Ledger Lift: turning a shop's handwritten sales ledger into a CSV, fully offline

Описание и применение

Ledger Lift позволяет владельцам магазинов преобразовывать рукописные журналы продаж в CSV-файлы полностью офлайн, сохраняя данные локально и устраняя расходы на облачные сервисы.

Задача

Small shops still write every sale in a paper book, requiring manual retyping to enter data into spreadsheets, which is time‑consuming and costly if using cloud OCR services.

Результат

Ledger Lift enables shop owners to convert handwritten sales ledgers into editable CSV files offline, eliminating server costs and preserving privacy, while providing a review workflow to mitigate OCR errors.

Рабочий процесс

• Open Ledger Lift; if Ollama is missing, download and install it via the provided link.
• Start Ledger Lift; the app starts Ollama and downloads the 2 GB qwen3‑vl:2b‑instruct model once.
• Select a photo of a ledger page and press "Read this page".
• The app displays extracted rows one by one; review and correct any highlighted fields.
• Add more pages if needed, marking each row as reviewed.
• Download the combined CSV once all rows are reviewed.
• The photo remains on the local computer throughout the process.

Доказательства

Ledger Lift is a desktop app that reads a photo of a handwritten daily sales ledger and gives you back editable rows and a CSV.

Источник

The photo stays on your computer the whole time.

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The app tells them and opens the download page, then picks up where it left off once the install is done. No admin password needed.

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I didn't want anyone to trust the output blindly. If the model couldn't read a field or wasn't sure about a digit, that field is highlighted, and the CSV download stays off until every row is marked reviewed.

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On an Apple M4, a 15-row page takes about 21 seconds, and the first row shows up after about 10.

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