Convert W-2 Form to Arrow

The W2 Form, or Wage and Tax Statement, is a crucial document that shows how much an employee earned in a year and how much tax was taken out of their paycheck. Our system can pull structured data from W2 forms whether they are PDFs or scanned images.

We can extract these main parts:

• Employee name and Social Security Number
• Employer name, address, and Employer Identification Number (EIN)
• Wages, tips, and other pay
• Federal income tax withheld
• Social security wages and tax withheld
• Medicare wages and tax withheld
• State and local income tax info
• Tax year

This is really helpful for:

• Processing and checking payroll
• Preparing and filing taxes
• Keeping employee records
• Auditing and making sure rules are followed

By pulling data from W2 forms, you can make tax preparation easier, ensure accurate reporting to tax authorities, and easily add employee wage info to various HR and financial systems.

Apache Arrow is a cross-language platform for in-memory data. It defines a standard columnar memory format for flat and hierarchical data that works across different programming languages. This format is optimized for efficient analytics on modern hardware like CPUs and GPUs.

Arrow can handle complex nested data structures and lets you query and work with specific columns without reading the entire dataset.

Key Features

• Columnar memory format for flat and hierarchical data
• Works with any programming language
• Optimized for analytics and modern hardware
• Supports complex nested data structures
• Enables efficient zero-copy reads

Use Cases

Apache Arrow shines in scenarios like:

• Big data processing and analytics
• Machine learning and AI pipelines
• Data exchange between different systems and languages
• High-performance computing applications

Its efficient memory layout and standardized format make it a great choice for applications that need fast data processing and compatibility between different tools and languages.