W-2, 1099 및 세금 문서의 AI 추출

Document extraction runs as a pipeline. First comes capture: a phone photo, scanned PDF or digital download. Next, OCR turns pixels into text. Layout analysis then figures out which text belongs to which box. A field-mapping step labels each value, for example W-2 Box 12 code D, or 1099-INT Box 1 interest income. Finally, validation rules check whether the numbers make sense together before they reach the return. Standard forms are the easy case because their layouts are fixed. Cloud providers and tax software vendors offer prebuilt models for common US tax forms. Many consumer programs also skip OCR entirely when they can import data directly from participating employers and brokers, which avoids recognition errors altogether. The hard cases are predictable. W-2 Box 12 codes and Box 14 entries vary by employer. People who worked in more than one state have several state lines. Consolidated brokerage statements contain many 1099-B transactions, adjustments for wash sales, and sales where cost basis was not reported to the IRS. Brokers often issue revised consolidated statements after the first mailing. Corrected 1099s carry a CORRECTED checkbox, and corrected W-2s arrive on a separate form, the W-2c. If both the original and the corrected form get entered, income is double-counted. The key misconception is that an import or extraction is automatically right. Extraction can only be as accurate as the source form. If a payer made the error, the software copies it faithfully, and the IRS will match your return against what the payer filed. Good practice is to compare extracted totals with the paper form, check for corrected versions before filing, and compare against the wage and income transcript available through the IRS online account once it has been populated.