Horch vs VoxAI

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

	Horch Audio	VoxAI Audio
Tagline	Privacy-first, on-device meeting assistant for macOS	Local macOS conversation recorder with live AI copilot and speaker-labelled transcripts
Category	Audio	Audio
Pricing	Paid· One-time purchase: €49 once	Paid· FREE TRIAL: US$0 · EARLY BIRD · REGULAR: US$19.90
Model	Whisper (local) for transcription; optional Ollama / MLX local LLMs for summarization	Bring-your-own via MCP (Claude, GPT, or other MCP-compatible clients)
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	Real-time meeting transcription with speaker labelsLive AI copilot during sales calls and negotiationsInterview capture and structured note generation1:1 and standup summarisationQualitative research transcriptionPersonal searchable voice memory archiveFeeding conversation history to Claude Code or Cursor via MCPPost-call action item and follow-up extractionMarkdown export into Notion or Obsidian knowledge bases
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	One-time ~$20 purchase with permanent license for two Macs — no recurring subscription Local-first: recordings and transcripts stay on the Mac in a permanent archive Live AI copilot reads the growing transcript and offers real-time suggestions during the call Automatic speaker diarisation with per-speaker labels Four purpose-built modes for meetings, phone calls, in-person chats, and voice sessions Exposes conversations via a local MCP server so Claude Code, Codex, or Cursor can query them Clean Markdown export for pasting into Notion, Obsidian, or a CRM 10 full-feature sessions free with no signup required
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	macOS only — no Windows, Linux, iOS, web, or mobile client Requires wiring up an external AI provider for the copilot and post-call generation Solo-app model: no team workspace, shared library, or admin console Small indie product from a single developer domain — long-term support is not guaranteed MCP integration assumes users are already comfortable with Claude Code / Cursor tooling No native CRM, calendar, or Zoom bot integrations — capture is whatever the Mac hears
Website	horch.app	voxai.ethanflow.com

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 VoxAI if

✅ One-time ~$20 purchase with permanent license for two Macs — no recurring subscription
✅ Local-first: recordings and transcripts stay on the Mac in a permanent archive
✅ Live AI copilot reads the growing transcript and offers real-time suggestions during the call
✅ Automatic speaker diarisation with per-speaker labels

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