Best AI Receipt Parser Tools in 2026

Detailed comparison

1. Lido — Best for receipt parsing to spreadsheet with no workflow overhead

Lido parses receipt images using layout-agnostic AI and outputs structured data directly to Excel, Google Sheets, CSV, or JSON. It extracts merchant name, address, date, time, payment method, subtotal, tax, tip, total, and line items from any receipt format — retail store receipts, restaurant tabs, online order confirmations, gas station receipts, and international receipts from any country. Unlike expense platforms that lock data into their own approval workflows, Lido gives you the raw structured data to use directly in your own spreadsheet or system.

Lido is the right tool for accountants, bookkeepers, researchers, or operations teams that need receipt data in a spreadsheet without adopting a full expense management platform. Batch processing handles up to 500 receipts per job. Custom fields are defined in plain English. SOC 2 Type 2 and HIPAA compliant. Starting at $29/month for 100 pages with a 50-page free tier.

2. Veryfi — Best for developers who need the highest accuracy receipt parsing API

Veryfi is the most technically capable receipt parsing API in this category. Built specifically for receipt and expense document intelligence, it achieves best-in-class line-item accuracy: for receipts from major US retailers (Walmart, Target, CVS, Whole Foods), Veryfi extracts individual product descriptions, quantities, and unit prices with above 95% accuracy. It supports over 50 currencies and international receipt formats. Many major expense management platforms use Veryfi as their underlying OCR engine rather than building their own.

Veryfi is an API-only product with no consumer interface — it is designed for developers integrating receipt parsing into their own applications. There is no no-code upload interface for non-technical users. Pricing starts around $500/month for API access. Veryfi is the right choice for engineering teams building receipt processing products or internal tools where maximum extraction accuracy is the priority.

3. Expensify — Best for employee expense reimbursement with SmartScan receipt capture

Expensify is the market-leading employee expense platform with a mobile app that makes receipt submission effortless: photograph a receipt at point of purchase, SmartScan OCR extracts merchant and amount in seconds, and the expense enters the reimbursement workflow. For teams managing employee expense reimbursements, Expensify’s workflow — submission, approval, accounting sync, and reimbursement via direct deposit — is well-designed and widely adopted.

SmartScan extracts header fields (merchant, date, total) but not line items. Accuracy is good for major US merchants and drops for international receipts, handwritten tabs, or unusual formats. At $5/user/month for the Collect plan, Expensify is affordable for small to mid-size teams. It is the right tool when employee expense reimbursement workflow is the primary need, not when raw receipt data extraction is the goal.

4. Dext — Best for accountants managing bookkeeping document flow for multiple clients

Dext (formerly Receipt Bank) is designed for accounting practices and their clients. The workflow centers on receipt and invoice capture via mobile app, web upload, or email, followed by automatic publishing to Xero, QuickBooks, or Sage as draft transactions. For bookkeepers who need clients to submit financial documents consistently and want those documents to flow into accounting software without manual data entry, Dext reduces significant friction. Its supplier recognition feature learns recurring vendors and auto-codes transactions.

Dext extracts the accounting-relevant fields (supplier, date, net, tax, total, category) reliably but is not a line-item extractor and is not designed as a pure data extraction tool. Its extracted data lives within the Dext platform and routes to accounting software — accessing raw extracted data outside of Dext’s supported integrations is not straightforward. Priced at £22/month for 10 users in the UK market, it is primarily relevant for teams already in the Xero/QuickBooks ecosystem.

5. AWS Textract — Best for developers building automated receipt processing pipelines on AWS

AWS Textract offers an AnalyzeExpense API specifically designed for expense documents. It extracts both summary fields (merchant name, address, transaction date, payment method, total, subtotal, tax) and line items from receipt images, returning structured JSON in a schema with ExpenseSummaryField and LineItemGroup objects. For developers building automated receipt processing into AWS-based applications, AnalyzeExpense is a solid choice that integrates naturally with S3, Lambda, and other AWS services.

AnalyzeExpense pricing is $0.015/page — 10x higher than Textract’s general document analysis, reflecting the specialized model. It returns raw JSON requiring developer post-processing to transform into application-specific formats. It is a developer tool, not a no-code solution. Textract’s AnalyzeExpense produces good but not best-in-class line-item accuracy compared to Veryfi’s specialized models, particularly on complex retail receipts.

6. Nanonets — Best for teams building trained receipt extraction models for specific formats

Nanonets offers a pre-built receipt extraction model that covers standard retail and restaurant receipt formats without training. For common receipt types, this model extracts merchant, date, total, and line items adequately. For non-standard formats or specialized extraction needs, Nanonets allows users to annotate training samples and fine-tune the model. Its API and webhook integrations make it accessible for both technical and semi-technical teams.

Nanonets’ pre-built receipt model is less specialized than Veryfi’s purpose-built receipt engine but more accessible at lower volume. At $499/month, it sits above Lido in cost but below enterprise solutions. It is a reasonable choice for technical teams who want an API with some customizability for receipt parsing without building from scratch. The training capability adds value for organizations with unusual receipt types that generic models handle poorly.

7. Docsumo — Best for teams that process a mix of receipts and invoices in the same platform

Docsumo is an AI document processing platform primarily known for invoice extraction, but its models also handle receipts with reasonable accuracy for standard formats. Its visual annotation interface — click to label fields on a sample document — makes model configuration accessible without data science expertise. For AP teams that process both invoices and receipts and want a single platform rather than separate tools, Docsumo reduces vendor sprawl.

Docsumo’s receipt extraction is adequate for standard business receipts (hotels, restaurants, business services) but not optimized for retail line-item detail the way Veryfi or Lido are. At approximately $500/month, it is priced at the same level as Veryfi but with less specialized receipt accuracy. It makes most sense for organizations that already use or are evaluating Docsumo for invoice processing and want to handle receipts in the same tool rather than adding a dedicated receipt parser.