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BANK STATEMENT PARSING

Parse any bank statement. Any format. Under 5 seconds.

PDF, CSV, scanned image — doesn't matter. Upload it. Get clean, structured JSON back. 900+ bank formats recognized automatically.

Chase_Statement_Jan2025.pdf

3 pages · 1.2 MB

PARSED
Bank identified
Chase
Pages scanned
3 of 3
Transactions extracted
47 found
Fraud check
Passed

Extracted Data

Opening Balance

$5,000

Closing Balance

$6,200

Transactions

47

Accuracy

99.5%

Processed in3.2 seconds
<0s
Average parse time
0+
Bank formats
0.0%
Field accuracy
PDF, CSV, IMG
Formats supported

From raw document to structured data in four steps

Our AI handles the complexity. You get clean, reliable data.

STEP 1

Upload

Drop your file. Single or batch.

STEP 2

Identify

Auto-detects bank, format, layout.

STEP 3

Extract

AI extracts every transaction and field.

STEP 4

Deliver

Clean JSON via API or webhook.

If it's a bank statement, we can read it

Four input formats. One consistent output.

Digital PDFs

~2s

Native PDF statements from online banking portals. Fastest processing.

Scanned Documents

~4s

Physical statements scanned to PDF. AI-powered OCR extraction.

CSV & Excel

~1s

Exported transaction files. Direct ingestion with format mapping.

Images (JPG, PNG)

~5s

Phone photos of statements. Yes, even crumpled ones work.

99.5% field-level accuracy. Verified.

We don't guess. We verify every extraction against multiple validation layers.

Transaction amounts99.8%
Transaction dates99.6%
Descriptions99.2%
Running balances99.7%
Account numbers99.9%

How we stay accurate

Reference Library

900+ verified bank templates

Self-Improving AI

Learns from every document

Validation Layer

Cross-checks all calculations

Human Review Flags

Edge cases get expert attention

SEE IT IN ACTION

Your data, structured and verified

This is exactly what you see when you parse a document with ClearStaq. Click any tab to explore.

Chase_Business_Jan_2026.pdf
Bank: JP Morgan ChasePeriod: 2026-01-01 to 2026-06-30Account Holder: Acme CorporationAnalysis ID: CSQ-A8F209
Account: ****1234SUCCESS
Parse Time: Completed in 3.2s
Salesforce:synced
Salesforce Sync Status
Est. Monthly Revenue
Avg Daily Balance
Total Deposits
NSF Count
Negative Days
True Revenue
Key Financial Metrics
EST. MONTHLY REVENUE
$18,627+12%
AVG DAILY BALANCE
$7,405
TRUE REVENUE
$111,763+8%
TOTAL DEPOSITS
$334,890+15%
TOTAL WITHDRAWALS
$338,097-3%
NET CASH FLOW
-$3,207-5%
AVG DEPOSITS/MONTH
37
NSF COUNT
0
NEGATIVE BALANCE DAYS
0
LOWEST DAILY BALANCE
$233
HIGHEST DAILY BALANCE
$18,291+22%
BANK ACCOUNTS
1
Monthly Statement Summaries
MonthStarting BalanceEnding Balance# Neg Days
Jan 2026$5,234$6,8910
Feb 2026$6,891$5,4560
Mar 2026$5,456$8,1230
Apr 2026$8,123$7,2340
May 2026$7,234$9,4560
Jun 2026$9,456$7,8910

Try it with your own documents

50 documents free. 30 days. No credit card.

900+ banks and counting

From the Big Four to your local credit union.

Chase
Bank of America
Wells Fargo
Citi
Capital One
US Bank
PNC
TD Bank
Truist
Fifth Third
Regions
KeyBank
M&T Bank
Huntington
Ally
+885 more
0%
Major US banks
0%
Regional banks
0+
Credit unions
0+
Countries supported

Gets smarter with every statement

Our AI doesn't just process — it learns. Every document improves our format detection and extraction accuracy.

1
New bank format detected automatically
2
Template verified against known patterns
3
Added to reference library within 48 hours
4
All future documents benefit instantly
Detect
Verify
Learn
Deploy

Continuous learning loop processes 0K++ statements monthly

Stop reviewing statements manually.

Join the brokers, lenders, and firms that parse thousands a day.

50 free documents. No credit card. No sales call required.

Start free — no credit card required

Take back your time and automate loan underwriting

Join 500+ lending teams using ClearStaq to parse statements, catch fraud, and verify income — all in under 5 seconds.

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