Attio Call Intelligence: Attio's native call intelligence records, transcribes, and summarizes meetings and syncs every conversation to the Attio CRM automatically. 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. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Attio Call Intelligence when recording sales calls and linking them automatically to attio deals 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.
Attio's native call intelligence records, transcribes, and summarizes meetings and syncs every conversation to the Attio CRM automatically.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
Attio Call Intelligence is a meeting-capture capability built into the Attio CRM, aimed at startups and modern go-to-market teams that manage their customers and deals in Attio. The recorder automatically joins meetings on Zoom, Google Meet, and Microsoft Teams, transcribes the conversation, and stores the recording directly within the CRM, with transcription available across a large number of languages. During and after a call, Attio generates conversation summaries and can apply custom AI insight templates that pull out key details, buying signals, blockers, and recommended next steps tailored to different call types. Its defining feature is automatic linkage: calls are tied to the relevant deals, people, and organizations in Attio, and AI can trigger follow-ups, create entries, and set reminders through Attio's flexible data objects and workflows, so teams do not have to log calls by hand. Recordings are visible to workspace members and can be shared externally. Attio Call Intelligence is built for revenue teams that want call recordings, transcripts, and AI insights connected to their CRM data and automation rather than living in a separate notetaking tool. 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
Attio Call Intelligence 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 | Attio Call Intelligence | Meeting Transcriber |
|---|---|---|
| Core capability | Recorder auto-joins Zoom, Google Meet, and Microsoft Teams | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | Transcription supporting a large set of languages | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | Real-time and post-call conversation summaries | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | Custom AI insight templates per call type | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | Automatic linking of calls to deals, people, and organizations | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | AI-triggered follow-ups, entries, and reminders via Attio workflows | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
Attio Call Intelligence
Choose Attio Call Intelligence if you need recording sales calls and linking them automatically to attio deals — strengths include calls, transcripts, and insights sync natively into the attio crm.
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.
Attio Call Intelligence
Meeting Transcriber
It depends on your workflow. Attio Call Intelligence is strong for recording sales calls and linking them automatically to attio deals, 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.
Attio Call Intelligence 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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