LedgerLens: A Local Gemma Invoice Workspace My Friend Actually Used

说明与用途

LedgerLens 是一个本地化的发票工作区，使用 Gemma 3（通过 Ollama）和 Tesseract OCR 在本地提取、审核并存储发票数据，避免将文件上传到云端，保障数据隐私。

问题

Freelancers and small businesses need a fast, private way to extract vendor, date, tax, totals, and line items from invoice PDFs without sending data to cloud AI services.

结果

The author’s friend Raj adopted LedgerLens and stopped using other services. The app extracts vendor KFC, invoice number, date, INR 1,092.90, category Meals & Dining, and line items from a Swiggy/KFC merge PDF, demonstrating accurate local extraction.

工作流

• Drop PDF/PNG/JPEG/WEBP onto the app
• Local OCR with Tesseract extracts text
• Gemma 3 (4B) runs on Ollama to parse JSON‑schema fields and line items
• UI shows stages: accepted → OCR → Gemma → review
• User reviews side‑by‑side source and extracted fields
• Approve & Save writes expense row and vendor profile to SQLite
• Data is available in dashboard, reports, CSV export, and automation rules

证据

You drop a PDF or photo on your machine. Gemma 3 (4B) running in Ollama on 127.0.0.1 extracts vendor, dates, tax, totals, and line items.

来源

The first real document I threw at it was a Swiggy/KFC merge PDF. Gemma returned vendor KFC (Swiggy Limited), invoice number, date, INR 1,092.90, category Meals & Dining, and the line items (Epic Savers Chicken Bucket, packing charges).

来源

Ledger lives under %LOCALAPPDATA%\LedgerLens on Windows (or ~/.ledgerlens).

来源