Documentric converts PDF bank statements — from any bank, any format — into structured, reviewable transaction tables. Investigators get the data; the analysis is theirs.
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Fraud investigation requires two things: reliable data, and expert analysis. Documentric handles the first. When investigators receive PDF bank statements, the first problem is getting that data out of the PDF and into a usable format. Manually keying transactions from a 30-page statement is slow and introduces its own errors. Documentric automates that extraction step — reliably, at scale, across any bank.
Documentric extracts verbatim transaction data from PDF bank statements. It does not flag fraud automatically — it gives investigators the structured data they need to perform their own analysis. Transaction amounts, dates, merchant names, and running balances are all extracted exactly as printed. No fraud scoring. No risk alerts. No black-box decisions. Just clean data for experts who know what to look for.
From PDF receipt to analysis-ready dataset — four steps.
Statements arrive via discovery, client submission, or subpoena. They may be from multiple banks, different date ranges, and in mixed PDF quality.
Upload one or multiple PDFs. Documentric handles digital and scanned statements, any bank, any layout — no configuration required.
Every transaction is displayed in an editable table. Verify extraction accuracy, annotate items of interest, and reconcile against the statement's opening and closing balances.
Download a CSV or .xlsx file. Sort by amount, filter by date range, pivot by merchant, or import into forensic analysis software for deeper investigation.
Every field Documentric extracts is available in the review interface and in the export file.
Every debit and credit is extracted verbatim from the statement — no rounding, no summarization. Investigators work with the precise figures as printed.
Date fields are extracted with full precision. For statements that include intraday timestamps, those are captured too — useful for timeline reconstruction.
The full transaction description is preserved exactly as it appears on the statement — including location codes, reference numbers, and merchant identifiers.
The account balance after each transaction is captured and displayed, making it easy to identify periods of unusual activity or sudden balance shifts.
Investigators can add notes to specific transactions in the review interface before exporting — useful for marking items of interest without altering the extracted data.
Export the full structured dataset as .xlsx or .csv for pattern analysis, timeline building, or import into forensic software such as IDEA or ACL.
Internal auditors reviewing employee expense accounts or business operating accounts can extract months of activity from PDF statements and analyze spend patterns in Excel — without relying on access to the original banking system.
In divorce and asset division proceedings, one party may submit bank statements as PDF exhibits. Documentric converts those statements to searchable, sortable transaction data — making it easier to identify undisclosed income or concealed transfers.
Claims investigators verifying financial loss or suspicious expense patterns can convert claimant bank statements to structured data for timeline and pattern analysis.
Forensic accountants tracing asset flows across multiple accounts and periods benefit from having every statement in a consistent, queryable format. Documentric handles any bank, any layout.
No. Documentric is a data extraction tool, not an automated fraud detection platform. It does not score transactions for fraud risk, apply rules engines, or generate fraud alerts. What it does is give investigators a clean, structured, verbatim record of transactions from PDF bank statements — so they can apply their own analysis, rules, and judgment. Purpose-built fraud detection platforms (like FICO, Actimize, or SAS) operate at the transaction monitoring layer and serve a fundamentally different function.
Documentric extracts data verbatim from the source PDF without modifying amounts, dates, or descriptions. The original PDF statement remains the primary document of record. In legal proceedings, the original PDF — obtained from the bank or produced in discovery — is the exhibit. The structured data Documentric produces is a derivative analytical tool. Consult your legal counsel regarding admissibility standards in your jurisdiction.
Documentric exports CSV and Excel (.xlsx) files. These formats are accepted by the leading forensic data analysis tools — including CaseWare IDEA, ACL (Galvanize), and Microsoft Excel's data analysis add-ins. The flat tabular format (one row per transaction, consistent columns) requires no transformation before import.
Transaction descriptions are extracted verbatim as they appear on the statement. Dates are standardized to ISO 8601 format (YYYY-MM-DD) for consistency, and amount fields are extracted as numeric values with the sign preserved (debits negative, credits positive). No merchant name normalization or data enrichment is applied unless transaction categorization is explicitly enabled — and that feature is clearly labeled.
Bank statements uploaded to Documentric are stored in encrypted Supabase Storage buckets and automatically deleted within 24 hours of upload. Files are not shared with third parties, not used to train AI models, and not retained beyond the processing window. For organizations with strict data handling requirements, on-premise or private cloud deployment options are available — contact us for details.