Acta.ai: India-built AI meeting assistant that joins calls, transcribes, and produces role-specific summaries, decisions, and action items. 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. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Acta.ai when sales discovery calls that need deal briefs and follow-up tasks 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.
India-built AI meeting assistant that joins calls, transcribes, and produces role-specific summaries, decisions, and action items.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
Acta.ai is an AI meeting assistant developed by Agilean Solutions Private Limited, an India-based company. It connects to a user's Google or Microsoft account and calendar, and its agent automatically joins scheduled meetings on Google Meet, Microsoft Teams, and Zoom. After a meeting, Acta.ai records and transcribes the conversation and then analyzes it to generate a concise summary, a list of decisions, and actionable tasks. A distinguishing element is its persona-based approach: the platform offers domain-specific agents oriented toward business functions such as Sales, Engineering, Recruiting, Project Management, Finance, Customer Support, and HR, with the ability to convert discussions into role-appropriate outputs like product requirement notes, ticket-style items, deal briefs, or assessment reports. It also includes an 'Ask Acta' assistant for querying meeting content and provides a Chrome extension. Acta.ai is positioned for cross-functional teams that want meetings translated into structured follow-up work rather than only a raw transcript, and it markets itself around moving from 'what was said' to 'what needs to be done.' The product is actively operating, offering a free trial alongside paid tiers. 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
Acta.ai 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 | Acta.ai | Meeting Transcriber |
|---|---|---|
| Core capability | Automatic meeting join, recording, and transcription across Google Meet, Microsoft Teams, and Zoom | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | AI-generated summaries with key topics and takeaways | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | Action item generation and tracking | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | Persona-based agents for functions like Sales, Engineering, Finance, and HR | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | 'Ask Acta' assistant for querying meeting insights | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | Chrome extension and calendar integration | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
Acta.ai
Choose Acta.ai if you need sales discovery calls that need deal briefs and follow-up tasks — strengths include built and operated from india with a focus on turning meetings into structured follow-up work.
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.
Acta.ai
Meeting Transcriber
It depends on your workflow. Acta.ai is strong for sales discovery calls that need deal briefs and follow-up tasks, 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.
Acta.ai 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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