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Finance & Accounting

AI Document Processing Engine

Extracts structured data from contracts, invoices, forms, and other documents — handles multiple layouts and pushes clean records downstream.

Document inbox — recent uploads with type, value, extraction confidence, destination system, and status; one row shows an exception with low confidence awaiting review

1 of 3 — Document inbox — recent uploads with type, value, extraction confidence, destination system, and status; one row shows an exception with low confidence awaiting review

The challenge

Why it exists

Manual invoice processing is slow, error-prone, and inefficient.

The approach

How it works

This project automates invoice processing by extracting data from documents using OCR and NLP, converting it into structured format, and enabling quick queries—reducing manual effort, minimizing errors, and significantly speeding up the workflow.

Key capabilities

What it does

This project automates invoice processing by extracting data from documents using OCR and NLP, converting it into structured format, and enabling quick queries—reducing manual effort, minimizing errors, and significantly speeding up the workflow.

Typically used by

Finance, organizations, Users

Business impact

FastAPI (backend API development) Uvicorn (ASGI server) Tesseract OCR / pytesseract (image text extraction) python-docx (Word document parsing) SentenceTransformers (text embeddings for semantic search) NumPy (vector similarity calculations) Regex (rule-based data extraction) Gemini / GPT APIs (for intelligent question answering and enhancing document understanding beyond rule-based logic)

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Want something like this for your team?

We'll map your workflow and scope a working prototype — typically in three weeks, not three months.

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