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. daisee: Daisee is an AI voice analytics and contact centre quality assurance platform that transcribes and automatically scores 100% of customer calls and chats. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist WhisperLiveKit when self-hosted real-time meeting transcription with speaker labels matters most, and daisee when monitoring regulatory compliance and flagging high-risk customer calls in sectors like finance and insurance matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
Daisee is an AI voice analytics and contact centre quality assurance platform that transcribes and automatically scores 100% of customer calls and chats.
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
Daisee is an Australian (Sydney-based) AI software company offering a cloud-based voice analytics and contact centre quality assurance platform. It captures audio by having organisations upload call recordings to a secure cloud endpoint, then transcribes the conversations using speech-to-text technology. Rather than reviewing only a sample of interactions, Daisee analyses 100 percent of calls and chat sessions, applying natural language processing and sentiment analysis to surface why customers are getting in touch. Core capabilities include a Programmable Scorecard that automates agent evaluation, daisee Essence for categorising call reasons and root-cause drivers, daisee Predictors for flagging likely complaints and churn, plus a Scorecard Builder and Report Builder for custom QA workflows. It supports both voice and chat channels and integrates with platforms such as Genesys Cloud, with partnerships listed including Microsoft and AWS. Daisee is aimed at contact centres and customer-experience teams in regulated sectors like financial services and insurance that need compliance monitoring, agent coaching insights, and automated quality assurance at scale.
Best suited for
WhisperLiveKit is a free tier with paid upgrades (freemium); daisee is custom pricing (contact sales). Always confirm current pricing on each vendor's site before buying.
| Feature | WhisperLiveKit | daisee |
|---|---|---|
| Core capability | Real-time streaming speech-to-text with low latency over WebSocket | Automated transcription of 100% of voice calls |
| Standout feature | Real-time speaker diarization to distinguish multiple speakers | Programmable Scorecard for automated agent quality evaluation |
| Team usage | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol | Sentiment analysis and emotion detection across interactions |
| Integrations | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation | Compliance monitoring that flags high-risk and non-compliant calls |
| Languages & capture | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) | Chat interaction analysis alongside voice |
| Best-fit workflow | Voice activity detection and multi-user support on a single backend | Custom Report Builder and Scorecard Builder with industry templates |
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.
daisee
Choose daisee if you need automating quality assurance and agent scoring across an entire contact centre's call volume — strengths include analyses every interaction rather than a manual sample, reducing qa workload.
WhisperLiveKit
daisee
It depends on your workflow. WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels, while daisee is strong for automating quality assurance and agent scoring across an entire contact centre's call volume. Both transcribe and summarize meetings.
WhisperLiveKit is a free tier with paid upgrades and daisee is custom pricing. 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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