Extract checks to structured JSON

Checks contain payee, amount, date, and routing information in a compact format that mixes printed and handwritten content. Layout variation creates unique parsing challenges. Sensible extracts check data into validated JSON for payment processing and reconciliation workflows.

Why checks challenge automated extraction

Handwritten content, MICR line encoding, and compact layouts create unique OCR and parsing challenges.

Handwritten Content Recognition

Payee names, dates, and amounts are often handwritten. Sensible uses LLM parsing with confidence scoring to flag uncertain reads.

Bundled Applications

The MICR line encodes routing number, account number, and check number. Sensible extracts and validates each field.

Dense Checkbox Grids

Checks contain both a numeric amount and a written-out amount. Sensible extracts both and flags discrepancies between the two values.

Fields we extract

Extract any data you need from checks into your desired output schema

Check detail

Check number, date, payee name, numeric amount, written amount, memo/for line

Bank information

Bank name, routing number (ABA), account number, fractional routing number, MICR line (full)

Payer information

Payer name, payer address, signature presence, bank branch

Business Check

Corporate or business check often including remittance detail.

Cashier's Check

Bank-issued cashier's check with verification number and issuing institution.

Personal Check

Standard personal check with MICR line, payee, amount, and date fields.

Supported check types

Sensible processes all standard check formats including personal, business, and cashier's checks. Any check layout can be custom configured within a couple of hours.

By type

Personal checks, business checks, cashier's checks, certified checks, money orders

By format

Printed checks, handwritten checks, laser-printed checks, multi-part check stubs with remittance detail

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Common Questions

How Sensible extracts and validates check data.

What fields does Sensible extract from checks?

Sensible captures check number, date, payee name, numeric amount, written amount, memo, bank name, routing number, and account number.

Does Sensible handle handwritten checks?

Sensible uses LLM-based parsing for handwritten payee names, amounts, dates, and memo fields. Confidence scores indicate extraction certainty on handwritten content.

Can Sensible read the MICR line on checks?

Yes. Sensible extracts the routing number, account number, and check number from the MICR (Magnetic Ink Character Recognition) line at the bottom of the check.

Do you support webhooks?

Yes. Sensible sends extraction results to your webhook endpoint when processing completes. You can also poll the API for status.

Does Sensible support human review?

Yes. Sensible flags extractions with low confidence for human review. You can configure review thresholds and workflows.

What security certifications does Sensible have?

Sensible is SOC 2 Type II certified and HIPAA compliant. Data is encrypted in transit and at rest.

How long is document data retained?

Documents are deleted after 30 days by default. You can configure shorter retention periods or request immediate deletion via API.

Is there a free trial?

Yes. Sensible offers a free tier with 50 documents per month. No credit card required to start.

How is pricing structured?

Sensible uses per-document pricing for predictable costs. No token-based billing or usage surprises. Volume discounts are available for higher throughput.

How do I integrate with Sensible?

Sensible provides REST APIs and SDKs for Python and Node.js. Most integrations take a few hours. Webhooks, Zapier, and direct API calls are all supported.

What file formats does Sensible support?

Sensible processes PDF, PNG, JPG, and TIFF files. PDFs can be native or scanned.

How accurate is the extraction?

Accuracy depends on document quality and configuration. Most production deployments achieve 95%+ accuracy with proper validation rules and confidence scoring.

How fast is document processing?

Most documents process in 2 to 10 seconds depending on complexity and page count.