Feishu Minutes: ByteDance's Feishu/Lark feature that transcribes audio and video into searchable minutes with AI summaries and to-dos. 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. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Feishu Minutes when feishu/lark users generating searchable minutes from video meetings matters most, and Meeting Transcriber when recording and summarizing teams, zoom, or webex calls without inviting a cloud meeting bot matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
ByteDance's Feishu/Lark feature that transcribes audio and video into searchable minutes with AI summaries and to-dos.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
Feishu Minutes (飞书妙记, known as Lark Minutes outside mainland China) is the AI meeting-minutes capability built into Feishu, the collaboration platform developed by ByteDance. It turns audio and video content from meetings, training sessions, interviews, and classes into searchable, structured text notes. The product automatically transcribes video conferences into a verbatim transcript, uses voiceprint recognition to attribute speech to individual speakers, and can transcribe both live meetings and uploaded external audio or video files. Its intelligent minutes feature produces three components: a meeting summary, a to-do list, and chapter-based notes, and it can automatically detect and handle Chinese, English, and Japanese within a meeting. Real-time captions and live AI summaries are available during recording. Because it is embedded in the Feishu ecosystem, transcripts and minutes integrate with the platform's calendar, tasks, and documents for smoother collaboration, and notes can be searched, translated, and shared across devices. Feishu and its international counterpart Lark operate independently with separate data storage. As a feature of a widely used enterprise platform from a major technology company, it is actively maintained and available to Feishu users. Pricing varies by plan. Check the official website for current pricing.
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
Feishu Minutes 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 | Feishu Minutes | Meeting Transcriber |
|---|---|---|
| Core capability | Automatic transcription of video conferences into searchable transcripts | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | Voiceprint-based speaker identification | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | Transcription of both live meetings and uploaded audio/video files | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | Intelligent minutes with summary, to-do list, and chapter notes | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | Automatic handling of Chinese, English, and Japanese in a meeting | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | Real-time captions and live AI summaries during recording | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
Feishu Minutes
Choose Feishu Minutes if you need feishu/lark users generating searchable minutes from video meetings — strengths include deeply integrated into the feishu/lark collaboration ecosystem.
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.
Feishu Minutes
Meeting Transcriber
It depends on your workflow. Feishu Minutes is strong for feishu/lark users generating searchable minutes from video meetings, 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.
Feishu Minutes 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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