Receiptor AI: Automated Receipt Capture
Receiptor AI
Receiptor AI automates receipt and invoice capture for bookkeeping workflows. Its current product pages describe connections for email, WhatsApp, and bulk uploads, followed by document extraction, categorization, and export to accounting or storage tools. The product is operated by Merlino, Inc.
Verified workflow
Receiptor says it can monitor Gmail, Outlook, or other providers through IMAP, accept documents through WhatsApp or bulk upload, and extract fields such as vendor, date, amount, currency, tax information, and line items. Its listed destinations include QuickBooks, Xero, Expensify, Google Drive, Dropbox, CSV, PDF, ZIP, and email forwarding.
These are vendor-documented capabilities, not a Franklin accuracy test. Teams should sample receipts from their own vendors, currencies, layouts, and tax regimes before relying on the extracted data.
Pricing and access
As reviewed on August 4, 2026, Receiptor lists ongoing automation separately from historical inbox scanning. Its subscription page starts ongoing monitoring at $29 per month and says it processes new documents after signup. A one-time retroactive scan is priced by email volume, with listed rates from $0.025 to $0.012 per email. Usage allowances and add-on charges vary by tier, so confirm the current calculator before purchase.
API, MCP, CLI, and webhook access are listed on the Growth tier and above. The developer documentation describes API-key and OAuth 2.0 authentication plus workspace-scoped capabilities.
Data-access considerations
Receiptor's privacy policy says the service examines email metadata and requested date ranges to identify financial documents, stores extracted documents and data until the user deletes them, and retains email IDs to avoid reprocessing. It says email content is not stored and customer data is not used to train its or third-party AI models. These are the vendor's policy statements; buyers handling financial data should verify contracts, retention controls, subprocessor terms, access revocation, and any required attestations directly.
What to test before relying on it
- Measure extraction accuracy on invoices, receipts, credit notes, refunds, multiple currencies, and tax formats you actually use.
- Confirm whether historical mail requires the separate retroactive scan and estimate its full cost before granting access.
- Check how duplicates, corrected invoices, partial refunds, split transactions, and missing attachments are handled.
- Review field mapping and reconciliation behavior in QuickBooks, Xero, or your export destination.
- Test deletion, export, role access, OAuth revocation, audit logs, and the recovery path when a source or destination disconnects.
- Keep accountant review and financial controls in place; receipt capture is not a substitute for bookkeeping judgment or tax advice.
Official sources
- Receiptor AI product page
- How Receiptor AI works
- Receiptor AI pricing
- Receiptor AI developer documentation
- Receiptor AI privacy policy
Source review: August 4, 2026.
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Best fit
This tool is grouped with Finance, Automation, Productivity workflows.
How it fits a workflow
Treat Receiptor AI: Automated Receipt Capture as one option in the broader AI workflow, then compare the inputs it accepts, the outputs it produces, and how easily those outputs move into the next step. Start with a small, representative task so you can judge quality, speed, editing effort, and repeatability before relying on it for important work.
Before you try it
Check the provider site for current access, pricing, privacy terms, and feature details before choosing it for a production workflow. Confirm who owns uploaded data, whether exports are available, and what happens when the service changes. A useful evaluation should also cover accessibility, team sharing, support, and the effort required to correct an imperfect result.
Questions worth asking
- Does it solve the specific step you need, or does it add another layer to the process?
- Can you review and export the result without being locked into one format?
- Is the quality consistent enough to justify the cost and oversight?
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