious transcription

    Choose local processing for offline work or configure a supported cloud AI provider when needed, while reviewing the app's notice before text leaves the Mac.

Pros and Cons

Pros

  • Local transcription and note generation can work offline on compatible devices.
  • The app keeps audio, transcripts, and notes in the user's folder and reports no analytics or crash-report telemetry.
  • It combines recording, structured notes, playback, study materials, search, and exports in one workflow.
  • It is free on Mac and open source under the MIT license, with no account or subscription required for the Mac version.

Cons

  • The Mac app requires macOS 15 or newer, Apple Silicon, and about 8 GB of memory; Windows support is not planned.
  • Local setup requires several gigabytes of model downloads, and processing is slower in Low Power Mode.
  • Some iPhone and iPad capabilities are paid through a one-time Earnote Pro purchase, although the source does not state the price.

FAQ

What does Earnote require on Mac?

On Mac, Earnote requires macOS 15 or newer, an Apple Silicon Mac with an M1 chip or later, and about 8 GB of memory. On first launch, it downloads a speech model of about 1.6 GB and a local AI model of about 2.3 GB.

Can Earnote take notes during online meetings?

Yes. Earnote can capture microphone and system audio together and recognize Zoom, Teams, and Meet calls. It asks whether to take notes and can stop when the call ends.

How does Earnote handle privacy and cloud AI?

The Mac app can transcribe locally with Whisper and generate notes with a model downloaded to the device. Audio, transcripts, and notes remain in the user's folder and are not synced. Optional cloud providers such as Claude, OpenAI, Gemini, or a custom server can be selected when text may leave the Mac.

What can Earnote produce and where can it send the results?

Earnote creates summaries, topics, decisions, tasks, flashcards, and a PDF study sheet. Notes can be exported to Notion, Obsidian, Logseq, Apple Notes, Bear, Craft, or a Markdown folder; tasks can be sent to Apple Reminders, Things, or Todoist.

Is Earnote free?

The Mac version is free, and the project is open source under the MIT license. iPhone and iPad users can buy Earnote Pro as a one-time purchase; the source does not provide a price.

Quick Facts

Category
Transcription and productivity
Platforms
macOS 15+ on Apple Silicon; iPhone and iPad; Windows not planned
Primary uses
Lectures, meetings, calls, and study notes
Processing
Local Whisper transcription and on-device AI, with optional cloud AI
Outputs
Notes, transcripts, flashcards, PDF study sheets, and task exports
License and pricing
Open source under MIT; Mac version free; iPhone/iPad Pro available as a one-time purchase