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12 Best Fish Audio Alternatives (2026)

Fish Audio is hosted multilingual tts api (openaudio s-series models) priced per million utf-8 bytes, with instant voice cloning and websocket streaming.. Teams that switch usually cite price at production volume, language coverage, self-hosting and license control. The alternatives below are ranked by published head-to-head verdicts, not sponsorship.

Not ready to switch? Full Fish Audio review →

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Reviewed by vsref Editorialfacts verified Sep 23, 2026Methodology →

Where to switch, by reason

Switching because of price at production volume →see Cartesia
Switching because of language coverage →see Inworld TTS
Switching because of self-hosting and license control →see Voxtral TTS
Switching because of audiobooks →see Azure Speech
Switching because of content creators →see ElevenLabs
Premium AI voice platform for creators and developersvs Fish Audio: ~565% pricier, about half the languages.Best if you need: content creators, developers, dubbing, voice agents
Multilingual cloning-first TTS with aggressive pricingvs Fish Audio: ~565% pricier, ~150% slower.Best if you need: content creators, developers
Cloud-utility TTS at commodity pricesvs Fish Audio: roughly double the price, about half the languages, no instant voice cloning.
Enterprise hyperscaler TTS with custom-voice depthvs Fish Audio: ~45% pricier, ~20% more languages.
Localization-first TTS: the MARS 8 family (flash/pro/instruct variants) plus dubbing and translated-TTS pipelines, credit-based plans from $5/mo, aimed at media, sports, and content going multilingual.vs Fish Audio: ~70% more languages.
Lowest-latency TTS for real-time voice agentsvs Fish Audio: about half the languages.
Production-minded open TTS from a commercial voice company - MIT license, built-in watermarking, and a fast Turbo variant, with Resemble's paid API as the scale-up path.vs Fish Audio: about half the languages, no streaming audio output.
#8ChatTTS logoChatTTSOSS
Optimized for natural dialogue-style speech for LLM assistants; the licensing combination (AGPLv3+ code, CC BY-NC 4.0 weights, research/education only) rules out most commercial SaaS use without a separate deal.vs Fish Audio: about half the languages, no instant voice cloning.
Full-stack open TTS from Alibaba's speech team: 9 languages plus 18+ Chinese dialects, 150 ms streaming latency claim, instruction control of emotion/dialect/speed, and training + deployment scripts under Apache-2.0.vs Fish Audio: about half the languages.
Enterprise real-time voice-agent TTSvs Fish Audio: roughly double the price, roughly double the latency, no instant voice cloning.
Best-known open model for scripted two-speaker dialogue rather than narration - Apache-2.0, English-only, GPU-oriented.vs Fish Audio: about half the languages.
#12F5-TTS logoF5-TTSOSS
The go-to research-grade voice-cloning model - actively maintained and broadly ported, with the classic code-vs-weights license split: commercial products must retrain or license around the CC-BY-NC checkpoints.
See pricingVisit F5-TTS →
All 51 text-to-speech apis alternatives
Top-tier expressive multilingual open-weights TTS whose license moved from permissive to research/non-commercial; commercial use requires a license from Fish Audio or their hosted API.
Hyperscaler TTS with the broadest voice/language catalogvs Fish Audio: roughly double the price.
The de facto community standard for DIY voice cloning (60k GitHub stars), with a full WebUI covering dataset prep, ASR, training, and inference across five languages; MIT-licensed.vs Fish Audio: about half the languages, no streaming audio output.
Real-time voice-agent infrastructure play: WebSocket-first streaming TTS in 5 European languages with instant cloning, on-device models (Phonon), and credit-based pricing. Active and well-funded (site announced funding extension to $100M, July 2026).vs Fish Audio: about half the languages.
Usage-priced hosted TTS from xAI, part of the Grok Voice stack (TTS, STT, and a speech-to-speech Voice Agent API), aimed at developers who want low-latency voice output alongside Grok models.vs Fish Audio: about half the languages.
Strong emotional/expressive open TTS from a well-funded lab - but 'Apache-2.0' only covers the repo code; V2 weights carry a 100k-MAU community license and the newer V3 is research/non-commercial.
