Enthu.AI: Enthu.AI is a conversation intelligence platform that transcribes, auto-scores, and analyzes contact-center and sales calls for quality assurance and agent coaching. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. This comparison weighs them on pricing, features, and everyday workflow fit.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Enthu.AI when auto-scoring contact-center agent calls for quality assurance and compliance 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.
Enthu.AI is a conversation intelligence platform that transcribes, auto-scores, and analyzes contact-center and sales calls for quality assurance and agent coaching.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Enthu.AI is a conversation intelligence and quality-assurance platform built for contact centers and calling teams across industries such as financial services, insurance, healthcare, and utilities. It transcribes every customer conversation into searchable speech-to-text with speaker labels and timestamps, then layers automated analysis on top: GenAI-powered auto-QA that evaluates calls without manual review, customizable scorecards that score agents on parameters like empathy, compliance, and script adherence, and AI summaries that surface key points and next steps. The platform also provides sentiment detection, a searchable call library for storing and organizing recordings, dashboards and reporting to spot trends, and personalized coaching tools for improving agent performance. PII redaction automatically removes sensitive data for privacy and compliance, and the product connects to existing contact-center stacks through 30+ integrations (such as NICE CXone, Five9, Salesforce, RingCentral, and Aircall). It is aimed at QA managers, sales leaders, and compliance teams who want to evaluate full call volume rather than a manual sample.
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
Enthu.AI is a free tier with paid upgrades (paid); Minutes is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Enthu.AI | Minutes |
|---|---|---|
| Core capability | Speech-to-text transcription of calls with speaker labels and timestamps | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | GenAI-powered automated QA and call scoring across full call volume | Speaker diarization to attribute who said what |
| Team usage | Customizable scorecards for empathy, compliance, and script adherence | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | AI-generated call summaries extracting key points and next steps | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Sentiment analysis and agent coaching dashboards | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | PII redaction and 30+ contact-center integrations (NICE CXone, Five9, Salesforce, RingCentral, Aircall) | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
Enthu.AI
Choose Enthu.AI if you need auto-scoring contact-center agent calls for quality assurance and compliance — strengths include automates qa across 100% of calls instead of a small manual sample.
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.
Enthu.AI
Minutes
It depends on your workflow. Enthu.AI is strong for auto-scoring contact-center agent calls for quality assurance and compliance, 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.
Enthu.AI is a free tier with paid upgrades and Minutes is a free tier with paid upgrades. Check each vendor's pricing page for the latest plans and free-tier limits.
Yes. Many teams run more than one meeting assistant when the workflows are complementary.
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