Attention: AI conversation intelligence platform that records and transcribes sales calls, scores them against frameworks, and automates CRM updates and follow-ups. 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 Attention when sales managers coaching reps with consistent call scorecards 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.
AI conversation intelligence platform that records and transcribes sales calls, scores them against frameworks, and automates CRM updates and follow-ups.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
Attention is an AI-native conversation intelligence platform for revenue teams that records, transcribes and analyzes sales calls to automate post-call work and coaching. It captures meetings across video conferencing tools such as Zoom, Google Meet and Microsoft Teams and transcribes conversations in many languages, then uses AI to generate summaries, insights and coaching feedback. A distinguishing capability is automated scorecards: Attention evaluates rep performance against established sales methodologies such as MEDDIC and BANT, giving managers a consistent, AI-generated assessment of each call rather than relying on manual review. The platform also includes AI sales agents that automate follow-up emails, CRM updates and next-step workflows, with a CRM auto-update feature that populates systems from call data to reduce manual entry. Attention integrates with a large ecosystem of tools, including Salesforce, HubSpot, Gmail, Outlook, Slack and Zapier, so call insights and tasks can flow into existing sales processes. It is aimed at revenue teams, sales leaders, individual reps and customer success departments that want to cut administrative work, improve coaching consistency and keep deals from slipping due to missed follow-ups. 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
Attention 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 | Attention | Meeting Transcriber |
|---|---|---|
| Core capability | Records and transcribes calls across Zoom, Google Meet and Microsoft Teams | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | Transcription in 100+ languages | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | Automated coaching scorecards against MEDDIC, BANT and similar frameworks | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | AI sales agents for follow-ups and next-step automation | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | CRM auto-update to reduce manual data entry | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | Integrations with Salesforce, HubSpot, Gmail, Outlook, Slack and Zapier | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
Attention
Choose Attention if you need sales managers coaching reps with consistent call scorecards — strengths include methodology-based scorecards bring consistency to call coaching.
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.
Attention
Meeting Transcriber
It depends on your workflow. Attention is strong for sales managers coaching reps with consistent call scorecards, 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.
Attention 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.
Sure. Running both makes sense when their strengths don't overlap and the budget allows.
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