Horch vs MockingBird

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

	Horch Audio	MockingBird Audio
Tagline	Privacy-first, on-device meeting assistant for macOS	Open-source Mandarin-first voice cloning that mimics a speaker from a 5-second sample.
Category	Audio	Audio
Pricing	Paid· One-time purchase: €49 once	Free· Free, open source (MIT)
Model	Whisper (local) for transcription; optional Ollama / MLX local LLMs for summarization	GE2E + Tacotron + HiFi-GAN/WaveRNN/Fre-GAN
Editorial score	—	7.0 / 10
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	voice-cloningtext-to-speechmandarin-ttsvoice-conversion
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 of the strongest open-source Mandarin voice cloning stacks MIT licensed, fully self-hostable with no per-call costs Works on Windows, Linux, and Apple Silicon Multiple vocoder choices and pretrained checkpoints included
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	Original author no longer actively maintains the repo Mandarin-first; English and other languages need DIY training Setup is fiddly: PyTorch, GPU, and external weight downloads required No hosted API; commercial successor noiz.ai is a separate product
Website	horch.app	github.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 MockingBird if

✅ One of the strongest open-source Mandarin voice cloning stacks
✅ MIT licensed, fully self-hostable with no per-call costs
✅ Works on Windows, Linux, and Apple Silicon
✅ Multiple vocoder choices and pretrained checkpoints included

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