Deepgram vs Horch

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

	Deepgram Audio	Horch Audio
Tagline	Production-grade speech-to-text, text-to-speech, and voice-agent APIs for real-time and batch audio.	Privacy-first, on-device meeting assistant for macOS
Category	Audio	Audio
Pricing	Freemium· Free credits on signup; usage-based pricing; enterprise contracts available	Paid· One-time purchase: €49 once
Model	Nova, Flux, Speak (proprietary)	Whisper (local) for transcription; optional Ollama / MLX local LLMs for summarization
Editorial score	7.9 / 10	—
Use cases	speech-to-texttext-to-speechvoice-agentscall-center-analyticsreal-time-transcription	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	Very low latency streaming STT suitable for real-time voice agents Self-hosted deployment option for regulated industries Unified Voice Agent API bundles STT + TTS + LLM orchestration Multilingual conversational STT via Flux across 10 languages	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	Pricing not transparent on the marketing site Not open source; vendor lock-in on proprietary models Product lineup (Nova vs Flux vs Agent) can confuse first-time evaluators	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	deepgram.com	horch.app

Pick Deepgram if

✅ Very low latency streaming STT suitable for real-time voice agents
✅ Self-hosted deployment option for regulated industries
✅ Unified Voice Agent API bundles STT + TTS + LLM orchestration
✅ Multilingual conversational STT via Flux across 10 languages

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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