What is Pix2Struct?

Pix2Struct is a machine learning model designed to convert images of documents into structured representations. It combines the capabilities of computer vision and natural language processing, allowing extraction of text and document structure (such as tables, lists, headers) from images.

Main features of Pix2Struct:

• Uses a transformer architecture trained on a large number of image pairs and corresponding structured data.
• Enables OCR tasks with additional understanding of document structure, which is important for automating the processing of invoices, forms, reports.
• Provides more accurate and context-dependent information extraction compared to traditional OCR systems.

Example of application: uploading a photo of an invoice, after which the model returns data in JSON format with fields "date", "amount", "supplier", etc., ready for automatic processing.