Sloth Receipts: I photograph a receipt and a local AI does my expense report

Описание и применение

Скрипт Sloth Receipts автоматически преобразует фотографии чеков в CSV‑таблицу расходов, используя локальную модель Qwen2.5VL, и помечает сомнительные строки для проверки.

Задача

Expense reports are tedious and error‑prone when entered manually from crumpled receipts.

Результат

The tool produces a ready‑to‑use expense CSV with minimal manual intervention, reducing data entry time and errors.

Рабочий процесс

• Snap a photo of the receipt and drop it in a folder
• Run sloth_receipts.py with the folder path
• The script hashes each image, skips already processed ones
• Each receipt is sent twice to a local Ollama model (qwen2.5vl:3b) for OCR
• If the two passes disagree on the total, the row is flagged needs_review with reason
• Sanity checks flag missing totals, impossible or future dates, unknown categories
• The script outputs expenses.csv with columns file,date,merchant,category,currency,total,needs_review,reason
• Human reviews only flagged rows

Доказательства

Sloth Receipts is a small Python tool that turns a folder of receipt photos into an expense spreadsheet, using an open-weight vision model running on my own laptop.

Источник

Each receipt is read twice. If the two passes disagree on the total, the row is flagged needs_review instead of being silently trusted.

Источник

Try it in two minutes. Install Ollama, then: ollama pull qwen2.5vl:3b python3 sloth_receipts.py ~/Receipts

Источник