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evidence-io-handler

Convert a single IOU image into structured card_features evidence cards.

Updated Jul 20, 2025
Search Tags:#evidence#OCR#image-analysis#document-extraction#card_features#promissory note#IOU
One-click install
npx skills add https://github.com/sungaoxiang-backend/intelligent-evidence-platform --skill evidence-io-handler
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: evidence-io-handler
Source: https://github.com/sungaoxiang-backend/intelligent-evidence-platform/tree/main/app/agentic/skills/evidence-io-handler
Command: npx skills add https://github.com/sungaoxiang-backend/intelligent-evidence-platform --skill evidence-io-handler

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Traditional handling of debt-note images requires manual extraction of structured information for evidence cards, which is time-consuming and error-prone.

Core Features & Use Cases

  • Automated card extraction: Converts a debt-note image into a flat list of card_features, including debtor, amount, dates, and terms.
  • Mode flexibility: Supports rule-based extraction by default and an enhanced mode for additional context when available.
  • Use Case: Given a photo of a promissory note, generate a ready-to-use evidence card list for case compilation and review.

Quick Start

Process a single IOU image and obtain a structured card_features list. Example: Extract card_features from iou_sample.jpg

Frequently Asked Questions about evidence-io-handler

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

FAQPage Schema
How do I extract structured evidence from an IOU image?▼

You can extract evidence from an IOU image by applying OCR and document-structured extraction to produce a flat list of card_features including debtor, amount, dates, and terms for rapid evidence card generation.

What information is automatically extracted from a promissory note photo?▼

Automated extraction from a promissory note photo yields a flat list of card_features including debtor, amount, dates, and terms. This structured data enables rapid evidence card generation for case compilation and review.

Can I use this to generate evidence cards from debt documents like promissory notes?▼

Yes, this tool specifically targets debt documents such as promissory notes and IOUs, converting a photo into a ready-to-use structured card_features list for case compilation and review.

Does the evidence extraction support enhanced context beyond rule-based parsing?▼

Yes, the extraction supports an enhanced mode for additional context alongside the default rule-based extraction. This mode flexibility allows capturing more detailed information from the debt-note image.

What is the best way to automate debt-note image processing for legal compliance?▼

The best way to automate debt-note image processing is applying OCR and document-structured extraction to generate card_features. This replaces manual information extraction, saving time and reducing errors in evidence card generation.

Why does manual extraction of structured information from debt-note images fail?▼

Manual extraction of structured information from debt-note images is time-consuming and error-prone. Automating the process with OCR and document-structured extraction ensures accurate card_features generation including debtor, amount, dates, and terms.

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