Coconut + Forensic Accountants: Faster Bank Import
Forensic accountants investigating fraud or financial irregularities need to process hundreds of bank statements into analysable data. If you use Coconut for your accounting, you need a fast way to get bank statement data into the system.
BankScan AI for Forensic Accountants Using Coconut
BankScan AI converts any bank statement PDF to CSV formatted for direct import into Coconut. Bulk-convert bank statements into structured spreadsheets for pattern analysis, timeline reconstruction, and expert witness reporting.
The Forensic Accountants + Coconut Workflow
Forensic accountants receive large volumes of bank statements through court orders or client disclosure. They convert statements to structured data, build transaction timelines, identify unusual patterns such as round-sum transfers or structuring, cross-reference transactions across multiple accounts, and prepare expert witness reports with supporting schedules.
Key terms you'll encounter: transaction tracing, fund flow analysis, structuring, Benford's Law analysis.
How It Works
Upload any bank statement PDF
Supports all major banks. Saves 4-8 hours per investigation on initial data extraction, allowing forensic accountants to focus on analysis rather than data entry across cases spanning hundreds of statements
AI formats for Coconut
Output as CSV with Date, Description, Amount — Coconut accepts a single amount column with positive for income and negative for expenses — dates in DD/MM/YYYY.
Import and reconcile
In Coconut, go to Transactions > Import. Upload the CSV from BankScan AI to bring in transactions from external bank accounts alongside your Coconut banking data. Coconut auto-categorises imported transactions by comparing them against your existing Coconut transaction categories, learning your categorisation preferences over time.
Supported Banks
BankScan AI works with all major UK and US banks, including:
Coconut Features for Forensic Accountants
- Coconut ready — Output formatted as CSV matching Coconut's expected column structure
- Smart integration — Coconut auto-categorises imported transactions by comparing them against your existing Coconut transaction categories, learning your categorisation preferences over time.
- Built for Forensic Accountants — Saves 4-8 hours per investigation on initial data extraction, allowing forensic accountants to focus on analysis rather than data entry across cases spanning hundreds of statements
- Software compatible — Output works directly with CaseWare, IDEA Data Analysis, Excel with Power Query
Import Steps for Forensic Accountants Using Coconut
As forensic accountant, here's how to get bank data into Coconut:
- In Coconut, go to Transactions > Import
- Upload the CSV from BankScan AI to bring in transactions from external bank accounts alongside your Coconut banking data
Common Import Issues
Coconut is primarily a banking app — the import feature is designed for bringing in transactions from non-Coconut accounts. Large file imports may time out on mobile.
Coconut Import — Built for Forensic Accountants
Niche player combining business banking with basic bookkeeping. Targets freelancers who want banking and accounting in one app without managing separate tools.
Try Free — Coconut + Forensic Accountants