CallFinder: CallFinder is an AI-powered speech analytics platform that transcribes and analyzes contact center calls to automate quality assurance and surface customer insights. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. Which one wins depends on your platform mix, budget, and how hands-off you want notes to be.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist CallFinder when automating quality assurance and call scoring in contact centers matters most, and Minutes when recording and transcribing calls locally for users who refuse cloud meeting tools matters most. Try them side by side on real calls before deciding — needs vary by team.
CallFinder is an AI-powered speech analytics platform that transcribes and analyzes contact center calls to automate quality assurance and surface customer insights.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
CallFinder is a cloud-based speech analytics and conversation intelligence platform built for contact centers and quality assurance teams. It captures audio by integrating with a company's existing call recording provider and contact center systems, then applies AI-powered speech-to-text to produce searchable transcriptions of agent-customer interactions. Beyond transcription, the platform delivers automated agent scorecards, sentiment and emotion analysis (positive, negative, or neutral), and silence and overtalk detection to pinpoint conversation patterns and customer pain points. Custom analytics reporting helps managers identify trends, compliance risks, and coaching opportunities across large call volumes. A distinguishing element is its managed client services model, in which an assigned Speech Analyst works alongside the QA team to define goals and optimize the deployment, combining AI with human review. CallFinder integrates with most CRMs and contact center solutions, with a typical implementation taking several weeks. It is aimed at contact centers in industries such as credit unions, healthcare, collections, insurance, and education seeking to monitor and improve customer interactions.
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
CallFinder 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 | CallFinder | Minutes |
|---|---|---|
| Core capability | AI-powered speech-to-text call transcription | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | Searchable transcripts of agent-customer interactions | Speaker diarization to attribute who said what |
| Team usage | Sentiment and emotion analysis | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | Automated agent scorecards | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Silence and overtalk detection | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | Custom analytics and reporting | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
CallFinder
Choose CallFinder if you need automating quality assurance and call scoring in contact centers — strengths include combines ai analysis with a dedicated human speech analyst.
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.
CallFinder
Minutes
It depends on your workflow. CallFinder is strong for automating quality assurance and call scoring in contact centers, 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.
CallFinder 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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