Expressiveness-first TTS (Octave understands the meaning of the text it speaks); subscription plans gate commercial use, with Octave 2 (preview) adding ~100ms latency and 11 languages for realtime use.vs Fish Audio: about half the languages.
Emotion-controllable zero-shot voice cloning for production use, but under a custom Bilibili license (not OSI-approved) with scale caps and AI-training restrictions.vs Fish Audio: about half the languages, no streaming audio output.
Cost-leader realtime TTS for voice agents and games; hybrid pay-as-you-go plus monthly credit plans that lower the per-1M-character rate as commitment grows; SOC 2 Type II with zero-data-retention posture.vs Fish Audio: ~2.5× the languages, roughly double the latency.
#22KittenTTS logoKittenTTSOSS
The lightweight/edge option: ONNX inference, sub-100 MB downloads, 8 built-in voices - trades voice cloning and multilinguality for footprint.vs Fish Audio: about half the languages, no streaming audio output.
#23Kokoro logoKokoroOSS
The lightweight quality-per-parameter champion of open TTS: Apache-2.0, easy to run anywhere, no voice cloning by design.vs Fish Audio: about half the languages, no streaming audio output.
See pricingVisit Kokoro →
Research-lab open TTS optimized for real-time streaming (Delayed Streams Modeling); Pocket TTS targets on-device/CPU deployment while the larger DSM TTS targets production streaming servers (Rust backend).vs Fish Audio: about half the languages.
#25LMNT logoLMNT
Speed-and-affordability challenger: a single fast model (Blizzard 2) with streaming-first APIs, unlimited voice clones on every tier, and flat subscription pricing with per-1K overage.vs Fish Audio: about half the languages, ~50% slower.
From $10/moVisit LMNT →
#26Maya1 logoMaya1OSS
Apache 2.0 expressive English TTS you can run on a single 16GB+ GPU; stands out for natural-language voice design and 20+ inline emotion tags rather than audio-sample cloning, with real-time streaming via vLLM.vs Fish Audio: about half the languages, no instant voice cloning.
See pricingVisit Maya1 →
#27MegaTTS3 logoMegaTTS3OSS
Research-grade Apache-2.0 TTS whose practical cloning is gated: the WaveVAE encoder is not released, so users must submit audio to ByteDance channels to obtain pre-extracted speaker latents (.npy) for cloning.vs Fish Audio: about half the languages, no streaming audio output.
API arm of the Murf studio platform: 150+ voices in 35 languages, SSML support, word timestamps, and Falcon 2 aimed at high-concurrency voice agents at $0.01/1K characters. Note: Murf Studio subscription plans (murf.ai/pricing) are a separate product from API pay-as-you-go pricing and API characters are purchased separately.vs Fish Audio: roughly double the price, about half the languages, no instant voice cloning.
Indie batch-content workhorse: aggregates a very broad voice/language catalog for voiceovers, audiobooks and video narration, priced per output minute (prepaid packs, no subscription) rather than per character; not aimed at real-time agent use.vs Fish Audio: ~20% more languages, no instant voice cloning.
Hybrid hosted + open-weights play: SSE/WebSocket streaming TTS API at app.neuphonic.com, and tiny CPU-only on-device models (NeuTTS-Air ~360M Apache-2.0, NeuTTS-Nano ~120M) in GGUF for phones/Raspberry Pi - privacy/edge-deployment angle. NOTE: the site's pricing page returned 404 at verification time; hosted-plan pricing treated as not published.vs Fish Audio: about half the languages.
A small, GPU-efficient 9-language TTS checkpoint for teams already in the NVIDIA NeMo/Riva ecosystem; commercially usable open weights, but zero-shot voice cloning was removed from the open release and it caps generations at about 20 seconds.vs Fish Audio: about half the languages, no streaming audio output.
Simple usage-based TTS inside a general AI platformvs Fish Audio: roughly double the price, no instant voice cloning.
The 'LLM-as-TTS' approach under Apache-2.0 - expressive and clonable, but repo activity has slowed since mid-2025.vs Fish Audio: about half the languages.
#34OuteTTS logoOuteTTSOSS
The llama.cpp-native option: runs via GGUF on CUDA/ROCm/Vulkan/Metal and even in the browser (Transformers.js). License splits by model: the 0.6B (Qwen3-based) is Apache-2.0, the 1B Llama-based flagship is CC-BY-NC-SA-4.0 (non-commercial).vs Fish Audio: about half the languages, no streaming audio output.
