The FASTEST Way to Extract Complex Data from Tables in Bank Statements.

TL;DR

1. You can now extract tables from custom bank statements automatically using Docsumo.
2. No setup or complex configuration is required; just upload and process.
3. Key-value pairs and table data can be extracted with high accuracy.
4. Works with custom document types, not limited to pre-built templates.
5. Extract structured data from PDFs in seconds, ideal for finance, insurance, and RPA teams.

Manually extracting tables from bank statements is time-consuming and often riddled with errors. Scanning through line items, copying data into spreadsheets, and checking for inconsistencies can eat up hours of your team's time.

But what if you could handle the entire process in just a few clicks, with no setup, no custom coding, and full table extraction? That’s exactly what Docsumo’s AI-powered custom document processing delivers.

Whether you're automating underwriting, reconciliation, or onboarding workflows, this guide shows you how to extract complex table data from financial documents accurately and effortlessly.

You’ll also find answers to key questions about how the feature works, supported formats, and how to get started without technical overhead.

1. How does Docsumo extract tables from bank statements without setup?

A: Docsumo uses AI Assist to identify and extract both key-value pairs and tables directly from your uploaded documents. Once you define a custom doc type and add a table field, the system automatically understands the table structure without additional rules.

2. What’s a custom doc type ?

A: A custom doc type lets you train Docsumo to process your document formats, not just predefined ones. For example, if you receive bank statements in a unique layout, you can define your fields and extract data accordingly.

3. Can I extract transaction details like date, description, credit, debit, and balance?

A: Yes. With table field definitions, you can easily extract column-wise transaction data. You define the column headers (e.g., Date, Description, Credit, Debit, Balance), and Docsumo handles the rest.

4. Do I need to train the system with multiple documents?

A: Not necessarily. Docsumo can begin extracting relevant data from your first upload using pre-trained AI models. You can always fine-tune fields later if needed.

5. What happens if there are spelling errors or data inconsistencies in the table?

A: Docsumo is built to interpret imperfect data intelligently. Even with minor typos in column headers, the system still successfully identifies and extracts accurate table data.

6. Is this different from using the US bank statement extractor?

A: Yes, this method uses a custom doc type, which is separate from Docsumo’s built-in U.S. bank statement extractor. The built-in extractor is optimized for standard formats, while custom document types provide flexibility for any layout.

7. What are the key benefits for finance and insurance teams?

A: Finance and insurance teams can save hours per document by automating data capture. It eliminates manual errors, reduces turnaround time, and integrates seamlessly into RPA or approval workflows.

ClearOne Advantage processed over 10,000 debt settlement letters per month, achieved around 93.7% data extraction accuracy, and cut manual processing time in half. By implementing Docsumo, they saved over 3,200 hours annually, allowing debt specialists to focus on more strategic tasks instead of manual data entry.

8. Can this be used for customer onboarding and underwriting?

A: Absolutely. You can integrate bank statement data extraction into your customer onboarding, credit analysis, or underwriting pipeline. This provides you with instant insights and enables faster decision-making.

9. How do I get started with setting this up?

A: Just log into your Docsumo dashboard, upload a document, create a custom doc type, define fields, and hit “Extract.” That’s it, no coding or templates needed. Need a walkthrough? Watch the quick setup video to see how it works step by step.

10. What’s the fastest way to test it out today?

A: Use one of Docsumo’s sample bank statements or upload your own, define the table field with column names, and let the system do the rest. You’ll see results within seconds.

Final Thoughts

Extracting structured data from bank statements no longer needs to be a bottleneck. Whether you're processing 10 or 10,000 statements a day, Docsumo’s AI-powered platform scales with your needs, removing manual effort and improving speed and accuracy.

Start your trial today and experience fast, reliable table extraction with no setup.