Client Objective
To build a robust AI-powered Document Extractor capable of extracting structured data and key insights from a variety of financial and operational documents—enabling automation, accuracy, and efficiency across enterprise workflows.
Solution Overview
We designed and implemented Intelligent Document Extractor, a powerful document intelligence platform tailored to parse and extract information from structured and unstructured documents, including:
- Invoices
- Bank Statements
- Purchase Orders
- Financial Reports
- PDF Forms and Scanned Documents
The system leverages state-of-the-art AI models, OCR, and customizable extraction rules to automate manual data entry and enhance enterprise productivity.
Key Features
✅ Accurate extraction of text, tables, and numerical data
✅ AI + rule-based hybrid model for customizable output
✅ Natural Language Processing (NLP) for document summarization
✅ API-based integration with ERP and accounting systems
✅ Secure cloud-based deployment with role-based access
Technologies Used
- OCR & Vision Models (Tesseract, Google Vision, Azure Form Recognizer)
- Natural Language Processing (Hugging Face Transformers, GPT-based summarization)
- Document Parsing Frameworks (PDFMiner, LayoutLM, SpaCy)
- Custom Rule Engine for validation and business logic
- REST APIs for third-party system integration
Impact & Results
- Reduced document processing time by up to 80%
- Improved data accuracy and reduced manual errors
- Enabled seamless automation in finance and operations workflows
- Delivered scalable document processing to support high-volume enterprise needs
Intelligent Document Extractor reflects our expertise in combining machine learning, NLP, and real-world business rules to build intelligent automation tools that save time, reduce errors, and unlock critical insights from unstructured data.