Convert subpoenaed or client-produced PDF bank statements into clean, structured transaction data. Export to Excel for your own pattern analysis. All files deleted within 24 hours.
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Documentric converts PDF bank statements to clean, structured data. It does not flag fraud automatically, does not score risk, and does not interpret transactions. It gives investigators the verbatim transaction data — dates, amounts, payee names, running balances — that they need to perform their own pattern analysis in Excel, forensic software, or link analysis tools.
Three bottlenecks investigators encounter when working with raw bank statement PDFs.
Chase, Wells Fargo, Bank of America, regional banks, credit unions — each institution formats its statement PDFs differently. Normalizing transaction data across multiple institutions into a single timeline requires handling each format as a separate manual extraction task.
A financial investigation covering 24 months of transactions across three accounts can involve 500+ pages of PDFs. Manual data entry for a dataset that size takes days — time better spent on analysis rather than transcription.
Identifying a matching transfer between two accounts in two separate PDFs requires jumping between documents. Structured data in a spreadsheet makes cross-referencing by date, amount, or counterparty a search operation rather than a manual review.
Six fields extracted verbatim from every transaction in the source PDF.
Debit and credit amounts extracted exactly as they appear in the PDF, in the original currency notation. No rounding, no reformatting.
Transaction dates extracted verbatim, including posting date and value date where both appear in the source document.
The full description field from each transaction row — exactly as the bank printed it. No abbreviation or normalization.
The running account balance after each transaction, extracted verbatim. Supports reconstruction of the account balance at any point in the review period.
Add notes to individual transactions in the review interface before exporting. Annotations appear as an additional column in the Excel export.
Full transaction table exports to Excel (.xlsx) and CSV. Import into your forensic analysis platform, sort by any field, or build a cross-account transaction timeline.
Four steps from subpoenaed PDFs to structured data ready for analysis.
Collect bank statement PDFs from the subject, client, or via subpoena response. Any bank format accepted.
Upload PDFs to Documentric. Process multiple statements in sequence. Each PDF produces its own extracted transaction table.
Review the extracted table alongside the original PDF. Verify verbatim accuracy. Add inline annotations to flag specific transactions for follow-up.
Export to Excel. Merge tables across multiple accounts, sort by amount or date, and apply your own analysis methodology.
Four investigation contexts where structured bank statement data is a core input.
Audit teams reviewing employee expense accounts, corporate card statements, or business account activity use Documentric to extract transaction records for review without manual transcription.
Claims investigators examining financial consistency — income representations, asset movements, unusual transactions — structure bank statement data for analysis alongside other documentary evidence.
Forensic accountants supporting divorce proceedings use Documentric to extract transaction records from client or opposing-party bank statements for asset tracing and financial affidavit preparation.
Investigators examining financial records for proceeds of crime, money movement patterns, or financial structuring use structured transaction data to build timelines and cross-reference across accounts.
"The accuracy is incredible. I spot-checked extracted transactions against the original PDFs across three different bank formats and the data matched verbatim. That's what you need when the data is going into an investigation file."
Based on a typical investigation: 24 months of statements across 3 accounts (~300 pages).
Documentric achieves 99% accuracy on digital PDF bank statements. All extracted data is presented in a side-by-side review interface where investigators can verify each transaction against the original PDF before exporting. The tool extracts dates, amounts, payee/description fields, and running balances verbatim — no reinterpretation or categorization.
Documentric exports to Excel (.xlsx) and CSV. These formats are compatible with most forensic analysis tools, link analysis software, and financial investigation platforms. The Excel export preserves all transaction fields (date, description, debit, credit, balance) as discrete columns for direct import.
All file transfers use TLS encryption. Uploaded PDFs and all exported files are automatically deleted within 24 hours of upload — nothing is retained beyond the active session. Documentric does not retain, analyze for secondary purposes, or share the content of uploaded documents.
Documentric produces structured working copies of the verbatim data in the original PDF. The original bank statement PDF should be retained as the primary evidentiary document. The Excel export may be used as a working analytical document. Investigators should follow their jurisdiction's and organization's protocols for evidentiary documentation.
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