Conveo: AI-led qualitative research platform that runs video, voice, and text interviews and analyzes every signal for insights at speed. 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 Conveo when continuous consumer and ux research using video interviews at scale matters most, and Meeting Transcriber when recording and summarizing teams, zoom, or webex calls without inviting a cloud meeting bot matters most. Run both through a week of actual calls to see which suits your workflow.
AI-led qualitative research platform that runs video, voice, and text interviews and analyzes every signal for insights at speed.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
Conveo is an AI qualitative research platform that handles the full interview workflow, from recruiting participants to moderating conversations to analyzing results, with the goal of compressing research timelines from weeks to days. Its AI interviewer conducts real video, voice, and text conversations asynchronously, adapts the discussion guide in real time, and probes with contextual follow-up questions based on each participant's responses, supporting interviews across 50-plus languages end to end including the interviewer, transcripts, and reports. Researchers can upload a brief or business objective and have Conveo generate an interview guide, then begin fielding within roughly half an hour. Because it captures video alongside voice and text, the platform performs multi-signal analysis, reading tone, emotional cues, and behavior in addition to spoken content, and it links findings back to the source video moments so insights can be validated and shared. Automated outputs include executive summaries, thematic analysis, emotional insights, and quantitative data extraction. Conveo positions itself as an end-to-end platform for continuous research across consumer insights, UX, marketing, and product workflows. 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
Conveo 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 | Conveo | Meeting Transcriber |
|---|---|---|
| Core capability | AI interviewer conducting asynchronous video, voice, and text interviews | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | Real-time discussion-guide adaptation with contextual follow-ups | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | Multi-signal analysis of voice, video, tone, and behavior | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | Automated executive summaries, thematic analysis, and quantitative extraction | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | Findings linked back to source video moments | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | End-to-end recruiting, interviewing, and analysis in 50+ languages | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
Conveo
Choose Conveo if you need continuous consumer and ux research using video interviews at scale — strengths include video capture enables emotional and behavioral analysis beyond transcript text.
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.
Conveo
Meeting Transcriber
It depends on your workflow. Conveo is strong for continuous consumer and ux research using video interviews at scale, 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.
Conveo 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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