Extract vendor names, dates, amounts, tax, tips, and payment methods from individual expense receipts—paper, digital, or photographed—for fast reimbursement.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“Our sales team submits 1,500 receipts per month. Receipt OCR turned a five-day manual reconciliation process into an overnight automated batch, and our reps get reimbursed days faster.”
“Faded thermal receipts were our biggest data quality issue. The AI reads them better than our human data entry team, and flags the truly illegible ones instead of guessing.”
“The tax and tip separation saved our international team hours of manual work. We reclaim VAT in multiple countries and need accurate tax amounts from every receipt.”
Expense receipts are the smallest unit of corporate expense documentation, yet they create some of the largest administrative headaches. Every business meal, taxi ride, office supply purchase, and conference registration generates a receipt that must be captured, categorized, and matched to an expense report or reimbursement request. Employees accumulate receipts in wallets, email inboxes, and phone photo galleries, and the process of organizing them into a submittable format is universally disliked.
Expense receipt OCR converts individual receipts from any source into structured data rows. The AI reads vendor name, date, subtotal, tax amount, tip, total, payment method, and last four card digits from restaurant receipts, retail receipts, hotel folios, airline boarding passes, parking tickets, and rideshare confirmations. Paper receipts can be photographed with a smartphone. Digital receipts can be forwarded by email or uploaded as PDFs.
The image quality challenge is more pronounced for expense receipts than for most other document types. Thermal paper receipts fade over time. Smartphone photos are taken at odd angles under variable lighting. Crumpled receipts from coat pockets arrive with creases and tears. Lido uses AI vision models trained specifically on degraded receipt imagery, with confidence scoring that flags uncertain values rather than producing silent extraction errors that would flow into reimbursement systems unchecked.
Finance teams and employees evaluating receipt OCR should consider accuracy across receipt quality levels, the range of receipt types supported, mobile capture capability, and integration with expense management or accounting systems. Lido processes any receipt format from any vendor without templates, making it suitable for organizations where employees incur expenses at thousands of different merchants.
Expense receipt OCR handles restaurant receipts, retail purchase receipts, hotel folios, airline receipts, taxi and rideshare receipts, parking tickets, gas station receipts, and conference registration confirmations. The AI adapts to any receipt format from any vendor.
AI-powered receipt OCR achieves 93 to 98 percent accuracy on standard receipts and 85 to 93 percent on degraded receipts (faded thermal paper, crumpled, or poorly photographed). Confidence scoring flags uncertain values for human verification.
Yes. The AI identifies and extracts subtotal, tax amount, tip, and total as separate fields. This is important for organizations that need to track tax amounts for reclamation or limit reimbursable tip percentages as part of expense policy enforcement.
Yes. The system processes photographs taken with any smartphone camera. For best results, the receipt should be flat and well-lit, but the AI handles angled shots and variable lighting conditions with confidence scoring to flag quality concerns.
Extracted data can be exported to Excel, Google Sheets, CSV, or JSON. The REST API enables integration with expense management platforms like SAP Concur, Expensify, Ramp, and Brex, as well as accounting systems like QuickBooks and NetSuite.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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