Fish Audio
Free
Fish Audio is an
FishAudio
Core parameters and statistics
Specific technical parameters (such as model size, context length, supported file formats, input and output restrictions, etc.) are subject to the official product page. It is recommended that users verify the latest technical specifications and system requirements before choosing to ensure that they match their own usage scenarios.
User and market recognition
Fish Audio’s recognition mainly comes from the open source model community and developer ecosystem. The number of paid users and revenue of the platform have not been officially disclosed.
Open source community popularity: Fish-Speech warehouse has about 30,725 stars and 2,622 forks. It is a leading project in the open source TTS track. The warehouse describes itself as "SOTA Open Source TTS". A higher community volume means that the model has a lot of third-party verification and secondary development.
Typical adoption groups: It is often used by content teams who need batch dubbing, virtual anchors, audiobooks, games and video narration, as well as developers who want to self-deploy speech models.
Prerequisites for implementation: Voice cloning involves sound copyright and compliance risks, and the source of authorization needs to be confirmed before large-scale use; self-deployment of open source models requires GPU computing power and engineering capabilities, otherwise a hosting platform is more trouble-free.
Cost advantage
- C-side/Individual: Usually a free version is provided to experience the core functions, and high-frequency use requires a paid package subscription.
- API/Developer: Billed by call volume, suitable for development teams that can be flexibly integrated into their own systems.
- Enterprise/Privatized: Contact the business owner for customized quotation and deployment plan. The specific price is subject to the official real-time pricing page.
Main functions
- Text to Speech (TTS): Synthesize text into natural speech, emphasizing tone and emotional control, suitable for dubbing and audio content.
- Voice Clone: Clone specific timbres based on reference audio for personalized voice and consistent narration.
- Multi-language synthesis: Supports multi-language text input, and serves cross-language dubbing and localization.
- API access: Programmatically generate voices in batches to facilitate access to the content production pipeline.
- Open source model self-deployment: Self-deploy the model through the Fish-Speech warehouse, suitable for teams that require privatization or in-depth customization.
The key to implementing the function lies in: licensing compliance for cloned sounds, tone coherence for long text synthesis, and stability and latency during batch calls.
Model and version evolution
Continuous iterative updates, the latest version introduces performance optimization and new features. Historical version information can be viewed on the official release page. There is no complete public version evolution timeline yet. It is recommended to pay attention to the official announcement to understand the rhythm of feature updates.
Technical advantages
- Open Source Controllable → Reduce Supplier Binding: Model open source allows the team to self-deploy, audit, and fine-tune, avoiding being tied to a single closed-source service, and long-term costs and data flow are more controllable.
- Emotional modeling → Improving naturalness: Focusing on tone and emotional control, making the synthesized voice closer to real-person expression, making it more competitive in scenes sensitive to naturalness such as dubbing and audio books.
- Platform + API engineering → easy to scale: Provide a hosting platform and API on top of the open source model, so that teams without computing power can directly call it and transform research results into usable product capabilities.
This route of "open source base + engineering platform" determines that it can serve both engineering teams pursuing privatization and content teams who just want to speak out quickly.
How to use
- Online Platform: Visit the official website console, enter text and select a tone to generate a voice, or upload a reference audio for voice cloning.
- API access: After applying for a key, generate voices in batches through API and access content production or application backend.
- Self-deployed open source model: Obtain the model and code from the Fish-Speech GitHub repository and deploy it on your own GPU for privatization or customization scenarios.
The path needs to be clear before first use: for lightweight experience, go to the online platform; for large-scale or privatization needs, evaluate API billing and self-deployed computing power costs. When it comes to voice cloning, always confirm the authorized source of the reference sound.
Product Pricing
The pricing model is subject to the official real-time page. Usually a freemium or subscription system is used, and basic functions can be used for free. Advanced functions or high-frequency use require paid subscriptions, and users are advised to evaluate the optimal solution based on actual usage.
Application scenarios
- Content dubbing and audiobooks: Batch generate emotional narrations for videos, podcasts, and audiobooks to reduce manual recording costs.
- Virtual Anchor and Digital Person: Provide real-time or offline voice with consistent timbre for digital persons/avatars.
- Multi-language localization: Synthesize the same script into multi-language voices to serve overseas content and localized dubbing.
The verification focus of each scene is different: dubbing focuses on tone coherence and naturalness, digital human focuses on delay and timbre consistency, and localization focuses on multi-language pronunciation accuracy and copyright compliance.
Applicable people
- Content Creators and Media Teams: Individuals and teams who need batch, low-cost, and highly natural dubbing.
- Developers and product teams: Hope to embed voice capabilities into their own applications through API or self-deployment.
- Engineering teams that require privatization: Due to data compliance or customization needs, tend to self-host open source speech models.
Not suitable for the boundary: Teams that are not sure about the compliance of voice cloning authorization, or lack GPU and engineering capabilities but require privatization, need to solve the compliance and computing power prerequisites first; light users who only need to occasionally generate a small amount of voice can directly use the online platform without self-deployment.
Summary and Outlook
Fish Audio's core competitiveness is to make "speech synthesis with strong emotional expressiveness" into an open source model and hosting platform at the same time: the open source Fish-Speech provides a self-deployable and customizable base, and the online platform and API allow teams without computing power to use it directly. The open source community of about 30,000 stars and continuous model iteration indicate that its technical route has been widely verified. The current limitations are: the precise pricing of the online platform, free quota, and the capabilities of OpenAudio S1 have not been fully disclosed by the official, and voice cloning also involves copyright compliance risks.
Implementation suggestions: Content teams can first use the online platform to run through dubbing and cloning samples to verify the timbre and naturalness; teams with large-scale or privatization needs can then compare API billing and self-deployed computing power costs, and confirm the open source license terms and voice authorization source before formal commercial use.
Related tools: 
ElevenLabs, udio
Comparison of competing products
| Comparison dimensions | Fish Audio | Competitor A | Competitor B |
|---|---|---|---|
| Core Differences | — | — | — |
| Price | — | — | — |
| Target Users | — | — | — |
Note: The above comparison is based on product public information, and actual differences are based on user experience.
Version Info
- Fish-Speech v1.5.1 ：The latest tagged version published by the open source model warehouse GitHub Releases continues the main line of multi-language, low-latency and high-expressive speech synthesis; the online platform also has updated models such as OpenAudio S1, which is subject to the official real-time page.
- Fish-Speech v1.4 ：An important iteration to expand multilingual training data and improve synthetic naturalness. There is no official precise date yet, please refer to the official release page.
- Fish-Speech v1.0 ：An early milestone in the main line of open source TTS models, establishing multi-language text-to-speech and speech cloning capabilities. There is no official precise date yet, please refer to the official release page.
User Reviews