The Nutrient Data Extraction API revolutionizes the way teams handle data extraction from various sources such as PDFs, scans, and Office documents, streamlining the process from unstructured documents to organized, easily reviewable data with minimal manual oversight. This tool is utilized by AI/ML experts and data engineers to interpret complete document structures, converting them into Markdown or spatial JSON formats suitable for RAG pipelines, search indexing, document-based Q&A, and knowledge management systems. Teams in sectors like finance, insurance, lending, legal, and healthcare rely on this API to extract predefined schema fields from various documents including invoices, contracts, claims, forms, and statements. Users can input their own JSON Schema to receive compliant JSON outputs, complete with confidence scores for each field and contextual information such as bounding boxes, enabling teams to verify data and flag uncertain entries for further review. The API features four distinct processing modes—Text, Structure, Understand, and Agentic—leveraging OCR, ICR, computer vision, and VLM-enhanced ICR to effectively handle born-digital files, scans, intricate layouts, and handwritten content. Its credit-based pricing model is based on pages processed, eliminating the complications of per-token charges.