#35Piper logoPiperOSS
The pragmatic embedded/self-hosted choice: no cloning or frills, just quick offline speech in many languages - note the license change from MIT (archived rhasspy/piper) to GPL-3.0 in the successor repo.vs Fish Audio: no streaming audio output.
See pricingVisit Piper →
#36Qwen3-TTS logoQwen3-TTSOSS
Genuinely open weights (confirmed - not API-only since the Jan 2026 release): Apache-2.0 checkpoints on Hugging Face with an Alibaba Cloud DashScope API for hosted use.vs Fish Audio: about half the languages.
Security-first enterprise play: generation plus detection/verification in one platform, pay-as-you-go Flex credits, on-prem option, and the MIT-licensed open-source Chatterbox model family.
#38Rime logoRime
Enterprise conversational TTS (IVR, contact centers, voice agents) emphasizing ultra-low latency models (Coda, Mist, Arcana) and self-hosted deployment; usage-based pricing with a single published rate.vs Fish Audio: ~235% pricier, ~40% fewer languages, no instant voice cloning.
See pricingVisit Rime →
The go-to hosted TTS for Indian-language products (Hindi, Tamil, Telugu, Bengali and more) with REST, HTTP streaming and WebSocket APIs and prepaid INR pricing; not aimed at global multilingual coverage.vs Fish Audio: about half the languages, no instant voice cloning.
Speed- and price-led challenger from an India-focused voice AI startup; Waves is the speech-model API layer (Lightning TTS, Pulse STT), sold pay-as-you-go with $10 free credits, with HIPAA/SOC2/on-prem reserved for the Enterprise plan.vs Fish Audio: about half the languages.
Developer platform spun out of the Speechify brand: transparent tiered pricing ($10-$499/mo plus per-1M overage), streaming-native Simba 3.2, and a bundled voice-agents product with flat per-minute rates.vs Fish Audio: about half the languages, ~35% cheaper.
Budget low-latency English TTS for voice agents; priced at a fraction of premium voice APIs, but currently English-only with a small voice set and no SSML or voice cloning.vs Fish Audio: roughly double the latency, about half the languages, no instant voice cloning.
Differentiates on iterative audio *editing* (emotion, style, breathing, laughter, sighs, polyphone pinyin control) rather than plain synthesis; Apache-2.0 with training code (SFT/DPO/GRPO) and vLLM support.vs Fish Audio: about half the languages, no streaming audio output.
Expressive character voices (games, content, Korean/Japanese/English markets first, now 31 languages via Supertonic 3) on cheap credit-based subscriptions from $2.99/month; uniquely pairs the hosted API with the open OpenRAIL-M Supertonic model for on-device synthesis.vs Fish Audio: about half the languages.
Expressiveness play from a Korean AI-actor studio: strongest on emotion prompts/presets and character voices for content and conversational AI; separate consumer studio subscription ($8.99+) and developer API plans (Free/Lite/Plus).vs Fish Audio: ~365% pricier, roughly double the latency.
Pure price play: markets itself as up to 11x cheaper than ElevenLabs with a simple 3-endpoint API (stream/speech/synthesisTasks); smaller voice/language catalog and no voice cloning documented.vs Fish Audio: ~200% slower, about half the languages, no instant voice cloning.
#47VibeVoice logoVibeVoiceOSS
The open long-form/multi-speaker specialist - MIT weights, but Microsoft pulled the TTS code from the repo in Sept 2025 and frames the models as research-only.vs Fish Audio: about half the languages, no instant voice cloning.
A frontier-lab open-weight TTS you can run on a single 16GB GPU; the CC BY-NC license makes it evaluation/research-only, with Mistral's paid API as the commercial route.vs Fish Audio: about half the languages.
Open-weights-friendly voice cloning TTS from a frontier AI labvs Fish Audio: about half the languages, ~30% faster.
Enterprise voiceover specialist: polished Studio product for L&D/marketing narration with an API on the side; API pricing is contact-sales, and compliance (SOC 2 Type II, GDPR) and ethical voice sourcing are the pitch.vs Fish Audio: no instant voice cloning.
The legacy standard for open voice cloning: dormant upstream since Coqui's Jan 2024 shutdown (community fork idiap/coqui-ai-TTS carries maintenance), and CPML weights bar commercial use.vs Fish Audio: about half the languages, no streaming audio output.

