Receipt Guard
Cyber Security

Receipt Guard

Upload receipt or invoice PDFs and automatically analyze them for authenticity, tampering, and fraud risk. The workflow performs structured financial validation including tax math consistency checks, GSTIN format verification, invoice logic analysis, and metadata inspection.

A hybrid rule engine and AI reasoning layer generate a standardized risk report with confidence scoring, synthetic likelihood assessment, and recommended action for operational decision-making.

4.8Rating

Overview

Upload receipt PDFs and detect tampering, tax inconsistencies, and synthetic document risks using hybrid AI and rule-based analysis.

Upload receipt or invoice PDFs and automatically analyze them for authenticity, tampering, and fraud risk. The workflow performs structured financial validation including tax math consistency checks, GSTIN format verification, invoice logic analysis, and metadata inspection. A hybrid rule engine and AI reasoning layer generate a standardized risk report with confidence scoring, synthetic likelihood assessment, and recommended action for operational decision-making.

Ideal for

  • Auditing employee expense reports for fraudulent claims
  • Verifying vendor invoices before approving accounts payable
  • Automating compliance checks for tax math and GSTIN formats
  • Detecting highly sophisticated synthetic or digitally altered documents
  • Streamlining financial operations by reducing manual receipt reviews

Key capabilities

Tampering & Forgery Detection

Identifies digital modifications, synthetic document generation, and metadata inconsistencies in uploaded receipts to prevent fraud.

Structured Financial Validation

Automatically recalculates and verifies invoice logic, ensuring that line-item totals and overall tax math are perfectly consistent.

GSTIN & Tax Format Verification

Cross-checks tax identification numbers against standard regulatory formats and validates corresponding tax logic.

AI-Powered Risk Scoring

Utilizes a hybrid rule engine and AI reasoning to generate standardized risk reports, complete with confidence scoring and recommended actions.

Benefits

  • Reduces direct financial losses from fake, duplicate, or altered invoices
  • Saves thousands of hours by automating manual math and format checks
  • Provides clear, data-driven confidence scores for operational decision-making
  • Increases overall accuracy and compliance in accounts payable processes
  • Scales easily to handle high volumes of financial documents securely

How it works

1

Upload Receipt or Invoice

Submit your financial document (PDF). Ensure the file is clear and readable for the best extraction results.

Tip: Ensure the PDF is not password protected before uploading.
Est. Time: 2 mins
2

Data Extraction & Parsing

Our AI extracts all relevant text, metadata, line items, tax details, and financial figures from the document.

  • Advanced OCR Engine
  • Metadata Extractor
Est. Time: 5-10 seconds
3

Validation & Fraud Analysis

The hybrid reasoning layer checks mathematical consistency, verifies tax formats (e.g., GSTIN), and scans for signs of digital tampering.

  • Math consistency check
  • Synthetic generation detection
  • Invoice logic analysis
Est. Time: 5-10 seconds/question
4

Review Risk Report

Receive a standardized, actionable risk report outlining the document's authenticity, confidence score, and operational recommendations.

  • Downloadable PDF
  • Web dashboard view
  • JSON data output
Est. Time: Instant

Expected outputs

Receipt Risk & Authenticity Report

Format: PDF/HTML/JSON

A comprehensive breakdown of the invoice's validity, including tampering likelihood, math checks, and an overall risk score.

What's Inside:

Overall Risk Score & RecommendationMath & Tax Consistency BreakdownMetadata & Tampering AnalysisExtracted Line Items

Features

Downloadable
API Integration Ready
Secure and Private

Security

Encryption

AES-256

Customization

Risk Threshold

Choose the sensitivity level for flagging documents

Strict (Flag all anomalies)StandardLenient (High tolerance)

Technical details

AI Models

Computer Vision OCR Engine, Hybrid Rule-Based Math Engine, Fraud Detection Reasoning LLM

Processing Capacity

  • maxDocumentSize: 10MB
  • maxTotalSize: 50MB
  • concurrentJobs: 20
  • averageProcessingTime: 20-30 seconds

Data Retention

  • resultStorage: 30 days (if user opts in)
  • documentStorage: Encrypted (AES-256), deleted immediately after processing
  • exportAvailability: Unlimited

Versioning

  • Version: 1.0.0
  • Last update: 2025-05-26

Support

Email: support@datacove.ai

Documentation: View docs

API Reference: View reference

Frequently Asked Questions

What can I upload?

Receipt or invoice PDFs.

What does it check?

Tampering, GSTIN format, and tax-math consistency.