Overview: What Is AutoEntry?
AutoEntry is a specialized machine-learning document capture tool founded in 2011 in Dublin, Ireland and acquired by Sage Group in September 2019. Unlike full accounting platforms, AutoEntry does exactly one thing: extract structured data from invoices, receipts, bills, and bank statements with accountant-grade accuracy and post the results into your real accounting system (Sage, Xero, QuickBooks, or others).
The platform is built specifically for accounting and bookkeeping practices. The unlimited-clients model, the credit-based pricing, and the deep ML training on accountant-relevant document formats all reflect that focus. AutoEntry is rarely the right choice for an end-business buying it directly — it's almost always sold to accountants who deploy it across their book of clients.
Since the Sage acquisition, AutoEntry has been integrated into the broader Sage ecosystem but continues to support non-Sage accounting platforms (notably Xero and QuickBooks Online). Independence concerns post-acquisition are real but the cross-platform support has held up over the years.
Key Features
- ML-powered invoice, bill, and receipt data extraction
- Full line-item capture (description, unit price, quantity, VAT)
- Purchase Order matching automation
- Automated nominal and VAT code learning from history
- Bank statement processing
- Real-time posting to Sage, Xero, QuickBooks, and others
- Unlimited client companies for accountant practices
- Mobile app, email, and desktop document upload
The standout capability is full line-item extraction. Where most receipt-scanning tools capture totals and vendor names, AutoEntry extracts every line on an invoice — description, quantity, unit price, VAT, and totals — and posts them as structured data in the destination accounting system. For VAT-heavy economies (UK, Ireland, EU) this matters enormously: it eliminates manual line-by-line entry on supplier bills.
The ML engine learns nominal codes and VAT codes from each customer's transaction history. After the first few weeks, AutoEntry typically auto-codes new invoices from recurring vendors with no human intervention required, dropping document processing time per invoice to a few seconds for review.
Pricing
| Plan | Price/Month | Inclusions |
|---|---|---|
| 50 credits/month | $17 | 50 document extractions, No contract, Rolling monthly |
| 100 credits/month | $23 | 100 document extractions, All features |
| Custom volume | Volume pricing | High-volume practices, Unlimited clients, Custom allowance |
AutoEntry uses a credit-based model: each document processed consumes one credit, and you buy a monthly credit allowance starting at $17/month for 50 credits. Unused credits don't roll over, which is the main pain point — businesses with seasonal document volume often end up wasting credits some months and overrunning others. For high-volume practices, the custom volume pricing is necessary and typically negotiated annually.
The accounting practice value proposition is strong: unlimited client companies under one practice account, so a single subscription covers the bookkeeper's entire book of business, with credits pooled across clients.
AI Capabilities
- Machine learning data extraction from invoices, receipts, bills, and bank statements
- ML-powered nominal code and VAT code learning from transaction history
- Full line-item AI extraction (description, quantity, unit price, totals)
- Automated PO and invoice matching
- Continuous ML accuracy improvement via feedback loops
AutoEntry's ML is purpose-built for document capture and is genuinely strong on that specific task. Don't expect it to do anything else — there's no natural-language assistant, no anomaly detection, no autonomous bookkeeping agent. It's a focused tool that does one job well.
Integrations
AutoEntry integrates directly with Sage (50, Sage Business Cloud Accounting, Sage Intacct), Xero, QuickBooks Online, and several smaller accounting platforms. Documents captured by AutoEntry are posted to the destination system in real time with full line-item detail. This cross-platform support is the reason AutoEntry survived as a relevant tool post-Sage acquisition.
Pros & Cons
Strengths
- Best-in-class full line-item extraction for accountants
- Unlimited client companies under one practice account
- Direct integrations with Sage, Xero, and QuickBooks Online
- ML learns nominal and VAT codes from history
- Strong fit for VAT-heavy UK/EU markets
- Active partner program with affiliate commissions
Weaknesses
- Not a full accounting platform — capture only; requires Sage/Xero/QBO subscription
- Credit model becomes expensive at high document volume
- Limited standalone value without accounting software
- Fewer AI features vs. full-stack AI bookkeeping tools
- Feature development pace slower post-Sage acquisition
Who Should Use AutoEntry?
AutoEntry is the right choice for accounting and bookkeeping practices serving multiple SMB clients who need to eliminate manual data entry from supplier invoices and receipts. It's also a strong fit for in-house finance teams at SMBs that process meaningful invoice volume but don't need (or can't afford) enterprise tools like Vic.ai.
AutoEntry is the wrong choice for end-businesses with low document volume (the credit pricing won't pay off), anyone looking for a full bookkeeping platform (it's capture only), or finance teams that need broader AI features beyond data extraction.
Verdict
AutoEntry remains one of the best document-capture tools for accounting practices in 2026, particularly in VAT-heavy markets where full line-item extraction matters. The Sage acquisition hasn't damaged the product's cross-platform support, and the ML accuracy continues to improve. For practices, it's a category-leading tool. For end-businesses, evaluate carefully whether your document volume justifies the credit-based pricing versus simpler receipt scanning built into your accounting platform.
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