How to use OCR Table to generate CSV with Python

A Python-based solution is presented for converting JSON responses from the Eden AI OCR table API into CSV format, facilitating the extraction and transformation of tables from documents for data manipulation and analysis. The process involves using the Eden AI API to parse documents into JSON asynchronously, which is particularly beneficial for documents with multiple pages. This is followed by polling the asynchronous job to retrieve the results. Once the JSON table data is obtained, Python's CSV library is used to format and write the data into a CSV file. The guide assures that the integration is simple and can be implemented in various programming languages that support HTTP requests, with code snippets available for common languages. Additionally, it emphasizes GDPR compliance and data security, with Eden AI providing a single API key for accessing multiple providers, thus simplifying vendor management.

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