I will ai driven document processing and classification pipeline

The Problem

Organizations often manage large volumes of scanned documents in the form of PDFs and JPEGs, which are unstructured and difficult to process manually. Extracting relevant information, categorizing content, and tagging documents for downstream integration (e.g., with ERP systems) is typically time-consuming, error-prone, and requires significant manual effort. This inefficiency leads to delays, misclassification, and increased operational costs, especially in document-heavy industries such as finance, healthcare, and logistics.

Our Solution

Designing and developing a FastAPI-based document processing pipeline that automates the extraction, categorization, and tagging of scanned documents (PDFs and JPEG images). The system will utilize advanced OCR capabilities and AI-driven classification to accurately process and label documents into predefined categories, facilitating integration with downstream systems such as ERPs.

Deliverables

FastAPI-based backend pipeline with the following endpoints:

/process_documents for document processing

OCR and categorization integrated using GPT-40-mini and GPT-4.

JSON-based structured output for integration.

Deployment solution.