Mihup (Interaction Analytics): Mihup Interaction Analytics is an AI speech analytics platform that transcribes and analyzes 100% of contact center conversations across voice, chat, and email. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. 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 Mihup (Interaction Analytics) when automating contact center quality audits and agent performance scoring matters most, and Minutes when recording and transcribing calls locally for users who refuse cloud meeting tools matters most. Run both through a week of actual calls to see which suits your workflow.
Mihup Interaction Analytics is an AI speech analytics platform that transcribes and analyzes 100% of contact center conversations across voice, chat, and email.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Mihup Interaction Analytics (MIA) is an enterprise conversation intelligence platform built by Mihup, an India-based voice AI company founded in 2016. It captures and transcribes customer interactions across voice calls, chat, and email, then analyzes 100% of those conversations rather than a manual sample. Using phoneme-based speech recognition tuned for Indian languages, regional accents, and noisy contact center audio, it produces transcripts, sentiment analysis, automated quality audits, and compliance checks. The platform offers both post-call analytics and real-time agent assist, surfacing live summaries, scripts, knowledge articles, and compliance alerts during calls. It detects compliance breaches, supports PII redaction, and generates agent coaching recommendations and Voice of Customer insights. Mihup integrates with CRMs (Salesforce, Zoho, HubSpot, Freshdesk, Microsoft Dynamics) and dialers/telephony systems (Genesys, Cisco, Avaya, Twilio, Talkdesk, Exotel, Ameyo), with cloud, private cloud, or on-premises deployment. It targets enterprise contact centers, especially in banking, financial services, and insurance (BFSI), with clients including SBI Life, Angel One, and Pine Labs.
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
Mihup (Interaction Analytics) 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 | Mihup (Interaction Analytics) | Minutes |
|---|---|---|
| Core capability | Transcribes and analyzes 100% of customer interactions across voice, chat, and email | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | Phoneme-based speech recognition tuned for Indian languages and noisy contact center audio | Speaker diarization to attribute who said what |
| Team usage | Automated quality audits and QA scoring against predefined parameters | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | Real-time agent assist with live summaries, scripts, and compliance alerts | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Sentiment analysis and Voice of Customer insights with compliance breach detection | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | Integrations with CRMs and dialers/telephony plus cloud, private cloud, or on-premises deployment | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
Mihup (Interaction Analytics)
Choose Mihup (Interaction Analytics) if you need automating contact center quality audits and agent performance scoring — strengths include analyzes 100% of conversations rather than manual sampling, including multichannel voice, chat, and email.
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.
Mihup (Interaction Analytics)
Minutes
It depends on your workflow. Mihup (Interaction Analytics) is strong for automating contact center quality audits and agent performance scoring, 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.
Mihup (Interaction Analytics) 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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