Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. 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 Condens when transcribing and tagging user interview recordings 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.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
Open-source, local-first macOS app that auto-records Teams, Zoom, and Webex calls and transcribes, diarizes, and summarizes them entirely on-device.
Condens is a user research platform that helps research teams store, analyze, share, and scale customer data in one collaborative hub. It supports importing recordings, notes, and user feedback, and provides automated multilingual transcription with AI-powered speaker recognition and automated captions. For analysis, Condens offers a split-screen interface that lets researchers review raw data and tag it simultaneously, along with AI-driven pattern identification across datasets and quick generation of evidence-backed findings. All research lives in a searchable, centralized repository with cross-project insight discovery, filtering, and role-based access control for managing confidential data. Condens emphasizes real-time collaboration, allowing multiple team members to build, edit, and tag data together, and integrates with tools such as Slack, Teams, Figma, and Miro, plus whiteboard functionality for interactive sessions. Additional AI capabilities include automated bookmarking, summarization, and pattern detection across multiple studies. Positioned as a lean, practical tool for researchers who want to move quickly, Condens aims to streamline the path from interview transcripts to shareable insights without the overhead of heavier enterprise systems. 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
Condens 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 | Condens | Meeting Transcriber |
|---|---|---|
| Core capability | Automated multilingual transcription with speaker recognition and captions | Automatic recording of Teams, Zoom, and Webex meetings via a macOS menu bar app |
| Standout feature | Split-screen interface for simultaneous data review and tagging | On-device transcription with selectable engines: WhisperKit, Parakeet TDT v3, or Qwen3-ASR |
| Team usage | AI-driven pattern identification across datasets | Dual-track diarization with separate app and microphone tracks for clean speaker separation |
| Integrations | Searchable centralized repository with cross-project discovery | Recurring-speaker recognition using stored voice embeddings matched by cosine similarity |
| Languages & capture | Real-time collaborative analysis and tagging | Structured Markdown protocols (summary, participants, topics, decisions, tasks, open questions, transcript) |
| Best-fit workflow | Integrations with Slack, Teams, Figma, and Miro plus whiteboards | Pluggable summarization backends: Claude Code CLI, OpenAI-compatible APIs (Ollama, LM Studio), or transcript-only |
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
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.
Condens
Meeting Transcriber
It depends on your workflow. Condens is strong for transcribing and tagging user interview recordings, 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.
Condens 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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