G2

Halide C.

job looker

Small-Business (50 or fewer emp.)

8/18/2026

"Fish Audio: Expressive, Low-Latency TTS with Open Weights and a Developer-Friendly API"

4/5

What do you like best about Fish Audio?

What I like most about Fish Audio is how it balances a clean, no-frills web UI (playground, Story Studio for multi-character long-form narration, and a 2M+ community voice library) with genuinely production-grade engineering: the S2/S2.1-Pro models deliver expressive, emotion-tagged TTS and 10–15s zero-shot voice cloning that beats ElevenLabs on prosody in several non-English languages, while the REST + WebSocket API with official Python/TypeScript SDKs, LiveKit/Pipecat hooks, llms.txt/OpenAPI specs and an agent skill for Cursor/Claude/Codex make it one of the most developer-friendly voice stacks out there, all running at sub-500ms streaming latency suitable for real-time voice agents and conversational AI. Performance-wise it scales from free prototyping to pay-as-you-go API at ~$15 per 1M UTF-8 bytes and Plus/Pro tiers from ~$11–$100/month, which is roughly a sixth of ElevenLabs’ cost for comparable output, and the open-weight Fish-Speech/S1/S2 models let teams self-host in VPC or air-gapped environments when they need data residency. After-sales support is lighter than enterprise incumbents—email plus docs, no white-glove SLA on lower tiers—but the open-source heritage (So-VITS-SVC, Bert-VITS2 lineage), transparent blind-test benchmarks (Audio Turing score 0.515 on S2.1 Pro) and active Discord/Hacker News/Reddit community partly compensate for the lack of hand-holding. On agents specifically, it’s a standout: inline direction tags like [whisper] or [chuckle] travel inside the text, ASR+TTS+clone live in one stack, and interruption-aware streaming makes it easy to wire into Retell/HeyGen-style assistants, so the thing I’d keep over any competitor is the combination of low-cost expressive quality, open weights, and an API surface that treats voice as a programmable performance layer rather than a black-box narration button. Review collected by and hosted on G2.com.

What do you dislike about Fish Audio?

What I like least about Fish Audio is that the things that make it appealing to developers—open weights, byte-metered API, inline emotion tags, concurrency-gated tiers—are exactly what make it feel rough around the edges for everyone else: the web UI is functional but unpolished compared to ElevenLabs’ Studio, with no real waveform editor, light post-processing, or non-technical project-management layer, so creators still bounce to external DAWs; the 2M+ community voice library is huge but unmoderated, so commercial users have to manually audition voices and carry the licensing/consent risk themselves since public voices are not automatically cleared; integrations cover REST/WebSocket/Python/TS plus LiveKit/Pipecat/MCP hooks but stop short of first-class LangChain/LlamaIndex wrappers, deeper no-code connectors, or the bundled STT-LLM-TTS orchestration that more mature voice-agent stacks ship, leaving you to wire interrupt handling, retry, and concurrency math yourself against a prepaid-spend concurrency ladder rather than simple QPS; performance is genuinely fast (sub-150ms TTFA) yet English long-form stability and smaller-language fidelity still trail ElevenLabs, emotion tags occasionally fire inconsistently, and 15-second clones degrade sharply on noisy reference audio; pricing is cheap on paper (~$15/M UTF-8 bytes) but the credit/byte/audio-hour mixing, non-rolling monthly quotas, and free tier capped at a few thousand characters per day make real cost modeling annoying for irregular teams; after-sales is email-plus-docs with no published SLA on self-serve tiers, and the compliance story (no clear SOC 2/HIPAA/ISO posture, thin DPA, ambiguous prompt-training opt-out) blocks healthcare/finance/government buyers despite the self-host escape hatch; and on agents specifically, while inline tags and streaming latency are great for prototyping, production voice agents still need you to build turn-taking, barge-in, session memory, and fallback logic on top, with S2’s removed LoRA fine-tune path and tag-placement sensitivity meaning you trade ElevenLabs-style “set stability/clarity/style sliders and forget it” for more prompt engineering and more eval work—so the honest downside is that Fish Audio is a fantastic programmable voice engine, not a finished enterprise narration or conversational-platform product. Review collected by and hosted on G2.com.

What problems is Fish Audio solving and how is that benefiting you?

What Fish Audio solves is the fundamental problem of making high-quality, expressive, and low-latency voice synthesis and cloning accessible and programmable, moving away from rigid, robotic text-to-speech and expensive proprietary black boxes. For me, the help it provides is deeply practical: it has significantly improved my interview skills by serving as the "voice engine" for my personal AI interview coach. By integrating it with a language model that acts as an interviewer, Fish Audio allows me to generate highly realistic, multi-language, and emotion-tagged responses and follow-up questions—using either a cloned professional voice or a natural-sounding AI tone—which creates a deeply immersive and low-pressure environment for practicing STAR method answers and refining my spoken delivery. This capability to produce on-demand, lifelike audio feedback and self-assessment loops means I can rehearse endlessly with a "human-like" partner anytime, effectively turning abstract interview prep into a dynamic, auditory training session that has tangibly boosted my confidence and communication polish. Review collected by and hosted on G2.com.