Accurate data extraction from PDFs and images with AgentQL

Have you ever tried to scrape PDF documents? Or needed to handle text extraction from image files like JPGs?

We heard you, and we're excited to add this new experimental feature to our suite of data extraction tools. This enhancement allows you to seamlessly retrieve product details, user reviews, and more information from your documents and images without adding additional lift, like complicated OCR (Optical Character Recognition), to your extraction process. You can now try out extracting structured data from document types, from PDFs to image files, in the AgentQL Playground.

This new tool handles complex layouts (including multi-column layouts and complex tables) and unstructured documents. It can extract data from different types of documents, including PDFs and image files like JPGs and PNGs.

How to perform data extraction from images and PDFs with AgentQL

For accurate data extraction from PDF files and images:

Access the Playground: Navigate to AgentQL's Playground.
Enable Document Mode: Click the "Document (Experimental)" toggle.
Upload Your File: Choose your PDF, JPG, or PNG file by clicking "Choose file", or drag and drop it into the preview area.
Input Your Query: Enter a natural language AgentQL query in the query box, or use the "Suggest a Query" button to have AgentQL generate one for you.
Fetch Data: Click the "Fetch Data" button to extract the information.

Save hours of manual data entry

You can use AgentQL on historical documents, tax forms, bank statements, and other financial documents. Our tool can handle all kinds of extraction from PDFs and image file formats, saving you hours of manual labor.

How AgentQL uses Artificial Intelligence and natural language to extract data from different file formats

AgentQL uses artificial intelligence (AI), language modules, and other advanced technologies to extract image and PDF content based on users' natural language queries. No OCR technology (Optical Character Recognition), programming language, or model training is required—although we do have an SDK coming soon!

This powerful tool is currently a beta feature exclusive to AgentQL's Playground and is not (yet) available in our SDKs. If you'd like to try out the SDK version and possibly add it to your PDF data extraction pipeline, please reach out to join AgentQL's Beta Access Program! We gain valuable insights from working with data scientists and engineers like you who help us make AgentQL the most reliable data extraction solution.

Thank you for building with us!

—The Tiny Fish Team Building AgentQL