ElevenLabs vs Fish Speech

Detailed side-by-side comparison to help you choose the right tool

ElevenLabs

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audio

Leading AI voice synthesis platform with realistic voice cloning and generation

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Starting Price

Free

Audio/Voice

Real-time AI voice model with emotion control and voice cloning capabilities for creating expressive, studio-quality audio content.

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Starting Price

Custom

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Feature	ElevenLabs	Fish Speech
Category	audio	Audio/Voice
Pricing Plans	8 tiers	8 tiers
Starting Price	Free
Key Features	• Workflow Runtime • Tool and API Connectivity • State and Context Handling	• Zero-shot voice cloning from 10–15 seconds of reference audio • Real-time inference with sub-150ms latency on consumer GPUs • Emotion and style control via reference audio prompting

✓Open-source core with Apache 2.0 licensing allows self-hosting and eliminates recurring API costs for teams with GPU infrastructure
✓Voice cloning requires only 10–15 seconds of reference audio, significantly less than competitors like XTTS which recommend 6+ seconds of clean studio audio
✓Sub-150ms inference latency on consumer GPUs enables real-time applications without enterprise-grade hardware
✓Supports 13+ languages with cross-lingual transfer, allowing a voice cloned in English to speak in Japanese or French
✓Active open-source community with 15,000+ GitHub stars and regular model updates
✓Free tier includes 10,000 characters per day, which is sufficient for evaluation and light personal use

✗Voice cloning raises ethical concerns around consent and potential misuse for impersonation or deepfake audio — platform relies on user-reported violations rather than proactive detection
✗Emotion control is indirect (via reference audio selection) rather than explicit parameter-based, making precise emotional targeting less predictable than ElevenLabs' style controls
✗Self-hosted deployment requires an NVIDIA GPU with at least 4GB VRAM, which limits accessibility for users without dedicated hardware
✗Output quality degrades noticeably for languages with smaller training datasets (e.g., Arabic, Portuguese) compared to English and Mandarin
✗The CC-BY-NC-SA license on certain fine-tuned checkpoints restricts commercial use unless you train or use the Apache-licensed base model
✗Documentation is partially in Chinese, which can be a barrier for English-only developers

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