Convert Screenshot to Arrow

Screenshots are pictures of what's on a computer or phone screen. We can pull structured data from these images, no matter if they're PNGs, JPEGs, or other image types.

We focus on getting tables out of screenshots. We turn what you see in the image into data you can work with on a computer. This lets you easily analyze and use information that was stuck in picture form before. It's pretty neat.

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.