Taggun logo

Taggun

Real-time, High Accuracy Receipt Scanning

About Taggun

Receipt OCR API is a specialized software that automates the extraction of data from receipt images, converting it into a structured format. It leverages AI and machine learning to identify key information such as merchant name, date, line items, and totals from various layouts. The API is designed for seamless integration, providing reliable receipt scanning and data extraction across 50+ countries with 99.9% uptime.

Taggun's solutions cater to diverse applications including cashback and rewards campaigns, expense management, and accounting automation. With features like fraud detection and multi-currency support, it is tailored for both loyalty and expense management workflows.

Images

Taggun screenshot 1

Features

High Accuracy Data Extraction

Specialized extraction of comprehensive receipt and invoice data.

Real-time Processing

Instant results on every request with built-in resiliency.

Fraud Detection Suite

Detects duplicates and tampering to protect against fraud.

Multi-Currency Support

Handles receipts in various currencies.

Enterprise-Grade Security

SOC 2 Type 2 and GDPR-ready with configurable data retention.

Pricing

Developer

$28month

For developers and small projects getting started.

  • 500 scans/month
  • Capture of core receipt and invoice data fields
  • Self-guided onboarding

Startup

$99month

For startups processing thousands of receipts.

  • 1,800 scans/month
  • Tax intelligence
  • Purchase categorisation

Business

$399month

For established businesses processing tens of thousands of receipts.

  • 8,000 scans/month
  • Higher monthly scan volume
  • Multi-channel support

Advanced

$799month

For companies seeking optimised performance enhancements.

  • 20,000 scans/month
  • Fraud detection suite
  • Performance tuning

Enterprise

For enterprises seeking maximum flexibility and support.

  • Customizable SLAs
  • Dedicated support

Platforms

WebAPI

Best for

Small businessMid-marketEnterprise

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