CaptionKit: CaptionKit is an AI-powered platform that generates real-time captions and multilingual translations for live spoken sessions, built primarily for churches and faith-based services. 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 CaptionKit when providing live captions for deaf and hard-of-hearing attendees during services or events matters most, and Meeting Transcriber when recording and summarizing teams, zoom, or webex calls without inviting a cloud meeting bot matters most. Try them side by side on real calls before deciding — needs vary by team.
CaptionKit is an AI-powered platform that generates real-time captions and multilingual translations for live spoken sessions, built primarily for churches and faith-based services.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
CaptionKit is a browser-based platform that produces live, AI-generated captions and translations during spoken sessions, designed primarily for churches and other faith-based organizations serving deaf, hard-of-hearing, and multilingual audiences. A host starts a captioning session from the web dashboard, and the system transcribes speech in 65+ languages and translates it into 85+ languages, including a bilingual English and Spanish mode. Attendees follow along by joining a shared web link or QR code, or through the free iOS and Android apps; captions can also be displayed on screen as lower-third overlays or full-screen scrolling text. It integrates with common presentation and streaming software including ProPresenter, OBS, vMix, FreeShow, and Worship Extreme, and supports automation via cURL and Bitfocus Companion. Accuracy can be improved with boosted keywords for names and uncommon terms, and the platform records session history. No installation is required, making it suited to live in-person or streamed events where on-screen accessibility and language access matter.
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
CaptionKit 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 | CaptionKit | Meeting Transcriber |
|---|---|---|
| Core capability | Real-time AI speech-to-text captioning in 65+ languages | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | Live translation into 85+ languages, including bilingual English/Spanish mode | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | Attendee access via web link, QR code, or free iOS and Android apps | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | On-screen display options (lower-third overlays, full-screen scrolling captions) | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | Integrations with ProPresenter, OBS, vMix, FreeShow, and Worship Extreme | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | Boosted keywords to improve accuracy for names and uncommon terms | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
CaptionKit
Choose CaptionKit if you need providing live captions for deaf and hard-of-hearing attendees during services or events — strengths include browser-based with no installation required for hosts or attendees.
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.
CaptionKit
Meeting Transcriber
It depends on your workflow. CaptionKit is strong for providing live captions for deaf and hard-of-hearing attendees during services or events, 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.
CaptionKit 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.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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