How the top Fish Audio alternatives compare

The top 6 in depth: where each alternative ranks across the Text-to-speech APIs field we track, which use cases it takes from Fish Audio, and what switching gives up.

1. ElevenLabs

Among the 15 text-to-speech tools we track, ElevenLabs has the 1st-largest voice library and the 2nd-fastest time-to-first-byte - a fit for content and character work and real-time, conversational apps.

Our use-case verdicts have ElevenLabs ahead of Fish Audio for content creators, developers, dubbing and voice agents.

Seen from the other side, Fish Audio vs ElevenLabs: ~2.5× the languages, ~85% cheaper.

ElevenLabs lists $100 per 1M characters, verified July 2026.

Why teams switch: For content creators, voice quality range and predictable subscription pricing are the key criteria. ElevenLabs offers 3,000 voices versus no verified library count for Fish Audio, plus professional voice cloning, pronunciation dictionaries, SSML support, and word-level timestamps that polish final output. Its hybrid pricing with a $6/mo entry plan and 30,000 chars included gives predictable budgeting. Fish Audio's flagship model at $15/1M bytes is cheaper at scale, but ElevenLabs' richer feature set for production voiceover work tips the balance narrowly toward it. Content Creators verdict →

Overall verdict: ElevenLabs wins 4 of 5 decided use cases against Fish Audio's 1. Supporting facts reinforce this lead: ElevenLabs offers 3,000 voices, SOC 2 Type II compliance, SSML, word-level timestamps, pronunciation dictionaries, and a 75 ms TTFB versus Fish Audio's 100 ms. Fish Audio's flagship pricing at 15 dollars per 1M bytes is cheaper than ElevenLabs' 100 dollars per 1M chars, giving Fish Audio a cost edge, but ElevenLabs' broader ecosystem and feature depth make it the safer default for most buyers.

ElevenLabs cost at monthly volume tiers
Monthly volume$ / 1M chars$ / audio-minMonthly bill
200K chars/moHobby project$100$0.095$20
2M chars/moProduct feature$100$0.095$200
20M chars/moAt scale$100$0.095$2,000

Usage-priced at $100 per 1M characters (≈ $0.095 per audio-minute), verified Jul 20, 2026. Effective rates from published pricing; subscription plans resolve to plan fee plus overage. ~950 characters ≈ 1 audio minute. How we compute costs →

Full ElevenLabs vs Fish Audio comparison → · ElevenLabs review →

2. MiniMax Speech

Among the 46 text-to-speech tools we track, MiniMax Speech has the 10th-widest language coverage - a fit for multilingual and localization projects.

Head-to-head, MiniMax Speech takes content creators and developers from Fish Audio.

