Documentric extracts every transaction from PDF bank statements and structures it for analysis. Identify income sources, recurring expenses, cash flow patterns, and anomalies — then export to Excel, CSV, or QBO.
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Structured transaction data from bank statements is valuable across a wide range of professional workflows.
Verify consistent income deposits, flag large irregular credits or debits, and confirm 2–3 months of reserves — all from structured statement data.
Build a complete transaction timeline from multiple bank statements for litigation support, asset tracing, or divorce proceedings.
Identify business income, deductible expenses, and estimated tax payments from a full year of bank activity — without manual re-entry.
Assess cash flow patterns, identify top vendors by spend, and track monthly revenue trends from operating account statements.
Upload, extract, and export — the structured data is ready for analysis in any tool.
Upload any PDF bank statement — digital or scanned, from any bank. No templates or configuration required.
Every transaction is extracted with its date, description, amount, and running balance. Recurring and large transactions are automatically tagged.
Download as CSV, Excel (.xlsx), or QBO. The dataset is ready for pivot tables, charting, BI tools, or import into your analysis workflow.
Identifies recurring deposit patterns — payroll, rent income, freelance payments — and separates them from one-off credits and transfers.
Flags regular monthly debits (subscriptions, loan payments, rent) so analysts can distinguish fixed costs from variable spending.
Summarizes total inflows and outflows by month, giving a quick read on net cash position across any statement period.
Highlights transactions above a configurable threshold — useful for identifying large asset movements, unusual payments, or single large income events.
Aggregates spend by merchant across the full statement history, revealing top payees by transaction count and total spend.
Export the full structured dataset as .xlsx or .csv for pivot tables, charting, or import into BI tools.
Documentric's CSV and Excel exports are designed to drop directly into your analysis environment. The flat tabular structure works in Excel pivot tables, Google Sheets, Power BI, and Tableau without any data cleaning. Every transaction row includes date, description, debit, credit, and running balance columns. Optional category columns are included when transaction categorization is active.
Each profession uses bank statement data differently. See the solution page for your role.
Reconcile client accounts, prepare financial statements, and speed up month-end close using structured bank data.
View solution →Verify income, confirm reserves, and assess debt obligations from bank statements in the loan origination process.
View solution →Build asset and income timelines from joint and individual bank statements for divorce, support, and property proceedings.
View solution →Extract clean, structured transaction data for fraud investigation, forensic accounting, and asset tracing.
View solution →Yes. Documentric extracts every deposit with its date and amount. Once exported to CSV or Excel, you can calculate average monthly income with a simple formula. On the Business plan, monthly income summaries will be available directly in the review interface.
Exporting to QuickBooks (QBO) imports transactions into your accounting ledger. Financial analysis is about interrogating the data — finding patterns, spotting anomalies, and producing summaries for reporting or decision-making. Documentric's CSV and Excel export is designed for analysis workflows rather than accounting import.
Yes. Upload multiple PDF statements for the same account — Documentric extracts each one and you can export all transactions to a single spreadsheet. From there, a date-sorted dataset covering 3, 6, or 12 months is ready for analysis.
Not currently. Documentric focuses on producing clean, structured data. Charts and visualizations are best produced in Excel, Google Sheets, or a BI tool using the exported data. Income/expense summary charts are on the product roadmap for a future release.
CSV or Excel (.xlsx) is recommended for analysis workflows. The CSV export includes all fields — date, description, debit, credit, running balance, and category if assigned — in a clean tabular format ready for pivot tables or data transformation.