How to Summarize PDFs and Documents in Code Interpreter by OpenAI

OpenAI’s Code Interpreter is doing wonders ever since it got launched. And if you are eager to learn how to Summarize PDFs and Documents by using the tool, this short blog post is for you.

Let’s get to it…

Using OpenAI’s Code Interpreter to Summarize PDFs and Documents

Below, I will be providing you with 2 different example prompts along with working screenshots so that you can get it done easily.

🎉 You also need to upload the required files (PDF, DOCX, DOC, TXT, RTF, and other document files) to the Code Interpreter for this operation. Just click on the small plus (+) icon in the left of the prompt input field to select and upload the files.

Prompt #1

Summarize the content of the uploaded large unformatted PDF document.

This prompt instructs the Code Interpreter to analyze and condense the contents of a large, unformatted PDF document that has been uploaded. It extracts key points, discards irrelevant information, and presents a brief overview of the document’s primary content.

Prompt #2

Summarize a substantial unformatted PDF document. The PDF may contain various elements such as text, tables, and other unstructured data. You may also need to use OCR. Comprehend and accurately summarize the content of the PDF, providing a concise and informative summary of the main points and key information present in the document.

This prompt instructs the Code Interpreter to generate a summary of a lengthy, unformatted PDF. It may need to utilize OCR to recognize text within images or tables. The goal is to distill the main points and crucial data from the PDF into a succinct summary.

🎉 You can modify the above prompts as per your use case to get the desired output. OpenAI’s GPT-4 is powerful and properly understands any prompt you provide.

Also, check some other interesting things that you can do with the OpenAI’s Code Interpreter model:

• Extract Text from Images
• Plot Mathematical Functions
• Generate a QR Code

I have also written a detailed post about the practical use cases of the Code Interpreter model that you may find helpful.

And if you get stuck somewhere, kindly feel free to let me know in the comments below.