AutoEntry vs Klippa DocHorizon Comparison: Reviews, Features, Pricing & Alternatives in 2026

Detailed side-by-side comparison to help you choose the right solution for your team

Updated May 2026 8 min read

AutoEntry

0.0 (0 reviews)

AutoEntry is an automated data entry software that captures and analyzes scanned and digital receipts, invoices, and bank statements to sync them directly with your accounting software for faster bookkeeping.

Starting at $12/mo
Free Trial 0 days
VS

Klippa DocHorizon

0.0 (0 reviews)

Klippa DocHorizon is an Intelligent Document Processing solution that uses AI to automate data extraction, classification, and verification from unstructured documents to streamline your business workflows.

Starting at --
Free Trial NO FREE TRIAL

Quick Comparison

Feature AutoEntry Klippa DocHorizon
Website autoentry.com klippa.com
Pricing Model Subscription Custom
Starting Price $12/month Custom Pricing
FREE Trial ✓ 0 days free trial ✘ No free trial
Free Plan ✘ No free plan ✘ No free plan
Product Demo ✓ Request demo here ✓ Request demo here
Deployment saas mobile saas mobile desktop
Integrations QuickBooks Xero Sage FreshBooks FreeAgent KashFlow Zoho Books Microsoft Excel Zapier Salesforce Microsoft Dynamics 365 SAP Oracle QuickBooks Xero Exact Afas NetSuite
Target Users small-business mid-market mid-market enterprise
Target Industries finance logistics retail
Customer Count 0 0
Founded Year 2016 2015
Headquarters Dublin, Ireland Groningen, Netherlands

Overview

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AutoEntry

AutoEntry helps you eliminate manual data entry by capturing information from invoices, receipts, and bank statements automatically. You can simply snap a photo with the mobile app, email documents, or upload them directly to the platform. The software uses intelligent character recognition to identify tax codes, suppliers, and line items, ensuring your records are accurate without the need for typing.

You can manage your entire accounts payable process in one place while the platform handles the heavy lifting of data extraction. It integrates with major accounting tools to keep your books updated in real-time. Whether you are a small business owner or an accountant managing multiple clients, you can save hours of administrative work every week by automating your document processing workflows.

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Klippa DocHorizon

Klippa DocHorizon is an Intelligent Document Processing (IDP) platform that helps you turn unstructured documents into actionable data. Instead of manual data entry, you can use AI-powered OCR to capture information from invoices, receipts, identity documents, and passports with high accuracy. You can automate the entire document lifecycle—from scanning and uploading to data parsing and final verification—within a single cloud-based environment.

The platform is designed for mid-to-large enterprises and software providers who need to process high volumes of documents quickly. You can integrate its capabilities into your existing tech stack via API or SDK, making it a flexible choice for finance, logistics, and legal departments. By automating these repetitive tasks, you reduce human error and significantly speed up your operational turnaround times.

Overview

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AutoEntry Features

  • Automated Data Capture Extract data from invoices, receipts, and bank statements automatically so you never have to type another line item manually.
  • Line Item Extraction Capture full line item descriptions and unit prices from your documents to ensure your accounting records remain detailed and accurate.
  • Mobile Document Scanning Snap photos of receipts on the go with the native mobile app and upload them instantly to your account for processing.
  • Bank Statement Conversion Convert scanned or PDF bank statements into Excel or CSV formats that you can import directly into your accounting software.
  • Supplier Account Matching Match your invoices to existing suppliers in your accounting software automatically to keep your ledger organized and consistent.
  • Smart Tax Categorization Assign tax codes and categories to your documents based on your previous history to speed up your monthly reconciliation.
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Klippa DocHorizon Features

  • Automated Data Extraction. Extract text, tables, and specific data fields from any document type automatically using advanced AI and OCR technology.
  • Document Classification. Sort and categorize incoming documents instantly so they reach the right department or workflow without manual intervention.
  • Identity Verification. Verify passports, ID cards, and driver's licenses in seconds to streamline your KYC and onboarding processes.
  • Data Masking. Protect sensitive information by automatically redacting personal data or specific fields to ensure your business remains GDPR compliant.
  • Fraud Detection. Identify tampered documents or inconsistent data points automatically to protect your business from fraudulent submissions.
  • Mobile Scanning SDK. Turn any smartphone into a high-quality document scanner by embedding Klippa’s scanning technology directly into your own mobile app.

Pricing Comparison

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AutoEntry Pricing

Bronze
$12
  • 50 credits per month
  • Unlimited companies
  • Unlimited users
  • Free mobile app
  • Cloud storage for documents
  • Full accounting software integrations
K

Klippa DocHorizon Pricing

Pros & Cons

M

AutoEntry

Pros

  • High accuracy in extracting data from complex invoices
  • Flexible credit system prevents paying for unused capacity
  • Seamless integration with popular accounting software like Xero
  • Mobile app makes receipt capture easy for employees
  • Saves significant time compared to manual data entry

Cons

  • Processing times can vary during peak periods
  • Credit usage for line items can be confusing
  • Interface feels slightly dated compared to newer competitors
A

Klippa DocHorizon

Pros

  • High extraction accuracy for complex financial documents
  • Flexible API and SDK for easy integration
  • Fast processing speeds even for high-volume batches
  • Excellent support for international document formats
  • Strong focus on GDPR and data security

Cons

  • No transparent public pricing for small teams
  • Initial API setup requires technical development resources
  • Learning curve for configuring custom extraction models
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