Horch vs Vapi

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

	Horch Audio	Vapi Audio
Tagline	Privacy-first, on-device meeting assistant for macOS	Developer platform for building, deploying, and scaling production voice AI agents
Category	Audio	Audio
Pricing	Paid· One-time purchase: €49 once	Freemium· Build: Usage based · Scale: Contact Us
Model	Whisper (local) for transcription; optional Ollama / MLX local LLMs for summarization	Model-agnostic: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Groq, DeepSeek, Llama; STT/TTS via Deepgram, ElevenLabs, PlayHT, Cartesia, Azure
Editorial score	—	—
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	AI phone receptionistOutbound lead qualification callsAppointment scheduling and remindersVoice-based customer supportOrder taking and reservationsIVR replacementVoice-driven surveys and market researchDebt collection and payment remindersInsurance intake callsVoice interface for internal tools
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	Model-agnostic stack lets you swap LLM, STT, and TTS providers per assistant and bring your own API keys Handles the real-time voice plumbing (interruption detection, endpointing, barge-in, backchanneling) that is painful to build from scratch First-class REST API and SDKs across Node, Python, Web, iOS, Android, Flutter, and React Native Built-in telephony: provisions phone numbers, supports SIP trunks, and covers inbound and outbound calls Tool/function calling and 25+ prebuilt integrations (Salesforce, HubSpot, Zapier, Make, Cal.com, etc.) for real workflows Enterprise compliance path: SOC 2, HIPAA (add-on), PCI, SSO, RBAC, Zero Data Retention available Transparent per-minute platform fee with model costs passed through at cost rather than marked up opaquely
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	Total cost is hard to predict because platform fee, LLM, STT, TTS, and telephony are billed separately and stack up HIPAA compliance and Zero Data Retention are paid add-ons ($2,000/mo and $1,000/mo) rather than included Latency and voice naturalness ultimately depend on the third-party providers you choose, not Vapi itself Build plan retains call history only 14 days and chat history 30 days, so long-term analytics require your own pipeline Not a no-code tool — meaningful agents still require prompt engineering, tool wiring, and webhook code Concurrency beyond 10 lines costs $10/line/month, which adds up for high-volume outbound campaigns
Website	horch.app	vapi.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 Vapi if

✅ Model-agnostic stack lets you swap LLM, STT, and TTS providers per assistant and bring your own API keys
✅ Handles the real-time voice plumbing (interruption detection, endpointing, barge-in, backchanneling) that is painful to build from scratch
✅ First-class REST API and SDKs across Node, Python, Web, iOS, Android, Flutter, and React Native
✅ Built-in telephony: provisions phone numbers, supports SIP trunks, and covers inbound and outbound calls

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