DeepTagger

DeepTagger is a no-code platform that makes document judgment scalable. By using your annotations as examples, it learns to extract information from new documents with impressive precision—so instead of manually digging through files, you simply highlight the relevant data once, and the platform automates the rest.

Getting started is simple thanks to its 'Highlight-and-Label' interface, which lets you train a powerful AI without writing a single line of code. Because the design is template-free, you can build custom AI models tailored to your own documents, and nested data extraction capabilities handle even complex, multi-layered structures.

DeepTager goes beyond simple extraction. Its deep-reasoning AI features a Subjective Reasoning Engine that understands context and interprets intent, turning ambiguous language into meaningful results. The platform supports a wide variety of file types and formats, so you can build automation workflows across all kinds of documents.

With API access included, DeepTagger is designed to transform complex documents into actionable data—making it easier to feed clean, structured information into the systems and processes your team relies on every day.