Condens: UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository. WhisperLiveKit: Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription. We compare them on cost, capture approach, and day-to-day fit so you can choose faster.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Condens when transcribing and tagging user interview recordings matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Run both through a week of actual calls to see which suits your workflow.
UX research platform for storing, transcribing, tagging, and analyzing user interviews in a searchable, collaborative repository.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
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
WhisperLiveKit is an open-source, self-hosted toolkit for ultra-low-latency real-time speech-to-text and speaker diarization. Rather than naively running Whisper on each audio chunk, it uses state-of-the-art simultaneous-speech research for intelligent buffering and incremental processing, which preserves transcription quality while streaming results with minimal latency. The project ships a complete backend built on FastAPI with WebSocket support, an OpenAI-compatible REST API, a Deepgram-compatible WebSocket protocol, and a simple, customizable HTML and JavaScript web interface that captures microphone audio and streams it to the server. It supports multiple ASR backends including Whisper variants, Voxtral, and Qwen3-ASR, covers 200+ languages with translation, and includes real-time speaker diarization and voice activity detection to reduce processing overhead. It can handle multiple concurrent users on a single backend and is distributed via PyPI with Docker images for both GPU and CPU. Licensed under Apache 2.0 and actively maintained into 2026, the project explicitly lists meeting transcription, accessibility tooling, and podcast or call transcription with speaker identification among its intended use cases, making it a practical building block for private, on-premise meeting transcription pipelines. Pricing varies by plan. Check the official website for current pricing.
Best suited for
Condens is a free tier with paid upgrades (freemium); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Condens | WhisperLiveKit |
|---|---|---|
| Core capability | Automated multilingual transcription with speaker recognition and captions | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Split-screen interface for simultaneous data review and tagging | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | AI-driven pattern identification across datasets | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Searchable centralized repository with cross-project discovery | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Real-time collaborative analysis and tagging | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Integrations with Slack, Teams, Figma, and Miro plus whiteboards | Voice activity detection and multi-user support on a single backend |
Condens
Choose Condens if you need transcribing and tagging user interview recordings — strengths include fast, practical workflow from transcript to tagged insights.
WhisperLiveKit
Choose WhisperLiveKit if you need self-hosted real-time meeting transcription with speaker labels — strengths include fully open source (apache 2.0) and self-hostable for private, on-premise transcription.
Condens
WhisperLiveKit
It depends on your workflow. Condens is strong for transcribing and tagging user interview recordings, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
Condens is a free tier with paid upgrades and WhisperLiveKit 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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