CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. 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. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Try them side by side on real calls before deciding — needs vary by team.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
CallMiner is an enterprise speech and conversation analytics platform, built around its Eureka product, that captures and analyzes customer interactions across voice and digital channels. It records and transcribes calls into text, then applies acoustic and linguistic AI to surface sentiment, emotion, intent, and behavioral signals — quantifying frustration, effort, satisfaction, and confidence rather than sampling a fraction of conversations. Designed for contact centers and large enterprises, it spans modules for analysis, automated agent scoring and coaching, real-time guidance during live calls, automated redaction of sensitive data, multilingual translation, and interactive dashboards. CallMiner ingests voice, chat, email, surveys, social media, and screen recordings, applying scoring models to isolate compliance risks, fraud, quality issues, and sales outcomes. It also includes generative and agentic AI features such as automatic category creation, contact summarization, and natural-language discovery. The platform is used across healthcare, finance, retail, insurance, and BPO sectors, and was named a leader in The Forrester Wave: Conversation Intelligence Solutions for Contact Centers, Q2 2025.
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
CallMiner is custom pricing (contact sales); WhisperLiveKit is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | WhisperLiveKit |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | Voice activity detection and multi-user support on a single backend |
CallMiner
Choose CallMiner if you need contact centers monitoring agent performance and automating quality scoring and coaching — strengths include analyzes 100% of interactions rather than a sampled subset, reducing blind spots.
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.
CallMiner
WhisperLiveKit
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
CallMiner is custom pricing 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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