Eachlabs

Eachlabs is an AI infrastructure platform that brings different generative AI models and ready-made workflows together behind a single API. It is aimed primarily at developers and product teams that want to add AI-powered features to their applications without spending time building and maintaining separate integrations for every model provider. The platform provides access to hundreds of models covering image, video, audio, text, and other AI capabilities, with models from providers such as Google, OpenAI, ByteDance, Kling, Black Forest Labs, MiniMax, Alibaba, Luma, Pika, PixVerse, and others. What makes Eachlabs particularly interesting is that it goes beyond simply providing access to individual models. Its workflow system allows multiple AI models and processing steps to be connected into a single production-ready pipeline. For example, a workflow can combine image generation, enhancement, video creation, voice, or other processing stages and expose the complete process through one API request. This can save developers from having to build their own orchestration layer when an application requires several AI models to work together. Eachlabs also offers pre-built workflow templates covering use cases such as product photography, virtual try-on, video dubbing, lip-syncing, image effects, avatars, and other creative applications. Developers can use these templates as a starting point and customize them for their own products.

Another feature that stands out is its model routing system. Teams can choose a preferred model, pin specific versions, and configure fallback options, helping applications remain stable when providers update models or experience availability issues. Eachlabs also provides centralized observability, allowing developers to track information such as latency, cost, token usage, and individual API requests. For language applications, its LLM Router provides access to hundreds of models through an OpenAI-compatible interface, making it possible to use familiar development tools while switching between different models. The platform follows a pay-as-you-go approach, so teams can use the models and workflows they need without maintaining separate accounts and integrations for every provider. For companies evaluating an Eachlabs alternative, useful comparison points include the number of supported models, workflow capabilities, routing and fallback options, API compatibility, pricing, observability, and the amount of control developers have over individual AI services. Eachlabs is best suited to teams that want more than a simple model API and need a centralized way to combine, manage, and deploy multiple AI capabilities as part of a larger application or automated workflow.