StrukLokal: Local-First Receipt OCR for Freelancers

Описание и применение

StrukLokal – локальное приложение для распознавания чеков, позволяющее фрилансерам и малым бизнесам преобразовывать бумажные чеки в записи расходов без отправки данных в облачные сервисы OCR.

Задача

Freelancers and small businesses need to convert paper receipts into expense records without sending sensitive data to a hosted OCR service.

Результат

The app flow (upload → correction/approval → CSV) has been verified with mocked OCR; all 14 parser unit tests passed, and linting and repository hygiene checks succeeded.

Рабочий процесс

• Clone the StrukLokal repository
• Follow Windows setup steps in the README and install requirements
• Run python prepare_models.py while connected to the internet to download and initialize the OCR model
• Run python app.py and open http://127.0.0.1:5000
• Upload receipt image or PDF, review suggested fields, edit if necessary, approve transaction, export approved records to CSV

Доказательства

StrukLokal is a local-first receipt capture app for freelancers and small businesses that want to turn paper receipts into expense records without sending receipt contents to a hosted OCR service.

Источник

It reads receipt images or scanned PDFs and suggests a store name, transaction date, and total. A person can review and correct those fields, approve the transaction, and export approved records to CSV.

Источник

The Flask upload → correction/approval → CSV route has been checked with OCR mocked; this verifies the app flow after OCR returns, not OCR inference itself.

Источник

On the reviewed commit, all 14 parser unit tests passed. Ruff lint and format checks, Python syntax compilation, and repository hygiene checks passed as well.

Источник

Using open-source OCR makes local inference possible: the application does not need to upload receipt contents to a commercial OCR API during processing.

Источник