Before switching, weigh what stays behind - Fish Audio vs MiniMax Speech: ~2× the languages, ~85% cheaper.

Its published rate is $100 per 1M characters, verified July 2026.

Why teams switch: For content creators, MiniMax Speech offers a predictable hybrid pricing model with a $5/mo entry plan and tiered subscriptions, matching the need for budget predictability. It supports 40 languages with word-level timestamps, pronunciation dictionaries, and emotion and style controls, all useful for polished voiceover work. Fish Audio is cheaper per character at $15/1M bytes versus $100/1M chars for MiniMax flagship, but MiniMax's subscription structure and richer production features like timestamps and pronunciation dictionaries tip it narrowly for content creator workflows where consistency and tooling matter more than raw API cost. Content Creators verdict →

Overall verdict: Fish Audio wins 4 of 6 use case verdicts versus MiniMax Speech's 2. It also leads on core metrics: flagship pricing at 15 $/1M UTF-8 bytes versus 100 $/1M chars, TTFB of 100 ms versus 250 ms, 83 languages versus 40, and a self-host option MiniMax lacks entirely. MiniMax retains advantages in concurrency (60 RPM base vs 5) and developer tooling extras like word timestamps. Even so, Fish Audio is the safer default for most buyers across price, latency, and deployment flexibility.

MiniMax Speech cost at monthly volume tiers
Monthly volume$ / 1M chars$ / audio-minMonthly bill
200K chars/moHobby project$100$0.095$20
2M chars/moProduct feature$100$0.095$200
20M chars/moAt scale$100$0.095$2,000

Usage-priced at $100 per 1M characters (≈ $0.095 per audio-minute), verified Jul 20, 2026. Effective rates from published pricing; subscription plans resolve to plan fee plus overage. ~950 characters ≈ 1 audio minute. How we compute costs →

Full MiniMax Speech vs Fish Audio comparison → · MiniMax Speech review →

3. Amazon Polly

Among the 10 text-to-speech tools we track, Amazon Polly has the 1st-cheapest fast-model rate and the 10th-widest language coverage - a fit for multilingual and localization projects.

The reverse angle matters too - Fish Audio vs Amazon Polly: ~2× the languages, about half the price, adds instant voice cloning.

Published pricing starts at $30 per 1M characters, verified July 2026.

Amazon Polly cost at monthly volume tiers
Monthly volume$ / 1M chars$ / audio-minMonthly bill
200K chars/moHobby project$30$0.0285$6
2M chars/moProduct feature$30$0.0285$60
20M chars/moAt scale$30$0.0285$600

Usage-priced at $30 per 1M characters (≈ $0.0285 per audio-minute), verified Jul 20, 2026. Effective rates from published pricing; subscription plans resolve to plan fee plus overage. ~950 characters ≈ 1 audio minute. How we compute costs →

Amazon Polly review →

4. Azure Speech

Among the 46 text-to-speech tools we track, Azure Speech has the 3rd-widest language coverage and the 6th-cheapest flagship rate - a fit for multilingual and localization projects and cost-sensitive, high-volume work.

Before switching, weigh what stays behind - Fish Audio vs Azure Speech: ~30% cheaper, ~15% fewer languages.

Its published rate is $22 per 1M characters, verified July 2026.

Azure Speech review →

5. CAMB.AI

Among the 46 text-to-speech tools we track, CAMB.AI has the 2nd-widest language coverage - a fit for multilingual and localization projects.

The reverse angle matters too - Fish Audio vs CAMB.AI: about half the languages.

CAMB.AI review →

6. Cartesia

Among the 46 text-to-speech tools we track, Cartesia has the 9th-widest language coverage and the 3rd-fastest time-to-first-byte - a fit for multilingual and localization projects and real-time, conversational apps.

The reverse angle matters too - Fish Audio vs Cartesia: ~2× the languages, ~10% slower.

Cartesia review →