AI Letter of Credit to Excel Converter — Extract 15+ L/C Fields from Any Issuing Bank
A single letter of credit carries 15+ fields — beneficiary and applicant details, the amount and currency, expiry and shipment dates, document checklists, and special conditions — spread across 3 to 7 pages, each bank's layout different from the last. This tool extracts them all in about 5 seconds, no templates, no per-bank setup.
Encrypted processing · Automatic data deletion after conversion
What You Can Extract from a Letter of Credit
Type the fields you need — L/C number, amount, expiry, beneficiary name, documents required — and the AI locates every value across all pages by understanding what each field means under UCP 600. One column definition works across L/Cs from HSBC, Citi, ICBC, and regional banks.
This uses Custom Column Extraction: you type the column names — "L/C Number," "Beneficiary," "Currency & Amount" — and the AI finds matching values by reading labeled sections across the L/C's pages, from SWIFT MT700 fields to the special conditions appendix. Add Computed Columns like "Margin Check (Amount × 10%)" to pre-calculate deposit requirements during extraction.
Every Bank Formats L/Cs Differently — But the Fields Are the Same
An L/C bundles MT700 fields, documentary requirements, goods description, transport details, and special conditions across pages — but banks lay them out differently. Users on r/Commodities describe letters of credit as the most labor-intensive part of trade operations — and that was before factoring in the data entry. Traditional OCR cannot tell "USD 250,000" on page 1 belongs to "Amount" if a logo separates them. Semantic extraction reads the full document and pairs labels with values by meaning.
Every issuing bank uses its own layout — field positions shift, labels reword. HSBC puts the amount in an upper-right box; Citi in a table row; a Chinese bank embeds it in SWIFT codes. Template-based OCR needs per-bank maps — 15 banks means 15 templates.
"Documents Required" and "Description of Goods" contain variable-length lists that break across pages. One L/C lists three documents; another lists twelve. Page-by-page OCR splits a 12-document list across two pages and outputs two partial lists with no way to merge them.
UCP 600 field semantics are lost in raw OCR — "partial shipments allowed" and "transshipment not allowed" are two fields, OCR sees one blob. Under UCP 600 Articles 31 and 20, these have separate default rules. The trade team must manually split the blob and enter each into its own ERP field — parsing effort that exceeds data entry itself.
Semantic extraction finds fields by meaning, not position — one column definition works across any bank. Define columns once: "L/C Number," "Beneficiary," "Currency & Amount," "Documents Required." The AI reads every page as one document and fills values regardless of bank format. No per-bank template to build, no map to update.
Multi-page awareness: the AI reads all pages together and assembles cross-page values into single columns. When "Documents Required" spans pages 3 and 4, both halves merge into one value. The same applies to "Description of Goods" and "Special Conditions." One row per L/C with every field fully assembled.
Column-level extraction preserves distinct UCP 600 fields — "Partial Shipments" and "Transshipment" land in separate cells. Define them as separate columns and the AI places each value independently. Add an Inferred Column — "UCP 600 Default Check" flags conditions deviating from UCP 600 defaults, giving your team a compliance baseline before documents are presented.
How a Week's L/Cs from Multiple Banks Get Extracted into Your Trade Finance Tracker — in One Batch
Upload — L/Cs from multiple banks, as-is, without pre-sorting by format
If you are processing a week's import L/Cs from suppliers using different banks, upload each PDF as-is: a 5-page Citi L/C for a soybean shipment, a 7-page Standard Chartered L/C for fertilizer, a 3-page ICBC L/C for steel coils. Some are scanned signed copies; others are digital PDFs. The AI reads each as one document and identifies labeled sections — MT700 fields on page 1, goods description on page 2, document checklist on pages 3–4 — by content, not page number.
Define columns — the fields your tracking sheet needs
Type the column names matching your trade finance tracker: L/C Number, Issuing Bank, Beneficiary, Currency & Amount, Tenor, Expiry Date, Partial Shipments, Documents Required. Add an Inferred Column: UCP 600 Compliance Flag flags non-standard terms so your compliance team knows which clauses need review before documents are prepared.
