Finance & Accounting
On-Device Document Extraction
AI-powered invoice extraction system using a local LLM (Qwen 2.
The challenge
Why it exists
The idea was to test and demo a Local LLM extracting and processing sensitive data opposed to a cloud LLM. This way PII data never the local environment and organizations can rest assured that their data is secure.
The approach
How it works
AI-powered invoice extraction system using a local LLM (Qwen 2.5 7B via Ollama) running entirely on-device — no data leaves the machine. The system uses pdfplumber for accurate PDF-to-text conversion with column-aware extraction, a single-pass LLM prompt to extract all invoice fields simultaneously, and a regex post-correction layer that validates and confirms extracted values. A confidence scoring system visually flags uncertain fields for human review with an amber indicator, and a Re-enforce mechanism allows users to correct extractions and teach the system vendor-specific patterns that persist for future invoices.
Key capabilities
What it does
AI-powered invoice extraction system using a local LLM (Qwen 2.5 7B via Ollama) running entirely on-device — no data leaves the machine.
The system uses pdfplumber for accurate PDF-to-text conversion with column-aware extraction, a single-pass LLM prompt to extract all invoice fields simultaneously, and a regex post-correction layer that validates and confirms extracted values.
A confidence scoring system visually flags uncertain fields for human review with an amber indicator, and a Re-enforce mechanism allows users to correct extractions and teach the system vendor-specific patterns that persist for future invoices.
Typically used by
AP / Finance team
Business impact
Estimated 15–20 minutes saved per invoice on manual data entry and verification. For a team processing 50+ invoices per month that's 12–16 hours saved monthly. Secondary benefit: vendor-specific learning means accuracy improves over time without retraining. Sensitive financial data stays on-premise.
Built with
Technology
Tools & Frameworks
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