What it is
Receipt-AI is a receipt capture and processing service that converts photographed or uploaded receipts into structured accounting records. The system accepts receipts via SMS, email, or a web-based drag-and-drop interface and uses AI to extract key details such as date, vendor, tax, total and individual line items. Extracted receipts are renamed, categorized against a user’s chart of accounts and uploaded to connected accounting platforms (QuickBooks or Xero) for reconciliation. The product emphasizes mobile and on-the-go receipt capture for traveling teams and on-site professionals, and it stores each receipt in encrypted form to protect account and document data.
Key features
Receipt-AI provides multiple upload channels: text message (SMS), forwarded email from a registered address, and direct website uploads. Its AI parsing identifies receipt fields, can handle line-item level extraction when enabled, and renames and auto-categorizes receipts based on the configured accounts. Integrations with QuickBooks Online and Xero allow receipts to be uploaded and matched to transactions with a one-click reconciliation step (Click Match in QuickBooks or OK in Xero). The service supports a range of document and image formats (JPEG, PNG, PDF, TIFF, WEBP, HEIC, HEIF), multiple languages, and several document types beyond receipts (invoices, checks, bank statements, purchase orders). Additional features include encrypted storage, the ability to add memos via SMS or email subject lines, and editable receipt metadata after upload.
Use cases
Receipt-AI is aimed at businesses, finance teams, accountants, bookkeepers, and individuals who need to collect, organize and reconcile expense documentation. It targets teams that travel frequently or work at remote job sites where quick capture by SMS or email is useful for capturing receipts on the move. Typical uses include simplifying expense reporting, matching receipts to bank or card transactions in accounting systems, maintaining supporting documents for tax and audit purposes, and tracking project-level expenses to monitor budgets. The product is also positioned to reduce manual data entry time by automating extraction and categorization before sending records into core accounting software.
