將 Chase PDF 對帳單轉換為 CSV 及 Excel

Chase帳戶類型與對帳單挑戰

我們已見過並通過準確度驗證的對帳單格式。

Chase Business Complete Checking

企業賬戶

此格式常見的注意事項：

Transactions Split Across Multiple Tables

Chase statements split transactions into separate tables by type (deposits, withdrawals, checks, online transfers, etc.), each with different column layouts. Manually merging these into a single timeline is tedious and error-prone. We combine all tables into one chronological list while preserving transaction type information.

Missing Year in Dates

JPMorgan Chase statements omit the year from transaction dates (e.g., "03/15" instead of "03/15/2025"), which makes it impossible to sort or reconcile without guessing. We infer the correct year from the statement period and surrounding context.

Inconsistent Date Formats

JPMorgan Chase Bank statements use different date formats within the same document (e.g., "Jun 30, 2025" for statement dates and "03/15/2025" for transactions), which can cause date parsing errors or silent misinterpretation. We normalize all dates to a consistent format automatically.

Currency Symbols Breaking Numeric Parsing

These statements embed currency symbols (e.g., "$1,234.56") directly in amount cells, which breaks numeric parsing in Excel and most CSV importers. We strip these symbols so amounts import as clean numbers.

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查看此對帳單的轉換結果

Chase 銀行對帳單的合成範例

Chase Total Checking

支票賬戶

此格式常見的注意事項：

Running Balance Cross-Check

Chase statements include a running balance column that most converters ignore. Without validating it, missing or duplicate transactions go undetected. We extract this balance and cross-check it against opening/closing balances to ensure every transaction is accounted for.

Missing Year in Dates

JPMorgan Chase statements omit the year from transaction dates (e.g., "03/15" instead of "03/15/2025"), which makes it impossible to sort or reconcile without guessing. We infer the correct year from the statement period and surrounding context.

Inconsistent Date Formats

JPMorgan Chase Bank statements use different date formats within the same document (e.g., "Jun 30, 2025" for statement dates and "03/15/2025" for transactions), which can cause date parsing errors or silent misinterpretation. We normalize all dates to a consistent format automatically.

No Selectable Text (Scanned PDF)

These statements are often image-based PDFs with no selectable text, so copy-paste and standard PDF extractors return nothing useful. We use OCR and visual language models to read the page content and extract transactions accurately.

Transactions Split Across Multiple Tables

Chase Bank statements split transactions into separate tables by type (deposits, withdrawals, checks, online transfers, etc.), each with different column layouts. Manually merging these into a single timeline is tedious and error-prone. We combine all tables into one chronological list while preserving transaction type information.

Currency Symbols Breaking Numeric Parsing

The bank's statements embed currency symbols (e.g., "$1,234.56") directly in amount cells, which breaks numeric parsing in Excel and most CSV importers. We strip these symbols so amounts import as clean numbers.

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CSV 輸出 — 相容 Excel、Google 試算表及會計軟體。 了解更多 →

Excel 輸出 — 欄寬自動調整並套用數字格式，可直接用於分析。 了解更多 →

QBO 就緒輸出 — 相容 QuickBooks Online 及 Desktop。 了解更多 →

Xero 就緒輸出 — CSV 格式化，可直接匯入 Xero 銀行對帳單。 了解更多 →

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