Output — one spreadsheet row per L/C, compliance flags already computed
Download an Excel file where each row is one L/C — the Citi soybean L/C shows its USD 2,500,000 from page 1, the 9-document requirement list from pages 3–4 merged into one cell, and Partial Shipments / Transshipment in separate columns. The Inferred Column flags that the Standard Chartered L/C imposes a 7-day presentation period instead of UCP 600's default 21 days. Import into your ERP or use as a documentary checklist — data is structured and ready the moment processing finishes.
When L/C Extraction Works Best — and Where to Verify
L/C extraction is reliable across typical bank formats. A few cases benefit from manual review.
Reliably extracts
Standard SWIFT MT700-format L/Cs from major banks — HSBC, Citi, Standard Chartered, ICBC — the SWIFT field structure allows reliable mapping.
Multi-page L/Cs with variable-length document lists — the AI merges cross-page content into single fields.
Batch processing mixed L/Cs from different banks — each L/C read independently, same column structure across all formats.
Both digital PDF and scanned signed copies — as long as labels are legible, accuracy is comparable.
Verify
Heavily stamped L/Cs where bank stamps obscure labels or values — dense stamps can cause the model to drop an obscured digit. Verify amounts for L/Cs with visible over-stamping.
L/C amendments that modify specific fields — the AI extracts changed values, but apply them to your existing record rather than replacing it.
Non-SWIFT template L/Cs from small regional banks — these deviate from MT700 conventions. The AI still reads semantically, but spot-check the first one.
Inferred Column compliance flags indicate terms differing from UCP 600 defaults — a triage tool, not legal determination.
Frequently Asked Questions
Can I extract the L/C amount, beneficiary, and expiry date from a scanned letter of credit PDF?
Yes. Upload the scanned PDF or image — whether a signed copy from the advising bank or a scan of the original SWIFT advice. Define columns like L/C Number, Beneficiary, Currency & Amount, and Expiry Date. The AI reads semantically — it finds the L/C number near "DC NO," the beneficiary near "BENEFICIARY," and the amount near "AMOUNT" — regardless of scan quality or bank layout. Heavily faded pages may need a spot-check on the first extraction.
How does the tool handle L/Cs where "Documents Required" spans multiple pages?
The AI reads all pages as one document and recognizes section continuations across page breaks. If "DOCUMENTS REQUIRED" lists items 1–6 on page 3 and 7–9 on page 4, both halves merge into one complete value. The same applies to "DESCRIPTION OF GOODS" and "SPECIAL CONDITIONS" that wrap across pages. Each field is fully assembled — no partial lists, no manual reconciliation.
Do I need a different template for L/Cs from HSBC, Citi, and ICBC — or for standby LCs vs transferable LCs?
No. One column definition covers all issuing banks because the AI reads semantically — it recognizes "USD 250,000" as the Amount because it sits near the "AMOUNT" label, not a pixel coordinate. An HSBC L/C placing the amount in an upper-right box, a Citi L/C listing it in a table row, and an ICBC L/C embedding it in SWIFT fields all map to the same column. Standby, transferable, and deferred payment LCs follow the same MT700 structure — define once, extract from any bank, any L/C type.
Can I batch-process multiple L/Cs from different banks into one spreadsheet?
Yes. Upload all L/Cs from the week — 5 from HSBC, 3 from Citi, 2 from Standard Chartered — into a single batch. Define columns once. The AI processes each L/C independently, and the output contains one row per L/C with identical column structure regardless of bank. The batch is immediately sortable by Expiry Date, filterable by Issuing Bank, and ready for weekly cash flow and documentary compliance review.
Is my L/C data — bank details, beneficiary names, transaction amounts — secure during processing?
All file transfers use TLS 1.3 encryption. Documents process in isolated sessions and auto-delete within 24 hours. Your L/C data — bank names, account details, beneficiary info, transaction amounts — is never used to train or improve AI models. The Excel file downloads directly to your machine; we do not retain extraction results. For trade finance teams handling sensitive cross-border data, the only persistent copy after processing is on your own systems.