Bank statement extraction and analysis software
Every transaction from any bank, in any format, checked against the rest of the file. Your team reviews exceptions, not PDFs.
- 99% field-level accuracy
- <1 min per complex statement at Grid Finance
- SOC 2 Type 2, HIPAA and GDPR
- Account holder
- Harbor Street Bakery LLC99%
- Statement period
- Jul 1 – Jul 31, 202699%
- Opening balance
- $42,180.5599%
- Total deposits
- $88,412.1098%
- Closing balance
- $38,906.2199%
- Stated monthly revenue
- $120,000.00Deposits 26% lower
Docsumo is an intelligent document processing platform. Its bank statement extraction captures account details, balances and every transaction row from PDFs and scans, then flags missing pages, deposits that don't match stated income, and names or addresses that disagree with the rest of the file, before anyone on your team opens it.
Trusted by 10,000+ mid-sized and enterprise teams, including
- Grid Finance
- Hitachi
- PayU
Who uses it
Lending and underwriting
Income, cash flow and deposit history for the credit decision.
Medicaid and long-term care eligibility
Every statement in the packet read and checked before a caseworker opens it.
Debt settlement
Statements and creditor documents processed without anyone keying them in.
Financial services and accounting
Transactions pulled into reconciliation and bookkeeping without re-keying.
Every field, from every page.
Any bank, digital or scanned. The same structure every time.
| Field | Extracted value | Confidence |
|---|---|---|
| Account holder | Harbor Street Bakery LLC | |
| Address | 118 Harbor St, Portland, ME | |
| Bank name | First Midwest Bank | |
| Account number | •••• 4821 | |
| Account type | Business checking | |
| Statement period | 2026-07-01 → 2026-07-31 |
| Field | Extracted value | Confidence |
|---|---|---|
| Opening balance | 42,180.55 | |
| Total deposits | 88,412.10 | |
| Total withdrawals | 91,686.44 | |
| Closing balance | 38,906.21 | |
| Transaction count | 142 |
| Field | Extracted value | Confidence |
|---|---|---|
| Date | 2026-07-14 | |
| Description | ACH DEPOSIT STRIPE PAYOUT | |
| Amount | +3,284.10 | |
| Debit / credit | Credit | |
| Running balance | 51,902.44 | |
| Category | Card processor payout |
Values are illustrative. Field names and the output schema are configurable.
Catch the problem statement before a person does.
Each statement is checked on its own and against the rest of the file. Only failures reach your team.
Missing pages and months
Gaps in pages or periods are flagged.
Deposits vs stated income
Shortfalls show up before the decision.
Names and addresses
Matched against IDs, pay stubs and tax returns.
Statements that disagree
Flagged, not approved. Teams using cross-document validation see 64% lower fraud.
Uncertain fields
Fields the model is unsure about go to review; the rest post straight through.
What changes when statements stop waiting on people.
From inbox to decision, in five steps.
- 01
Collect
By email, upload or API, alone or in a full package.
Collection agent - 02
Classify and split
A 60-page upload becomes the documents inside it.
Classification agent - 03
Extract
Every field and transaction row, each with a confidence score.
Extraction agent - 04
Verify
Checked against the rest of the file and your rules.
Verification agent - 05
Analyze
Cash flow, deposit trends and risk flags.
Analysis agent
Every statement becomes a row, every field a column. Filter by asking a question, then export or send it on.
Values are illustrative.
“The accuracy and service have been amazing since day one, and the team is still incredibly responsive a year later.”
Mark Bentley, Deputy Head of Credit, Grid Finance- Debt settlement96.67%less processing time across 170,000 documents
“There's no way we could've scaled our operations as we did if it weren't for a product like Docsumo.”
Orla Kane, VP of Settlement OperationsRead the Clear One Advantage story → - Debt settlement95%of settlement documents processed straight through
Debt settlement documents processed without anyone keying them in.
From the National Debt Relief case studyRead the National Debt Relief story →
Clean data where your team already works.
SOC 2 Type 2Independently audited controls
HIPAAFor protected health data
GDPRFor EU personal data
JSON by API and webhook
Every field with a confidence score, posted to your system.
Your LOS, CRM or warehouse
Documents in by email, upload or API; clean data out to the system you decide in.
A test environment
Your engineers validate changes before they reach production.
Audit log and permissions
By role, team and document type. Every approval recorded.
What teams ask about bank statements.
What is bank statement extraction?
Bank statement extraction is the automated capture of account details, balances and every transaction row from a bank statement, turning a PDF or scan into structured data. Lenders, eligibility teams and finance teams use it to verify income, balances and cash flow without keying statements in by hand. Docsumo also checks each statement against the rest of the file, so gaps and mismatches are flagged before anyone opens it.
Can Docsumo read scanned statements from any bank?
Yes. Docsumo extracts account details, balances and every transaction row from bank statements from any bank and in any format, including scans, with no templates or training data. Each field comes with a confidence score.
How does Docsumo help catch fake or edited bank statements?
Docsumo checks each statement against the rest of the file: deposits against the income stated on the application, the account holder's name and address against IDs, pay stubs and tax returns, and the pages and months for gaps. When something disagrees, the case is flagged for review instead of approved. Teams that use cross-document validation see 64% less fraud.
How accurate is Docsumo on bank statements?
Docsumo reaches 99% field-level accuracy in production. Grid Finance processes a complex bank statement in under a minute at 94%+ extraction accuracy. Fields the model is unsure about go to a review queue, so a person checks only those.
How does the extracted data reach our systems?
Documents come in by email, upload or REST API, and structured JSON goes back to your systems by webhook, with a confidence score on every field. A separate test environment lets your engineers validate changes before they reach production.
What is bank statement analysis?
Bank statement analysis turns the transactions on a statement into the figures a reviewer decides on, such as deposit trends, balances and unusual activity. Docsumo extracts every transaction row with a confidence score and checks the statement against the rest of the file, so analysts start from data they can trust instead of a PDF.
How can you tell if a bank statement is fake?
A fake or edited bank statement usually fails a consistency check: balances that don't add up, deposits that don't match stated income or pay stubs, names or addresses that differ from the ID, or missing pages and months. Docsumo runs the checks across the file automatically, and teams using cross-document validation see 64% lower fraud.
Can ChatGPT analyze bank statements?
General AI models can read a bank statement, but production review also needs field-level confidence scores, a review queue, checks across documents, an audit log, SOC 2 and HIPAA controls, and the same output format every time. Docsumo provides that layer on top of the models.
Is it safe to upload bank statements to extraction software?
It is when the vendor is audited and controls access. Docsumo is SOC 2 Type 2 certified, HIPAA compliant and GDPR compliant, access is set by role, team and document type, and every review and approval is recorded in an audit log.
Can we test it on our own statements?
Yes. Book a demo and bring a real statement, and we will run it live. You can also start a free trial: 1,000 pages for 14 days, with no training data needed.
Bring a real statement to the demo.
Scanned, 40 pages, from a small regional bank. We run it live and show every field and every check.