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📖 The AI Tool Bible

Horch vs Stable Audio

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 Horch logo
Horch
Audio
Stable Audio logo
Stable Audio
Audio
TaglinePrivacy-first, on-device meeting assistant for macOSStability AI's generative audio model family for music and sound effects, with open weights for the smaller variants.
CategoryAudioAudio
PricingPaid· One-time purchase: €49 onceFreemium· Free web app tier; API metered; enterprise licensing for Large model
ModelWhisper (local) for transcription; optional Ollama / MLX local LLMs for summarizationStable Audio 3.0 (Large/Medium/Small/Small SFX)
Editorial score—7.1 / 10
Use cases
Confidential client meeting transcriptionAutomatic action-item extractionPer-contact relationship historyPre-meeting briefings from prior callsLocal Whisper transcription without cloud uploadFeeding meeting context into Claude or Cursor via MCPPersonal second-brain in MarkdownLegal, medical, or NDA-bound conversation notes
music-generationsound-effectsaudio-for-videogame-audiobackground-score
Pros
  • Fully on-device by default — audio and transcripts never leave the Mac unless the user opts in
  • One-time €49 purchase instead of a recurring per-seat SaaS bill
  • Records at OS level so no bot appears in the meeting and any app (Zoom, Meet, Teams, in-person) works
  • Notes stored as plain Markdown in ~/Meetings — portable, greppable, Obsidian-friendly
  • Auto-generates action items, topic summaries, and per-person profiles from spoken content
  • MCP server exposes meeting history to Claude, Cursor, and other agent clients
  • Local Whisper transcription plus optional Ollama/MLX means you pick the summarizer
  • Generates full tracks up to six minutes with strong prompt adherence
  • Open weights available for Medium and Small variants on Hugging Face
  • Trained on fully licensed data, reducing commercial-use risk
  • Hosted API plus self-host options cover most deployment shapes
Cons
  • macOS only — no Windows, Linux, iOS, or web client
  • Local Whisper and summarization need a reasonably modern Apple Silicon Mac to feel fast
  • No cloud sync or team workspace, so sharing across a team requires bring-your-own storage
  • Small independent product without the integrations catalog of Fireflies, Otter, or Fathom
  • OS-level capture depends on macOS screen/audio permissions, which some corporate MDM setups block
  • No transparent pricing for API or enterprise tier on the page
  • Vocal generation and long-form song structure remain weak spots
  • Smaller open-weight variants trail the Large model in fidelity
Websitehorch.appstability.ai
Pick Horch if
  • ✅ Fully on-device by default — audio and transcripts never leave the Mac unless the user opts in
  • ✅ One-time €49 purchase instead of a recurring per-seat SaaS bill
  • ✅ Records at OS level so no bot appears in the meeting and any app (Zoom, Meet, Teams, in-person) works
  • ✅ Notes stored as plain Markdown in ~/Meetings — portable, greppable, Obsidian-friendly
Pick Stable Audio if
  • ✅ Generates full tracks up to six minutes with strong prompt adherence
  • ✅ Open weights available for Medium and Small variants on Hugging Face
  • ✅ Trained on fully licensed data, reducing commercial-use risk
  • ✅ Hosted API plus self-host options cover most deployment shapes