Amberscript: Audio and video to text service offering automatic and human-verified transcripts and subtitles. Minutes: Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents. Below, they line up on price, capture method, and how each fits a real meeting stack.
How Hosiqo compares and tests toolsFinal recommendation
Shortlist Amberscript when transcribing interviews, research, and media for accurate records 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.
Audio and video to text service offering automatic and human-verified transcripts and subtitles.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Amberscript is a speech-to-text service that converts audio and video into text and subtitles, offering both automatic AI transcription and human-verified options. Users upload recordings and choose between editable automatic transcripts produced by speech recognition or expert-reviewed transcripts refined by professional editors for higher accuracy. The platform similarly provides subtitles in either automated or professionally edited form, including translation services, and offers a transcript editor for reviewing and correcting output. Amberscript supports a large number of languages and additionally provides a speech-to-text API and data annotation services, as well as a meeting transcription offering for capturing and converting spoken meetings into text. The combination of self-serve automatic transcription and a human-review tier lets users trade off speed against accuracy depending on the use case. Amberscript is aimed at researchers, media organizations, businesses, and public-sector users who need reliable transcripts and subtitles, including those with accuracy or accessibility requirements that justify human-reviewed output rather than automation alone. Pricing varies by plan. Check the official website for current pricing.
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
Amberscript is a free tier with paid upgrades (freemium); Minutes is a free tier with paid upgrades (freemium). Always confirm current pricing on each vendor's site before buying.
| Feature | Amberscript | Minutes |
|---|---|---|
| Core capability | Automatic AI transcription of audio and video | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | Human-verified transcript and subtitle option for higher accuracy | Speaker diarization to attribute who said what |
| Team usage | Subtitle generation and translation services | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | Transcript editor for reviewing and correcting output | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | Speech-to-text API and meeting transcription support | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | Automatic AI transcription of audio and video | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
Amberscript
Choose Amberscript if you need transcribing interviews, research, and media for accurate records — strengths include choice between fast automatic and accurate human-reviewed output.
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.
Amberscript
Minutes
It depends on your workflow. Amberscript is strong for transcribing interviews, research, and media for accurate records, 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.
Amberscript 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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