Sparrow is an open-source platform designed to extract structured information from documents, images, and other unstructured data sources using machine learning and large language models. The system focuses on transforming complex documents such as invoices, receipts, forms, and scanned pages into structured formats like JSON that can be processed by downstream applications. It combines several components, including OCR pipelines, vision-language models, and LLM-based reasoning modules to identify and extract meaningful data fields from heterogeneous document layouts. The architecture is modular, allowing developers to build customizable processing pipelines that integrate with external tools and data extraction frameworks. Sparrow also includes workflow orchestration tools that allow multiple extraction tasks to be combined into automated pipelines for large-scale document processing.
Features
- Structured data extraction from PDFs, images, and scanned documents
- Vision-language models for understanding complex document layouts
- OCR preprocessing for extracting text from images and scans
- Agent-based workflow orchestration for multi-step document processing
- Interactive web interface for experimenting with extraction pipelines
- Support for exporting structured results in JSON and other formats