Aviso AI: End-to-end AI revenue platform whose conversation intelligence records and analyzes sales calls and meetings for B2B revenue teams. 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. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Aviso AI when revenue teams analyzing sales calls alongside pipeline and forecast data 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.
End-to-end AI revenue platform whose conversation intelligence records and analyzes sales calls and meetings for B2B revenue teams.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
Aviso AI is an end-to-end AI revenue platform for B2B sales and revenue operations teams that combines forecasting, pipeline inspection, deal intelligence, and conversation intelligence in one system. Within its conversation intelligence module, Aviso records and transcribes both online meetings (via Zoom, Microsoft Teams, and Google Meet) and offline or in-person conversations, then analyzes them to surface coaching opportunities, buyer sentiment, and deal signals. It applies natural language processing and acoustic analysis to detect sentiment and emotion through tone, pitch, and pace, and generates smart transcripts and visual summaries that highlight keywords, decision-maker comments, and next steps. Its MIKI generative-AI assistant lets users query past conversations in natural language instead of scrubbing through transcripts, and a deal room centralizes recordings, transcripts, and related communications. Aviso ties these conversation insights back to pipeline health and forecasting so managers can connect rep behavior on calls to revenue outcomes. It is primarily aimed at mid-market and enterprise revenue teams that want a single AI-native platform rather than multiple point tools. 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
Aviso 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 | Aviso AI | Meeting Transcriber |
|---|---|---|
| Core capability | Records and transcribes online and in-person sales meetings | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | Sentiment and emotion analysis using text and acoustic markers | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | MIKI generative-AI assistant for natural-language querying of conversations | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | Smart transcripts and auto-summaries with keywords and next steps | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | Deal room centralizing recordings, transcripts, and deal communications | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | Conversation insights tied to pipeline inspection and forecasting | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
Aviso AI
Choose Aviso AI if you need revenue teams analyzing sales calls alongside pipeline and forecast data — strengths include connects conversation intelligence directly to forecasting and deal data.
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.
Aviso AI
Meeting Transcriber
It depends on your workflow. Aviso AI is strong for revenue teams analyzing sales calls alongside pipeline and forecast data, 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.
Aviso 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.
You can — some teams pair them when each covers a different part of the meeting workflow.
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