AutoEntry
Automated data extraction from receipts, invoices, and bank statements
About AutoEntry
AutoEntry pulls structured data — line items, dates, totals, vendor names — from receipts, invoices, and bank statements, then pushes that data directly into QuickBooks, Xero, Sage, or FreeAgent. Document submission runs through three channels: email forwarding, a mobile app, or bulk upload for batch processing. The OCR and machine learning pipeline handles standard formats reliably, and the bank statement parser categorizes transactions before they land in the ledger. It fits solo bookkeepers and small practices best, particularly those with predictable monthly document volumes and clients who send standard invoice formats. Volume-based pricing keeps the cost proportional to actual usage, which works well for practices with seasonal peaks. The ceiling is low. Non-standard invoice layouts — think handwritten receipts, multi-page procurement documents, or international formats with unusual field placement — regularly require manual correction before publishing. Docyt and Hubdoc offer better handling of edge-case formats. AutoEntry does no broader accounting automation beyond extraction and routing, so it slots in as one piece of a larger workflow rather than a standalone efficiency play.
Best for
Solo bookkeepers or small practices with predictable document volumes
Key Features
- OCR-powered receipt and invoice data extraction
- Multi-format document processing (email, mobile, bulk upload)
- Direct integration with major accounting platforms
- Bank statement parsing and categorization
Pros & Cons
Pros
- Direct publish to QuickBooks, Xero, Sage, and FreeAgent with field mapping that covers most standard chart-of-account structures.
- Email forwarding lets clients submit receipts without logging into any portal — no training required on the client side.
- Volume-based pricing means a practice processing 200 documents in April and 800 in January pays proportionally, not a flat monthly fee regardless of usage.
- Bank statement parsing extracts and categorizes transactions, reducing manual line-by-line entry for clients who submit PDFs instead of live bank feeds.
- Bulk upload handles high-volume batch jobs, useful when onboarding a new client with a backlog of unfiled receipts.
- Mature product with a stable integration layer — the Xero and QuickBooks connections have not broken or required reconfiguration with recent platform updates.
Cons
- Extraction accuracy drops noticeably on non-standard invoice formats, handwritten receipts, and multi-currency documents — expect manual review on anything outside the routine.
- No intelligent document understanding — AutoEntry applies traditional OCR with incremental ML improvements, not the transformer-based extraction that newer tools like Docyt use.
- Scope is strictly extraction and routing. There is no anomaly detection, duplicate vendor flagging, or coding suggestions beyond basic category mapping.
- Volume-based pricing can become expensive for practices that occasionally process large one-off batches — costs spike without a per-month cap option.
- Mobile app submission is functional but slower than desktop workflows for high-volume processing; bulk upload is the practical choice at scale.
- No meaningful audit trail or approval workflow built in, so practices with multi-step review processes must manage that outside the tool.
Ledger Brief Take
This is traditional OCR with incremental ML improvements, not cutting-edge AI — newer entrants like Docyt and MindBridge offer more sophisticated document understanding. The email forwarding workflow and mature integrations make it reliable for practices handling standard receipts and invoices at scale, but expect manual cleanup on anything beyond basic formats.
Frequently Asked Questions
Common questions accountants ask about AutoEntry.
How does AutoEntry pricing work and what does the free trial include?
AutoEntry charges per document processed, not a flat monthly fee. Credits are purchased in bundles, and unused credits roll over. The free trial includes a set number of credits to process real documents before committing. Exact bundle prices are listed on the AutoEntry website and change periodically, so verify current rates directly.
How does AutoEntry integrate with QuickBooks and Xero?
AutoEntry connects to QuickBooks Online and Xero via direct API. Extracted invoice and receipt data maps to your existing chart of accounts and publishes as draft transactions. Bank statement data imports as categorized lines. The connection is authorized through OAuth — no manual CSV export required.
How does AutoEntry compare to Hubdoc for receipt and invoice capture?
Both tools extract receipt and invoice data and push to Xero or QuickBooks. Hubdoc is bundled free with Xero subscriptions, making it the default choice for Xero-only practices. AutoEntry supports Sage and FreeAgent in addition to Xero and QuickBooks, and its bank statement parsing is stronger. If your stack is Xero-only, Hubdoc is usually the cheaper starting point.
Is AutoEntry secure enough for client financial documents?
AutoEntry stores documents on encrypted servers and is GDPR-compliant. Data is transmitted over TLS. The platform does not sell or share extracted data. For practices subject to additional regulatory requirements, review AutoEntry's data processing agreement directly before onboarding client documents.
What document types does AutoEntry handle reliably?
Standard supplier invoices, expense receipts, and bank statements in common PDF or image formats process reliably with minimal correction. Non-standard layouts, handwritten receipts, and documents with merged cells or complex tables frequently require manual review before the extracted data is accurate enough to publish.
Is AutoEntry a good fit for a growing mid-sized practice?
It works well up to moderate volume on standard document types. Mid-sized practices processing diverse client document formats — or those wanting built-in approval workflows and anomaly detection — will hit its ceiling. At that scale, Docyt or a practice management platform with native document processing handles more without manual cleanup.