AudioCraft vs Horch

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

	AudioCraft Audio	Horch Audio
Tagline	Meta's open-source research toolkit for generating music and sound effects from text via a single autoregressive language model.	Privacy-first, on-device meeting assistant for macOS
Category	Audio	Audio
Pricing	Free· Free and open source; self-hosted	Paid· One-time purchase: €49 once
Model	MusicGen, AudioGen, EnCodec	Whisper (local) for transcription; optional Ollama / MLX local LLMs for summarization
Editorial score	8.2 / 10	—
Use cases	text-to-musicsound-effectsaudio-compressionresearchself-hosted-generation	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
Pros	Fully open source with code and weights published by Meta Single-LM architecture is simpler than diffusion pipelines Covers music, sound effects, and neural codec in one repo Strong baseline used widely in audio ML research No usage fees once self-hosted	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
Cons	No hosted product or managed API - you must run it yourself Model weights typically CC-BY-NC, limiting commercial use Requires GPU and ML tooling to operate Output quality trails newer commercial models like Suno v4	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
Website	audiocraft.metademolab.com	horch.app

Pick AudioCraft if

✅ Fully open source with code and weights published by Meta
✅ Single-LM architecture is simpler than diffusion pipelines
✅ Covers music, sound effects, and neural codec in one repo
✅ Strong baseline used widely in audio ML research

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

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