AutoLedger - Quick Ledger

Screenshot, photo, or one sentence: AutoLedger organizes amount, merchant, and time, then saves locally after confirmation. Now with live OCR and hotel folio archiving.

AutoLedger - Quick Ledger

Turn screenshots, receipts, voice notes, and hotel folios into your personal ledger.

AutoLedger is a local-first personal ledger app that helps reduce repetitive entry and makes everyday spending easier to record. Start from information you already have: payment screenshots, receipt photos, voice notes, Shortcuts, and hotel folios.

Live OCR quickly recognizes amounts, merchants, and times from receipts and bills. Every result enters a confirmation flow before it is saved, so you can review and edit it first. AutoLedger never creates a transaction without your confirmation, keeping you in control of your records.

Quick Capture

Record with screenshots, receipt photos, voice, text, Shortcuts, the Share Extension, and quick entry on Apple Watch.

Multiple ledgers, custom categories, spending trends, monthly reports, import and export, and iCloud sync help you maintain a useful spending history over time.

Hotel Expense Archive

Travel and business stays often contain more detail than ordinary expenses. A hotel folio may include stay dates, nights, room charges, taxes, service fees, dining, and other charges.

AutoLedger organizes hotel folio PDFs and saves stay details and expenses as structured hotel records for reviewing trips and managing business spending.

Apple Ecosystem

Use AutoLedger on iPhone, iPad, Mac, and Apple Watch. Capture quickly on your phone, organize on a larger screen, and keep your ledger up to date.

AutoLedger Pro

Pro adds time-saving automation, including hotel folio organization, a dedicated folio inbox, batch candidate processing, advanced search, subscription anomaly alerts, month-end document organization, and advanced rule automation.

Core bookkeeping remains available for the long term. Pro is designed to reduce repetitive work, not restrict access to your ledger data.