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Bank & Statement Import

Link your bank for real-time transaction feeds, or bring in statements from CSV, Excel, and PDF. Intelligent categorization handles the heavy lifting so you can focus on analysis.

Try It Free
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NEW: Automatic Bank Feeds

Link your financial institutions directly to Kantivo. Transactions flow in on their own -- no file exports, no drag-and-drop, no repetitive steps. Press Sync and your latest activity is right there.

Chase Bank of America Wells Fargo Capital One 5,000+ Banks
1-Click
Connect
Auto
Sync
Secure
Bank-Level Encryption
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Statement Bucket (PDF Import)

Want to work with downloaded files? Place your PDF bank statements right into Kantivo and let the AI-driven parser pull every transaction out for you.

Chase Bank of America Wells Fargo Capital One + More

Three Flexible Import Paths

Pick the approach that fits your institution and workflow, or combine all three for full coverage.

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Bank Feed

Link your accounts directly. Activity arrives automatically with one press.

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Statement Bucket

Upload PDF statements and let AI extract every line item instantly.

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Manual Import

Bring in CSV, Excel, QBO, OFX, or QFX files. Compatible with virtually every financial institution.

Intelligent Transaction Matching

After import, each transaction passes through a multi-stage classification engine. The vast majority are sorted automatically; you only handle the outliers.

1

Import

Bring in your data

2

Match

Auto-classify

3

Review

Handle outliers

4

Accept

Commit to ledger

Six Classification Stages

Each transaction is evaluated through progressively deeper layers of confidence before reaching your review queue.

✅ Auto

Auto-Matched

High-confidence assignments based on your established mapping rules. Approve them right away.

📐 Rule

Rule-Matched

Identified through custom criteria you define -- description keywords, amounts, or vendor patterns.

💡 Smart

Smart-Matched

AI-driven suggestions derived from historical transaction patterns. Easy to verify with one click.

🔍 Review

Needs Review

Unfamiliar or one-off transactions that require your manual input for proper categorization.

📋 Existing?

Potential Duplicate

Appears to overlap with an entry already on your ledger. Confirm or dismiss the match as needed.

✔️ Accepted

Accepted

Verified and approved. Queued for posting to your general ledger.

Build Your Own Mapping Rules

Train Kantivo to recognize your recurring transactions. Every rule fires automatically on future imports, eliminating repetitive manual sorting.

Example Rules

If description contains "ELECTRIC" → Utilities Expense
If description contains "STARBUCKS" → Meals & Entertainment
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If description contains "RENT" and amount = -2500 → Rent Expense + Assign to Landlord

Frequently Asked Questions

Which institutions are supported?

Bank Feeds: Over 5,000 US financial institutions are available, spanning major banks like Chase, Bank of America, Wells Fargo, Capital One, and the majority of regional credit unions.

Manual Import: Any institution that provides CSV, Excel, QBO, OFX, or QFX exports -- essentially all of them. QuickBooks Online exports are also accepted. PDF parsing covers most major US banks including Chase, Bank of America, Wells Fargo, Capital One, Citi, and others.

How are duplicates prevented?

Kantivo cross-references date, amount, and description fields to ensure the same transaction is never imported a second time. The "Potential Duplicate" stage also flags entries that may overlap with records you entered by hand.

Does this work with credit card statements?

Absolutely. Credit card statements are processed identically to bank statements, letting you track card expenses and reconcile balances in the same workflow.

What if a category assignment is incorrect?

Simply reassign the category before you accept. You can also define a new rule at that point so future transactions with similar attributes are classified correctly from the start.

Eliminate Repetitive Data Entry

Bring your bank activity in within seconds. The matching engine takes care of the rest.

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