Convertir un relevé PDF Chase en CSV, Excel

Comptes et difficultés de relevé Chase

Formats de relevé que nous avons vus et vérifiés pour leur précision.

Chase Business Complete Checking

business account

Difficultés courantes de ce format :

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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Voir la conversion de ce relevé

Exemple synthétique d'un relevé bancaire de Chase

Chase Total Checking

checking account

Difficultés courantes de ce format :

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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Export prêt pour QBO — compatible avec QuickBooks Online et Desktop. En savoir plus →

Export prêt pour Xero — CSV formaté pour une importation directe des relevés bancaires dans Xero. En savoir plus →

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