Deciphr: Deciphr is an AI platform that transcribes audio and video files and automatically repurposes them into transcripts, show notes, articles, social captions, and video reels. 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 Deciphr when podcasters generating show notes, transcripts, chapters, and clips from each episode matters most, and Minutes when recording and transcribing calls locally for users who refuse cloud meeting tools matters most. Test each on your own meetings; the right choice tends to become obvious quickly.
Deciphr is an AI platform that transcribes audio and video files and automatically repurposes them into transcripts, show notes, articles, social captions, and video reels.
Open-source, local-first conversation memory layer that records and transcribes meetings, diarizes speakers, and stores searchable notes as markdown for AI agents.
Deciphr is an AI content-automation platform that transcribes audio and video—including podcasts, webinars, and meetings—and turns a single upload into a suite of derived content. After processing a recording, it generates a transcript plus assets such as show notes, episode summaries, chapters, quotes, SEO articles, FAQs, newsletters, social captions, audiograms, and video reels. Its built-in editor supports bulk editing, filler-word filtering, and automated speaker identification, letting users add speaker names and clean up text in-app. An AI chat assistant lets you query a transcript, brainstorm ideas, and pull suggestions from the uploaded content, and batch upload can pull from YouTube channels, playlists, or RSS feeds. Deciphr is aimed primarily at podcasters, YouTubers, webinar hosts, B2B marketers, agencies, and content creators whose main need is repurposing long-form recordings into many marketing assets rather than live meeting capture. It offers a free tier alongside paid Hobbyist, Professional, and Enterprise plans, with API access and advanced batch features available on higher tiers.
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
Deciphr 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 | Deciphr | Minutes |
|---|---|---|
| Core capability | AI transcription of audio and video files, including podcasts, webinars, and meetings | Local transcription with whisper.cpp or Parakeet, no cloud audio upload |
| Standout feature | Automated repurposing into 75+ asset types (show notes, summaries, articles, FAQs, captions, newsletters) | Speaker diarization to attribute who said what |
| Team usage | Audiogram and video reel generation, plus an AI clip finder for social media | Plain-markdown output with YAML frontmatter stored on your own disk |
| Integrations | In-app editor with bulk editing, filler-word filtering, and automated speaker identification | MCP server exposing tools so AI agents can query meeting history |
| Languages & capture | AI chat assistant to query transcripts and brainstorm content ideas | Cross-meeting search, relationship tracking, and action-item extraction |
| Best-fit workflow | Batch upload from YouTube channels, playlists, or RSS feeds | macOS desktop app plus cross-platform CLI and dictation hotkey mode |
Deciphr
Choose Deciphr if you need podcasters generating show notes, transcripts, chapters, and clips from each episode — strengths include turns one recording into many ready-to-use marketing assets, saving significant manual repurposing time.
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.
Deciphr
Minutes
It depends on your workflow. Deciphr is strong for podcasters generating show notes, transcripts, chapters, and clips from each episode, 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.
Deciphr 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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