A receipt sorter that never leaves your laptop (Gemma + Ollama)

Описание и применение

Приложение Local Receipt Sorter обрабатывает квитанции и счета полностью локально, извлекая структурированные данные с помощью модели Gemma и предоставляя пользователю возможность проверить и экспортировать результаты в CSV/Excel.

Задача

Freelancers need to extract data from receipts and invoices without uploading documents to external services.

Результат

On 25 test documents (15 PDFs, 10 photos, 15 screenshots) the tool extracted structured data, flagged anomalies, and allowed user review before export, demonstrating that a small open model can perform receipt parsing locally.

Рабочий процесс

• Install Ollama and pull gemma3:4b
• Install Python dependencies via pip
• Run Streamlit app
• Drop receipts into the interface
• Model extracts structured data into JSON
• Rule‑based checker flags missing or inconsistent fields
• User reviews and edits data in an editable table
• Export CSV/Excel for accountant

Доказательства

Local Receipt Sorter is a small app that runs entirely on the user’s own computer. You drop in receipts, it reads the vendor, date, invoice number, currency, subtotal, tax and total, flags anything suspicious, and exports a CSV or Excel file for the accountant.

Источник

I tested it on 25 documents: 15 PDFs, 10 photos and 15 screenshots.

Источник

The documents are read by a model running on the user’s own computer.

Источник