Fish Audio vs Horch

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

	Fish Audio Audio	Horch Audio
Tagline	Expressive, emotion-controllable text-to-speech and voice cloning with an open-model heritage	Privacy-first, on-device meeting assistant for macOS
Category	Audio	Audio
Pricing	Freemium· Basic: $10 · Pro: $20 · Enterprise: Contact sales	Paid· One-time purchase: €49 once
Model	Fish Audio S2.1 Pro (in-house); S1 and S2 checkpoints open-sourced	Whisper (local) for transcription; optional Ollama / MLX local LLMs for summarization
Editorial score	—	—
Use cases	YouTube video voiceoverAudiobook narrationGame and animation character voicesCustomer support voice botsIVR and phone agentsAccessibility text-to-speechPodcast intro and ad readsReal-time streaming voice agentsInstant voice cloning for personal avatarsMultilingual dubbing	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	Emotion-tag control system ([angry], [whispering], [laughing], [pause]) gives fine prosodic steering that most TTS APIs lack Instant voice cloning from ~10-15 seconds of reference audio Voice Library of 2M+ community voices to browse instead of training your own 30+ language coverage across the same models Streaming API with low enough latency for real-time voice agents S1 and S2 model checkpoints published on GitHub for self-hosting Symmetric STT that recognises the same emotion tags used for TTS	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	Free tier is explicitly non-commercial - monetised use requires a paid plan Public pricing is opaque - tier prices sit behind sign-in and shift with promos Community-uploaded voices raise consent and IP questions the platform pushes onto the user S2.1 Pro (the best model) is closed - only older S1/S2 are open source Cloning quality on non-English voices is more uneven than on English No native long-form audiobook chaptering workflow - you script and stitch yourself	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	fish.audio	horch.app

Pick Fish Audio if

✅ Emotion-tag control system ([angry], [whispering], [laughing], [pause]) gives fine prosodic steering that most TTS APIs lack
✅ Instant voice cloning from ~10-15 seconds of reference audio
✅ Voice Library of 2M+ community voices to browse instead of training your own
✅ 30+ language coverage across the same models

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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