CallFinder: CallFinder is an AI-powered speech analytics platform that transcribes and analyzes contact center calls to automate quality assurance and surface customer insights. 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 CallFinder when automating quality assurance and call scoring in contact centers matters most, and WhisperLiveKit when building privacy-first transcription into custom applications via compatible apis matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
CallFinder is an AI-powered speech analytics platform that transcribes and analyzes contact center calls to automate quality assurance and surface customer insights.
Open-source, self-hosted real-time speech-to-text and speaker diarization toolkit with a FastAPI server and web interface, suitable for meeting transcription.
CallFinder is a cloud-based speech analytics and conversation intelligence platform built for contact centers and quality assurance teams. It captures audio by integrating with a company's existing call recording provider and contact center systems, then applies AI-powered speech-to-text to produce searchable transcriptions of agent-customer interactions. Beyond transcription, the platform delivers automated agent scorecards, sentiment and emotion analysis (positive, negative, or neutral), and silence and overtalk detection to pinpoint conversation patterns and customer pain points. Custom analytics reporting helps managers identify trends, compliance risks, and coaching opportunities across large call volumes. A distinguishing element is its managed client services model, in which an assigned Speech Analyst works alongside the QA team to define goals and optimize the deployment, combining AI with human review. CallFinder integrates with most CRMs and contact center solutions, with a typical implementation taking several weeks. It is aimed at contact centers in industries such as credit unions, healthcare, collections, insurance, and education seeking to monitor and improve customer interactions.
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
CallFinder 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 | CallFinder | WhisperLiveKit |
|---|---|---|
| Core capability | AI-powered speech-to-text call transcription | Real-time streaming speech-to-text with low latency over WebSocket |
| Standout feature | Searchable transcripts of agent-customer interactions | Real-time speaker diarization to distinguish multiple speakers |
| Team usage | Sentiment and emotion analysis | FastAPI backend with OpenAI-compatible REST API and Deepgram-compatible WebSocket protocol |
| Integrations | Automated agent scorecards | Multiple ASR backends (Whisper variants, Voxtral, Qwen3-ASR) and 200+ language support with translation |
| Languages & capture | Silence and overtalk detection | Included customizable HTML/JavaScript web interface and Docker images (GPU and CPU) |
| Best-fit workflow | Custom analytics and reporting | Voice activity detection and multi-user support on a single backend |
CallFinder
Choose CallFinder if you need automating quality assurance and call scoring in contact centers — strengths include combines ai analysis with a dedicated human speech analyst.
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.
CallFinder
WhisperLiveKit
It depends on your workflow. CallFinder is strong for automating quality assurance and call scoring in contact centers, while WhisperLiveKit is strong for self-hosted real-time meeting transcription with speaker labels. Both transcribe and summarize meetings.
CallFinder 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.
Often yes: teams combine tools when one handles capture and another handles analysis.
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