CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. ownscribe: Local-first command-line tool that records, transcribes, and summarizes meetings on macOS entirely on-device, with natural-language search across notes. The right pick comes down to team size, budget, and the workflows you want to automate.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and ownscribe when keeping fully on-device transcripts and summaries for privacy-sensitive discussions matters most. Run both through a week of actual calls to see which suits your workflow.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
Local-first command-line tool that records, transcribes, and summarizes meetings on macOS entirely on-device, with natural-language search across 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
ownscribe is a local-first meeting transcription and summarization command-line tool that records, transcribes, and summarizes meetings entirely on the user's own machine without sending data to external servers. It is MIT-licensed and actively maintained, with v0.12.0 released in June 2026, and is written primarily in Python with a Swift component for system audio capture. On macOS 14.2 and later it captures system audio through Core Audio, and it transcribes with WhisperX to produce word-level timestamps, with optional speaker diarization via PyAnnote. For summaries it ships with a built-in local model (Phi-4-mini) and can also connect to Ollama or OpenAI-compatible backends, offering multiple templates tailored to meetings, lectures, and brief summaries. A standout feature is its natural-language search: the ask command lets users query across their stored meeting notes to retrieve relevant information. Quality-of-life features include silence-based auto-stop so recordings end cleanly when a meeting goes quiet. Because it is a CLI distributed through GitHub and runs entirely on local hardware, ownscribe targets developers and privacy-focused users who prefer scriptable, terminal-driven workflows over a graphical meeting notetaker while keeping all audio and transcripts on-device. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallMiner is custom pricing (contact sales); ownscribe is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | ownscribe |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | Local-first recording, transcription, and summarization via CLI |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | System audio capture on macOS 14.2+ through Core Audio |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | WhisperX transcription with word-level timestamps |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | Optional speaker diarization via PyAnnote |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Local summarization with a built-in Phi-4-mini model, plus Ollama and OpenAI-compatible backends |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | Natural-language search across meeting notes with the ask command |
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.
ownscribe
Choose ownscribe if you need developers capturing and summarizing meetings from the terminal on a mac — strengths include runs entirely on-device with no data sent to external servers.
CallMiner
ownscribe
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while ownscribe is strong for developers capturing and summarizing meetings from the terminal on a mac. Both transcribe and summarize meetings.
CallMiner is custom pricing and ownscribe 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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