Infer is a unified API platform that provides access to over 60 generative AI models for video, image, audio, and vision processing. The service is designed to consolidate multiple multimodal AI capabilities into a single interface, allowing users to generate and manipulate media through one integration point. The platform supports a range of frontier models including Veo 3.1, Flux, Kling, Seedance, Hailuo, and ElevenLabs, among others. Infer offers drop-in software development kits (SDKs) for Python, TypeScript, and Go, and operates on a pay per use pricing model with an unlimited plan available for $49 per month after a one day free trial. The platform’s main features include image generation, video generation, voice and audio synthesis, vision and segmentation, and editing and restoration. For image and video generation, Infer supports frontier text to image and text to video models. Voice and audio capabilities include ElevenLabs v3 text to speech with support for over 70 languages and inline emotion control. Vision and segmentation tools allow users to isolate, track, and manipulate objects within images or videos. The editing and restoration feature enables users to modify images and videos using plain language instructions. Infer also supports running custom or open weight models at any scale. Typical use cases for Infer include building applications that require multimodal content generation, such as creating marketing visuals, generating video content, producing synthetic voiceovers, and performing object segmentation for augmented reality or video editing workflows. The workflow generally involves selecting a model from the available library, sending a request through the unified API, and receiving the generated or processed output. For teams operating at larger scales, Infer offers add on features including reserved capacity, private endpoints, and compliance packages. Technical requirements for using Infer include an internet connection and the ability to integrate with the provided SDKs or direct API calls. The platform is purpose built for image, video, audio, and vision workloads, and is intended for developers and organizations looking to incorporate generative AI into their products without managing multiple separate model providers.