Unstructured
Unstructured helps teams transform messy, unformatted content (like documents and other raw text) into structured, usable data. It focuses on reliable extraction and normalization so extracted fields can power analytics, search, and AI workflows. Unstructured is widely used by teams building document pipelines where data quality and consistency matter.
With Unstructured connected, BOBs can take incoming documents and turn them into reliable structured outputs—then route those outputs to the rest of your business systems. Instead of manual copy/paste or brittle one-off parsing, BOBs can focus on the “business meaning” of a file: identifying what matters, extracting relevant fields, and normalizing text so downstream tools receive consistent data.
This enables use cases like document-to-data operations for reporting, data enrichment for CRM or databases, and feeding structured inputs into AI workflows (summaries, classification, QA checks, or routing). BOBs can run extraction as part of a larger job—so the document processing step happens automatically when a file is available, and the cleaned data can be used immediately across analytics and automation.
What can BOBs do with Unstructured?
Perform actions
- Extract File