The product is a document analysis tool that uses OCR technology to convert tables from documents into actionable data for shopping carts. It involves uploading documents, extracting data using AI, reviewing and approving results, and exporting or integrating the data through an API. The service offers different pricing plans based on usage needs.
Utilizes smart optical character recognition to automatically process and extract tables from documents.
Advanced machine learning algorithm that identifies and parses table data from PDF and image documents.
Supports multiple file formats for document uploads to ensure wide usability.
Allows users to quickly validate and approve extracted data through a user-friendly interface.
Enables the export of validated data to CSV/JSON formats for easy integration.
Access all features and data through RESTful API, allowing for integration into existing systems.
Step-by-step interface for easy and error-free processing of documents.
Use built-in extensions to customize and integrate workflow as necessary.
The service allows you to transform documents into actionable data by uploading, analyzing, and retrieving structured product information that can be added to an e-commerce cart. The workflow is broken into several steps handled by dedicated endpoints.
Provides a graphical user interface to unify the document analysis steps within your application, making it easier to map and validate extracted data before adding products to your cart.
Every request to the API must be authenticated with an API key and a digital signature. The authentication process involves obtaining API keys, including required headers in each request, and generating valid signatures.
This extension allows integration with Shopware 6, enabling automatic cart population from analyzed documents. It's available on Packagist and will soon be available on the Shopware Store.
This extension will enable integration with Shopify, facilitating automatic cart population from analyzed documents. It is expected to be released on May 1, 2025.