Digitize W-2 wage and tax statements from any employer—extract wages, federal and state withholdings, Social Security, and Medicare data automatically.
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.
“January is W-2 season for us. We process 4,000 W-2s in the first three weeks. W-2 OCR turned what used to be a data entry marathon into an automated batch operation.”
“Box 12 codes were always the hardest to key in manually. The OCR reads them correctly including the code letters, which eliminated a common source of filing errors.”
“Multi-state W-2s with multiple entries in Boxes 15 through 20 used to require careful manual attention. The OCR captures all state entries automatically.”
IRS Form W-2 is the most frequently processed tax document in the United States. Every employed individual receives at least one W-2, and tax preparation firms handle thousands during filing season. W-2 OCR automates the conversion of these forms from paper, scans, or photos into structured digital data, extracting wages (Box 1), federal tax withheld (Box 2), Social Security wages (Box 3), and all other standard fields.
The W-2 OCR challenge is primarily one of volume and format variation. While the IRS defines the W-2 layout, employers and payroll providers produce forms with varying fonts, spacing, and print quality. Copy A (sent to SSA), Copy B (filed with federal return), Copy C (employee record), and Copy 2 (state filing) may all have slightly different appearances. Large employers generate digital W-2s while small employers may still produce handwritten or dot-matrix printed forms.
Lido processes W-2 forms at any quality level and from any source. The AI identifies each box on the W-2 by context, extracting employee and employer information, federal and state wage data, withholding amounts, and benefit codes from Box 12. For multi-state employees, the system captures all state wage and withholding entries from Boxes 15 through 20.
Tax firms evaluating W-2 OCR should prioritize box-level extraction accuracy, support for all W-2 copies and variants (including W-2c corrections), batch processing speed for January through April volumes, and integration with e-filing systems. Lido provides all of these with field-level confidence scores and output in Excel, CSV, and JSON.
W-2 OCR converts paper, scanned, or photographed IRS Form W-2 wage statements into structured digital data. It extracts all standard fields including wages, withholdings, Social Security data, and employer information with box-level precision.
Yes. The AI handles Copy A, Copy B, Copy C, Copy 2, and W-2c correction forms. It processes W-2s from all employers regardless of the payroll system, print quality, or formatting variations used.
AI-powered W-2 OCR achieves 95 to 99 percent accuracy on clearly printed forms. Confidence scoring identifies uncertain values, which is important for fields like Box 12 benefit codes where characters may be closely spaced or partially printed.
Yes. Lido processes W-2 batches in parallel, handling thousands of forms in minutes. This is designed for tax preparation firms and payroll service providers who face concentrated W-2 processing volumes from January through April.
Extracted W-2 data is available in Excel, Google Sheets, CSV, and JSON. The REST API returns structured data with box-level field mapping for direct integration with tax preparation and e-filing 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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