Extract payee names, amounts, dates, bank details, memo lines, and MICR data from scanned checks into organized Excel spreadsheets—no manual keying.
Upload any document — PDF, scan, or photo — and get structured data back immediately. No setup, no templates, no waiting.
Audited controls over a sustained period, not a point-in-time check.
Bank-grade encryption at rest and TLS 1.2+ in transit.
Documents deleted within 24 hours. No copies retained.
Drag and drop files, connect a cloud drive, or set up email auto-forwarding. Any file format works—PDF, JPEG, PNG, TIFF, or digital documents.
The AI identifies fields by context and meaning, not fixed coordinates. Names, dates, amounts, and custom fields are extracted automatically.
Get structured output in Excel, Google Sheets, CSV, or JSON. Use the REST API for direct integration into your systems.
“Our lockbox operation processes 400 checks daily. Converting them to Excel automatically eliminated two data entry positions and reduced our reconciliation errors by 80 percent.”
“The handwriting recognition on payee names is impressive. Even checks with difficult cursive writing are read correctly most of the time, and the confidence scoring catches the rest.”
“Vendor check payments needed to be logged in our AP system. Batch conversion to Excel gave us a clean import file that replaced the manual check register our bookkeeper maintained.”
Checks remain a significant payment method in business transactions despite the growth of electronic payments. The Federal Reserve reports that billions of checks are still written annually in the United States. Businesses receive checks from customers, issue checks to vendors, and process check payments through lockbox operations. Accounting teams, banks, and payment processors need the data from these checks—payee, payer, amount, date, check number, and routing information—in structured digital formats for reconciliation, reporting, and compliance.
Check to Excel conversion automates the extraction of data from scanned check images into organized spreadsheet rows. The AI reads the handwritten and printed elements of each check: the payee name (often handwritten), the dollar amount in both written and numeric forms, the date, the memo line, the check number, and the MICR line containing the routing number, account number, and check sequence number. Each check becomes a row with consistent columns ready for reconciliation.
The handwriting challenge makes check processing uniquely difficult. Unlike invoices or forms where most text is printed, checks contain critical data in handwritten form. The payee name and dollar amount are typically handwritten, and the variety of handwriting styles is enormous. Lido uses AI vision models specifically trained on check imagery, handling the cursive writing, abbreviations, and formatting variations that are common on business and personal checks.
Organizations evaluating check to Excel conversion should consider accuracy on handwritten fields, MICR line reading reliability, support for various check formats and sizes, and security standards for financial documents. Lido provides SOC 2 Type 2 compliance with AES-256 encryption, and the confidence scoring system flags uncertain handwritten values for human verification rather than accepting potentially incorrect amounts.
Check to Excel extracts payee name, payer name, check amount (numeric and written), date, check number, memo line, bank name, routing number, account number, and MICR line data. Each check becomes one row in the output spreadsheet.
AI-powered check OCR achieves 93 to 98 percent accuracy on handwritten payee names and amounts. The system cross-references the written dollar amount with the numeric amount to detect discrepancies, and confidence scoring flags uncertain values for human review.
Yes. The AI reads the magnetic ink character recognition (MICR) line at the bottom of checks, extracting routing numbers, account numbers, and check sequence numbers. This data is critical for bank reconciliation and payment processing workflows.
Yes. Batch processing handles any volume of check images. A lockbox operation processing 500 checks per day can convert the entire batch to a single Excel spreadsheet in minutes rather than the hours required for manual data entry.
Extracted check data can be exported to Excel, Google Sheets, CSV, or JSON. The structured output is compatible with bank reconciliation tools, accounting systems like QuickBooks and Sage, and payment processing platforms.
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Built on Lido’s OCR engine
Built on Lido’s OCR engine
Built on Lido’s OCR engine
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