CallMiner: CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. Here's where each one pulls ahead on pricing, features, and the meetings it suits best.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallMiner when contact centers monitoring agent performance and automating quality scoring and coaching matters most, and Minutes when recording and transcribing calls locally for users who refuse cloud meeting tools matters most. Trial each on a few real meetings before you commit — the better fit usually shows fast.
CallMiner is an enterprise conversation intelligence platform that transcribes and analyzes voice and digital customer interactions for sentiment, intent, and compliance.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
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
Minutes, built by Mat Silverstein, is an open-source, privacy-first conversation memory layer that captures meetings, calls, voice memos, and dictation and turns them into searchable, AI-accessible notes. It transcribes audio locally using whisper.cpp or Parakeet so audio never has to leave the machine, performs speaker diarization to separate voices, and extracts decisions and action items, writing everything to the user's own disk as plain markdown files with structured YAML frontmatter. Because the output lives in a local folder (for example ~/meetings/), the notes can sync across devices through iCloud, Dropbox, or Google Drive and can be read directly by AI tools. A central design goal is integration with AI assistants: Minutes runs an MCP server exposing a large set of tools so coding and chat agents such as Claude, Codex, Gemini CLI, and others can query past conversations, track relationships across meetings, and surface what was promised to whom. It ships as a macOS desktop app with a menu-bar recorder and AI assistant, plus a cross-platform command-line interface, and includes a dictation hotkey mode. The project is MIT licensed, installable via Homebrew, and actively maintained with frequent releases, making it a fully self-hostable option for people who want durable, private, searchable meeting memory rather than a cloud subscription. Pricing varies by plan. Check the official website for current pricing.
Best suited for
CallMiner is custom pricing (contact sales); Minutes is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | CallMiner | Minutes |
|---|---|---|
| Core capability | Automatic transcription of voice and digital interactions across multiple languages | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | Acoustic and linguistic sentiment and emotion analysis (frustration, satisfaction, effort) | Speaker diarization to attribute who said what |
| Team usage | Real-time agent guidance and alerts during live calls plus post-call analysis | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | Automated redaction of sensitive numeric data for compliance and security | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Automated scoring and quality management for compliance, performance, and sales | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | Omnichannel coverage: voice, chat, email, surveys, social, and screen recordings | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
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.
Minutes
Choose Minutes if you need building a private, searchable memory of meetings and voice notes that ai agents can query — strengths include fully local-first and mit licensed, keeping conversation data private and portable.
CallMiner
Minutes
It depends on your workflow. CallMiner is strong for contact centers monitoring agent performance and automating quality scoring and coaching, while Minutes is strong for building a private, searchable memory of meetings and voice notes that ai agents can query. Both transcribe and summarize meetings.
CallMiner is custom pricing and Minutes 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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