Otter.ai alternatives for recording meeting notes

Compare Meetily, Scriberr and WhisperX for meeting transcripts. Choose live desktop capture, a recording library or word-aligned audio processing.

Otter.ai turns meetings into transcripts and AI-assisted notes that you can revisit and search. It is useful when a conversation needs a written record without someone typing every exchange. Replacing its recording and transcription workflow is different from recreating all the collaboration features of a hosted meeting service.

Meetily captures calls on your device without adding a bot, then creates summaries with a local or selected cloud model. Scriberr suits a self-hosted library of recordings with synchronized text, playback and notes. WhisperX is the more technical option for word-aligned transcripts and speaker labels. These Otter.ai alternatives separate live meeting capture from processing recordings afterward.

A local AI meeting assistant for macOS and Windows that transcribes offline with Whisper or Parakeet and summarizes through Ollama or cloud providers.

Screenshot of Meetily website

Meetily suits recording a call and seeing a transcript without a meeting bot joining. Recording and transcription run locally; summaries can use Ollama or a chosen cloud API.

A local AI meeting notetaker that captures audio without a call bot, keeps records on your device by default and supports local or optional hosted AI.

Screenshot of Anarlog (formerly Hyprnote) website

Hyprnote, now Anarlog, keeps meeting notes, transcripts and editable summaries together on your device. Capture call audio without inviting a bot and use a local model server for meeting questions and summaries.

A self-hosted transcription app that turns recordings into searchable notes, with WhisperX speaker recognition and local or cloud transcription.

Screenshot of Speakr website

Speakr replaces the meeting-record library with searchable transcripts, summaries and timestamp-linked questions on your server. Speaker-aware playback, folders and sharing permissions suit reviewing conversations after capture.

4.1KAGPL-3.0DockerWeb

Open-source dictation software for macOS, Windows, Linux and iOS, with offline transcription using local models or optional cloud processing.

Screenshot of OpenWhispr website

OpenWhispr detects desktop calls, transcribes and labels speakers on-device, and organizes searchable meeting notes. It suits Otter users who also want dictation, calendar connections and AI actions on recordings; cloud sync and sharing are optional.

An offline transcription app for Mac and Windows that uses Whisper, labels speakers, and runs meeting summaries and chat locally.

Screenshot of Scrieb website

Scrieb covers recording calls, separating speakers and reviewing transcripts through summaries or meeting chat. It captures system audio without a joining bot and exports the text to documents for reports or notes.

Local AI transcription app for macOS that works offline, records meetings without bots, and connects to optional cloud services.

Screenshot of MacWhisper website

MacWhisper covers meeting capture and transcript editing on a Mac. Record microphone or system audio, search across speakers and recordings, then export a document or subtitles for follow-up work.

A self-hosted transcription app turns audio and video into text offline with Whisper, NVIDIA Parakeet or Canary, with optional Ollama transcript chat.

Screenshot of Scriberr website

Scriberr suits a self-hosted recording library with timed transcripts, playback and notes. Transcript questions can use Ollama or an optional hosted provider.

An offline speech-to-text app for iPhone, iPad and Apple Silicon Macs that keeps audio on-device and adds speaker labels and local summaries on Mac.

Screenshot of Whisper Notes website

Whisper Notes suits recorded interviews, lectures and meetings, with speaker labels and timestamps you can review. You can import audio or record in the app; Mac users also get transcript summaries and questions.

Local transcription app runs offline on macOS, Windows and Linux, with speaker labels, subtitle exports and transcript analysis through Ollama.

Screenshot of Vibe website

Vibe suits converting live or recorded conversations into editable text. It supports microphone and system audio, speaker labels and transcript summaries through Ollama, with exports for sharing the result.

A local-first macOS transcription app that captures files, microphone and app audio, with translation and subtitle export.

Screenshot of Whisper Mate website

Whisper Mate covers microphone and selected-app audio with transcripts that appear as the recording plays. A waveform editor lets you choose sections for transcription or export them as clips. Its focus is capture and editing rather than meeting summaries.

An offline transcription app for Windows and macOS that turns recordings into text and translated subtitles, with local speaker labels and GPU acceleration.

Screenshot of Memo AI website

Memo AI covers reviewing interview and meeting recordings with speaker labels, playback subtitles and floating notes. You can select audio segments and export transcripts or captions. Transcript summaries require a separately configured model API.

A local speech-to-text app runs offline on Windows, macOS and Linux, with speaker labels, live dictation and CPU or GPU processing.

Screenshot of TranscriptionSuite website

TranscriptionSuite records microphone or system audio and imports audio or video files for transcription. Supported models add speaker labels, and you can export text or timed subtitles; available language and translation features depend on the model.

Local AI transcription app turns interviews into multilingual transcripts on Windows, macOS and Linux, with speaker identification and an editor.

noScribe suits recorded interviews that need careful transcript review. It identifies speakers and includes an editor for checking the wording before analysis or quotation, rather than joining and recording calls automatically.

An open-source offline transcription app for Windows, Linux and macOS that uses Whisper and keeps recordings and transcripts on your device.

aTrain suits recorded interviews that need speaker labels and timestamped transcripts. Its exports connect text to audio in qualitative research tools such as MAXQDA and ATLAS.ti, rather than handling a live meeting workspace.

An on-device voice transcription and notes app for Android and iOS that uses Whisper offline after model download, with a free GPL-3.0 F-Droid edition.

Screenshot of Notely Voice website

Notely Voice transcribes recordings into editable Android notes with folders, tags and text search. This comparison covers the Whisper-based F-Droid edition; the Google Play app has a separate codebase and product experience.

810GPL-3.0Android

An on-device transcription app uses Whisper on macOS, iOS and visionOS to turn recordings into text, with English translation and subtitle exports.

Screenshot of Aiko website

Aiko transcribes completed meetings, lectures or voice recordings and exports text or subtitles. Recording and Shortcuts workflows suit Apple mobile users; it does not label speakers or provide live meeting transcription.

Open-source local speech-to-text software that uses Whisper models, adds word-level timestamps and optionally labels speakers.

WhisperX suits processing recorded interviews or meetings with word-level alignment and optional speaker labels. It is a transcription tool rather than a shared meeting workspace.

25KBSD-2-ClausemacOSWindowsLinux

For Otter.ai, start with Meetily. Other alternatives include Anarlog (formerly Hyprnote), Speakr, OpenWhispr and Scrieb.

Most are Speech-to-Text and Transcription; others include Meeting Notes and Transcription.

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