Jangbu Import (Grade A) logo

Jangbu Import (Grade A)Security-tested data-ai skill for Claude AI. Grade A. 원본 재무 데이터(엑셀·은행 CSV·카드 내역 CSV·영수증 이미지·세금계산서 PDF·카드명세서 PDF)를 표준 거래내역 13개 필드로 변환하는 스킬. PaddleOCR 로컬 처리로 영수증·세금계산서·카드명세서에서 거래 자동 추출, Level 2 민감정보 마스킹

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Daniel NikulshynReviewed by Daniel Nikulshyn·Updated July 2026

Overview

Jangbu Import is a security-tested data-ai skill for Claude AI, graded A. It transforms original financial data from various sources (Excel, bank CSV, card transaction CSV, receipt images, tax invoices, and card statements) into a standardized 13-field transaction history. The skill utilizes PaddleOCR for local processing to automatically extract transactions from receipts, tax invoices, and card statements, with Level 2 sensitive information masking.

Key features

  • Transaction data transformation
  • PaddleOCR-based document processing
  • Sensitive information masking
  • Support for multiple data sources (Excel, CSV, receipt images, tax invoices, card statements)
  • Standardized 13-field transaction history output

Pricing

Model
Free
Category
Skills
Rating
No reviews yet

Use cases

Financial Data Integration

Jangbu Import can be used to integrate financial data from various sources, such as bank transactions, card transactions, and receipts, into a standardized format for easier analysis and processing.

Automated Transaction Extraction

The skill can automatically extract transactions from receipts, tax invoices, and card statements using PaddleOCR, reducing manual data entry efforts and increasing efficiency.

Pros & Cons

Pros

  • Transforms various financial data sources into a standardized format
  • Automatically extracts transactions from receipts, tax invoices, and card statements using PaddleOCR
  • Applies Level 2 sensitive information masking for security

Cons

  • Limited support for certain card statement formats, requiring LLM fallback
  • May require manual review and correction for inaccurate OCR results

Reviews

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Q&A

What happens if the OCR cannot parse a card statement correctly?

If PaddleOCR fails to extract all rows, the response includes needs_llm_fallback:true and lists unparsed rows. Users can review the suggested corrections via the ocr_analyze step, or rely on the LLM fallback parser for formats that lack a dedicated parser (e.g., Samsung, Lotte, BC cards).

Asked by Ivo Novotný · Jul 27, 2025

How does the skill handle sensitive information in card statements?

Before processing, the document is stored locally ( ~/.jangbu/raw/ocr/ ) and only masked views and summaries are sent to the LLM. Level 2 sensitive‑information masking is applied to hide data such as resident registration numbers or business registration numbers.

Asked by Vikram Rao · Jul 10, 2025

Which financial file formats can Jangbu Import process?

Jangbu Import accepts Excel (XLSX) files, bank CSVs, card transaction CSVs, receipt images (JPG/PNG/PDF), tax invoice PDFs, and card statement PDFs. Each source type is specified with a corresponding source_type or doc_type parameter.

Asked by Noelia Campos · Jul 7, 2025

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