LedgerLens: Open-Source Local AI Turns Handwritten Shop Ledgers into Structured Data

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LedgerLens is an open-source tool designed to help small shopkeepers, vendors, and freelancers in India digitize paper ledgers written in Hindi, English, or a mix of both. The local-first agent runs on a standard laptop without a GPU, extracting structured entries such as dates, parties, amounts, and credit or debit types from photos of handwritten records. It validates and normalizes extracted data while flagging low-confidence entries for human review, rather than silently altering amounts. Unlike cloud-based accounting apps, it keeps sensitive financial records on the user's device, using open-weight models served through Ollama. The project was built for the Hacktoberfest Open-Source AI Challenge under the Side Hustle theme.

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Six Pre-commit Hook Tips for Terraform and Python Repositories

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