How to Extract Tables in Images / PDF with Python?
Blog post from Eden AI
The tutorial describes how to use the OCR Table API from Eden AI to quickly extract tabular data from PDFs and images using Python, leveraging a combination of Optical Character Recognition (OCR) and machine learning models. It outlines the steps to get started, including installing necessary Python packages like requests and JSON, obtaining an API key from Eden AI, and processing files in various formats such as .pdf, .jpg, .png, or .jpeg. The API allows users to switch between different OCR engines, providing results in a standardized JSON format, and supports easy integration with customization options. The tutorial emphasizes the time and cost savings from using a unified API platform, the ease of integration, and the security of data in compliance with GDPR. It also provides guidance on handling errors and rate limits, and highlights the benefits of Eden AI’s ability to aggregate multiple AI providers with a single key, streamlining the process for developers.
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