notary-identity-vision

Extract and validate identity data from Argentinian DNI and passport images against MRZ codes.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/diegogalmarini/EscriAR --skill notary-identity-vision
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: notary-identity-vision
Source: https://github.com/diegogalmarini/EscriAR/tree/main/.agent/skills/notary-identity-vision
Command: npx skills add https://github.com/diegogalmarini/EscriAR --skill notary-identity-vision

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of extracting and validating identity information from physical documents like Argentinian DNIs and Passports, significantly reducing manual data entry errors and speeding up client onboarding.

Core Features & Use Cases

  • Multimodal Vision AI: Extracts structured data from images of identity documents.
  • Security Verification: Validates data against MRZ (Machine Readable Zone) codes for fraud detection.
  • Cross-Referencing: Compares front and back document data for consistency.
  • Use Case: A bank can use this Skill to instantly onboard new clients by scanning their DNI, extracting all necessary information, and verifying its authenticity against the MRZ code, all within seconds.

Quick Start

Use the notary-identity-vision skill to process an image of an Argentinian DNI.

Frequently Asked Questions about notary-identity-vision

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I extract identity data from a scanned DNI or passport image?

To extract identity data from a scanned DNI or passport image, this Skill applies multimodal Vision AI and OCR to read and structure text fields from the physical document photograph, automating client onboarding data entry.

How does MRZ validation work for fraud detection on identity documents?

MRZ validation for fraud detection works by applying deterministic validation logic that cross-references extracted front-facing identity data against the Machine Readable Zone codes to verify document authenticity and data integrity.

Can I use AI document scanning to verify Argentinian DNI front and back consistency?

Yes, AI document scanning can verify Argentinian DNI front and back consistency by cross-referencing the structured data extracted from both sides of the physical document to ensure they match and detect fraudulent alterations.

What is the best way to automate identity verification for client onboarding?

The best way to automate identity verification for client onboarding is to scan physical documents with multimodal AI, extract the required fields, and validate them against MRZ codes to reduce manual data entry errors and prevent fraud.

Does this MRZ reader support identity documents other than Argentinian DNIs and Passports?

This MRZ reader specifically supports Argentinian DNIs and Passports for identity verification, and the metadata does not indicate processing capabilities for other international document types or formats.