CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. OpenWhispr: Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and OpenWhispr when turning rough in-meeting notes into structured summaries and action items matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
Open-source, privacy-first voice-to-text desktop app for Mac, Windows, and Linux that also transcribes meetings into AI-organized notes.
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
OpenWhispr is an open-source desktop application for macOS, Windows, and Linux that converts speech to text and includes a meeting notes capability built on the same engine. Its core function is global-hotkey dictation that inserts transcribed text at the cursor in any application, but it also ships an AI Notepad for meetings, an AI Chat that can reference past meetings, and an audio upload feature for transcribing recorded files. For meetings it captures the computer's audio directly rather than sending a bot into the call, transcribes the conversation in the background, and combines rough notes with the transcript to produce structured minutes that highlight decisions, action items, and next steps. Transcription can run locally using bundled Whisper and NVIDIA Parakeet models or connect to cloud models with a bring-your-own-key setup, and the project emphasizes that audio can be processed and discarded for privacy. The codebase is publicly available on GitHub and the app is actively maintained through 2026. It is aimed at developers, writers, and individuals or small teams who want a private, auditable, cross-platform transcription and meeting-notes tool. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallMiner is custom pricing (contact sales); OpenWhispr is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | OpenWhispr |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | Open-source and auditable, with code published on GitHub |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Cross-platform desktop app for macOS, Windows, and Linux |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | Local transcription via bundled Whisper and NVIDIA Parakeet models |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Bring-your-own-key cloud model option for flexibility |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | AI Notepad that turns rough meeting notes plus transcript into structured minutes |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | Full-text search and AI Chat across captured meetings |
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.
OpenWhispr
Choose OpenWhispr if you need privately transcribing computer-audio meetings without a bot joining the call — strengths include fully open source, so users can inspect and self-host the code.
CallMiner
OpenWhispr
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while OpenWhispr is strong for privately transcribing computer-audio meetings without a bot joining the call. Both transcribe and summarize meetings.
CallMiner is custom pricing and OpenWhispr is a free tier with paid upgrades. 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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