Fish Audio Integrations

VoiSpark is a cutting-edge online tool that transforms written text into realistic voice audio in more than 30 languages and dialects, offering over 100 voice templates that represent a range of ages, accents, and character types. The platform supports real-time streaming and combines various technologies, including open-source models like Nari Labs Dia and premium solutions such as ElevenLabs, all accessible via a user-friendly web interface or REST API. Users can easily customize voice attributes with simple sliders, and the context-sensitive generation ensures that pacing and tone are tailored to the specifics of any script. For a seamless experience, the platform provides instant 30-second voice previews, allowing users to try out different voices without any obligation, while accommodating various input methods such as typing, PDF uploads, and integration with Google Docs, with outputs available in MP3 or WAV formats for easy editing. Additionally, advanced features include the ability to clone voices from short samples, toggle between "professional" and "expressive" voice models for different degrees of clarity and creativity, and perform batch generation, which meets diverse requirements for podcasts, e-learning content, audiobooks, video dubbing, social media clips, and character voices in games. With its extensive functionality and adaptability, VoiSpark stands out as an excellent option for individuals and businesses aiming to elevate their audio production with high-quality voice generation, making it a go-to resource for enhancing multimedia projects.

Vision Agents is an adaptable open-source Python framework aimed at creating low-latency voice and video AI agents that can utilize any model available. This innovative framework allows developers to seamlessly incorporate large language models, speech recognition, and vision models from more than 25 different providers, making it possible to develop real-time agents for various applications such as telehealth, voice assistance, live coaching, video analysis, interactive avatars, security surveillance, sports commentary, and numerous other multimodal functions. Its architecture is specifically designed to support the development of agents that can listen, speak, see, process media, access tools, and offer instant responses, all functioning on Stream's vast global edge network, which guarantees latency below 500ms. Developers can easily begin building their first agent with just a minimal Python setup by utilizing platforms like Gemini Realtime, OpenAI, Deepgram, ElevenLabs, Stream, or other compatible providers. In addition, Vision Agents supports both real-time speech-to-speech models and customizable pipelines for speech-to-text, language processing, and text-to-speech, which enables teams to quickly launch a fully operational voice agent or maintain comprehensive control over the various components involved in speech recognition, language reasoning, and text-to-speech processes. Overall, this framework not only streamlines the development of advanced AI agents but also significantly boosts flexibility and performance across a wide range of applications, making it an essential tool for developers in the AI space. Its ability to integrate multiple functionalities into a single platform further highlights its value in modern AI development.