Contextgem

ContextGem fills a specific niche: developers who want to extract structured data from documents without building complex LLM pipelines from scratch. Its main appeal is the declarative API: you define what to extract (aspects for sections, concepts for typed fields) and the framework does the rest. We like the built-in support for multiple LLMs (cloud and local) and the optimization guide that helps balance cost, speed, and accuracy. That said, this is not a tool for non-technical users. There's no GUI, no drag-and-drop, and no hosted service. You need Python and the ability to set up an environment. It also lacks native integrations with document stores or databases, so you'll handle file loading and result saving yourself. Compared to something like Unstructured (which offers an API and more languages), ContextGem is more focused on extraction patterns and typed outputs, but less broad in document formats. For a team building a custom extraction pipeline and wanting full control, it's a strong fit. But if you need a turnkey solution or real-time processing, look elsewhere.