AudioDiary: AudioDiary is an AI-powered voice journaling app that records spoken entries, transcribes them, and generates summaries and reflective insights. Meeting Transcriber: Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist AudioDiary when keeping a daily reflective journal by speaking instead of typing matters most, and Meeting Transcriber when recording and summarizing teams, zoom, or webex calls without inviting a cloud meeting bot matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
AudioDiary is an AI-powered voice journaling app that records spoken entries, transcribes them, and generates summaries and reflective insights.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
AudioDiary, made by Soliloquy Apps Limited, is a voice journaling application that lets users capture thoughts by speaking instead of typing. Users record an audio entry and the app automatically transcribes it and applies AI to produce summaries, reflections, suggested goals, mood tracking, and pattern visualization over time. It also offers dream analysis, custom tagging, themes, and the ability to attach photos to entries. Captured content can be exported as audio, transcripts, images, or PDF, and entries can be edited after recording. Its "Session Designer" lets users personalize or disable AI features, and extracted goals can sync to Google Calendar. The app is available across iOS, iPad, Mac (including Apple Vision), and the web, with synchronization between platforms. Recordings are encrypted in transit and at rest, with data stored via established cloud providers, and the company states it does not sell or monetize journal entries. It is aimed at individuals seeking a reflective, spoken personal journaling and self-tracking habit rather than business meetings.
Best suited for
Meeting Transcriber is an open-source, local-first meeting transcriber for macOS, distributed under the MIT license and developed in the open on GitHub (pasrom/meeting-transcriber) with its own product site at meetingtranscriber.app. It runs as a menu bar application that automatically detects and records calls on Teams, Zoom, and Webex, capturing the meeting app's audio and your microphone as separate tracks so that transcription and speaker separation stay clean. Transcription happens fully on-device using one of three selectable speech-recognition engines: WhisperKit (covering 99+ languages), Parakeet TDT v3 (25 European languages with a small, fast model), or Qwen3-ASR (30 languages, requiring macOS 15+). It performs dual-track diarization and can recognize recurring speakers by storing voice embeddings across meetings and matching them with cosine similarity. After a meeting, it can generate a structured Markdown protocol containing a summary, participants, topics discussed, decisions, tasks, open questions, and the full transcript, using either the Claude Code CLI, any OpenAI-compatible endpoint such as Ollama or LM Studio, or a transcript-only mode with no LLM. Because everything runs locally, audio, transcripts, and summaries stay on the user's Mac. It installs via Homebrew Cask and requires macOS 14.2 or later. Pricing varies by plan. Check the official website for current pricing.
Best suited for
AudioDiary is a free tier with paid upgrades (freemium); Meeting Transcriber is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | AudioDiary | Meeting Transcriber |
|---|---|---|
| Core capability | Voice recording with automatic AI transcription | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | AI-generated summaries, reflections, and suggested goals | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | Mood and dream tracking with pattern visualization over time | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | Customizable or disablable AI via a 'Session Designer' | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | Export of audio, transcripts, images, and PDF; editable transcripts | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | Cross-platform sync across iOS, Mac, Apple Vision, and web | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
AudioDiary
Choose AudioDiary if you need keeping a daily reflective journal by speaking instead of typing — strengths include captures journaling hands-free by speaking, with automatic transcription.
Meeting Transcriber
Choose Meeting Transcriber if you need privacy-conscious professionals who want meeting transcripts and notes kept on their own mac — strengths include fully open source under the mit license with development in the open on github.
AudioDiary
Meeting Transcriber
It depends on your workflow. AudioDiary is strong for keeping a daily reflective journal by speaking instead of typing, while Meeting Transcriber is strong for privacy-conscious professionals who want meeting transcripts and notes kept on their own mac. Both transcribe and summarize meetings.
AudioDiary is a free tier with paid upgrades and Meeting Transcriber is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Often yes: teams combine tools when one handles capture and another handles analysis.
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