Parse W-2s, 1099s, 1040s, and K-1s into clean, structured data—JSON, Excel, or CSV—for automated tax preparation and compliance workflows.
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 tax automation pipeline requires data in a specific JSON schema. The parser outputs exactly the structure we need, which eliminated a custom mapping layer we had been maintaining.”
“Field-level mapping accuracy is what matters for us. The parser correctly distinguishes W-2 Box 1 from Box 3, which was a constant source of errors with our previous tool.”
“We parse thousands of mixed tax documents each season and feed them directly into our preparation software. The batch processing and API integration made this fully automated.”
Tax document parsing converts unstructured tax forms into structured data that downstream systems can consume automatically. Unlike basic extraction that simply pulls text from a document, parsing maps each field to a defined schema—ensuring that a W-2 Box 1 value lands in the wages column, a 1099-NEC Box 1 value lands in nonemployee compensation, and a K-1 Line 1 value maps to ordinary business income. This structured output enables fully automated tax preparation pipelines.
The parsing precision required for tax automation is higher than general document processing. Tax preparation software expects data in specific formats with specific field mappings. A parsed W-2 must distinguish between Box 1 (wages), Box 2 (federal tax withheld), Box 3 (Social Security wages), and Box 4 (Social Security tax)—values that often appear close together on the form. Incorrect field mapping creates filing errors that trigger IRS notices.
Lido provides schema-aware tax document parsing that maps every field to its correct box number and category. The parser handles all standard IRS forms and automatically identifies the form type, extracts fields with their box-level mapping, and outputs clean JSON or tabular data that integrates directly with tax preparation and practice management software.
Tax technology teams evaluating parsing solutions should focus on field-level mapping accuracy, schema compatibility with their tax software, API reliability for production pipelines, and error handling for edge cases like amended returns and corrected forms. Lido provides all of these with confidence scoring, batch processing, and SOC 2 Type 2 certification.
Tax document parsing is the process of converting tax forms into structured data with precise field-level mapping. It goes beyond basic extraction by ensuring each value maps to its correct box number and category, producing output that integrates directly with tax preparation software.
Extraction pulls data from a document. Parsing adds structure by mapping each field to a defined schema. For example, parsing a W-2 maps Box 1 to wages, Box 2 to federal tax withheld, and Box 12 codes to their respective categories. This structured mapping enables automated downstream processing.
Lido parses all standard IRS forms including W-2, all 1099 variants, Form 1040 and variants, Schedule K-1 from partnerships and S-corps, and common state returns. The parser automatically identifies form types and applies the correct field schema.
Yes. Parsed output is available as structured JSON with box-level field mapping, making it compatible with tax preparation software APIs. Excel and CSV output with labeled columns is also available for manual import workflows.
AI-powered tax document parsing achieves high accuracy on field identification and box-level mapping. Confidence scores are provided for every field, allowing automated workflows to route uncertain values to human review rather than filing with potentially incorrect data.
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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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