Dia vs Horch

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

	Dia Audio	Horch Audio
Tagline	Open-weights 1.6B text-to-dialogue model that generates ultra-realistic multi-speaker conversations in one pass.	Privacy-first, on-device meeting assistant for macOS
Category	Audio	Audio
Pricing	Free· Free, open weights (Apache 2.0); hosted larger version waitlisted	Paid· One-time purchase: €49 once
Model	Dia-1.6B	Whisper (local) for transcription; optional Ollama / MLX local LLMs for summarization
Editorial score	7.3 / 10	—
Use cases	dialogue-generationvoice-cloningpodcast-prototypinggame-voice-actingtext-to-speech	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	Open weights under Apache 2.0 with first-party Transformers support Multi-speaker [S1]/[S2] dialogue and nonverbal tags in a single pass Zero-shot voice cloning from a short audio prompt plus transcript Runs ~2x realtime on a single RTX 4090 at ~4.4GB VRAM Free Hugging Face ZeroGPU Space to try without local GPU	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	English only; no built-in multilingual support Voices drift between runs unless you fix a seed or supply a prompt GPU required; CPU inference not yet supported Tiny team (1.5 engineers); slower issue turnaround than commercial TTS	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	github.com	horch.app

Pick Dia if

✅ Open weights under Apache 2.0 with first-party Transformers support
✅ Multi-speaker [S1]/[S2] dialogue and nonverbal tags in a single pass
✅ Zero-shot voice cloning from a short audio prompt plus transcript
✅ Runs ~2x realtime on a single RTX 4090 at ~4.4GB VRAM

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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