How to Summarize a Large Text with GPT-3

Do you need to quickly summarize a lengthy text but don’t have the time or energy to do so? Generative AI and GPT-3 have come to the rescue! 

With GPT-3, Davinci 3, now you can easily and accurately summarize large texts in no time at all. 

This article will focus on how to use GPT-3 to effectively generate an engaging summary for a text of over 4000 tokens. 

Furthermore, we will discuss the use cases of GPT-3 and how it can be applied to create blog post snippets, highlight key points for research papers, and more. 

By the end, you will have the tools to quickly and accurately summarize large texts with GPT-3.Β 

Read more or watching the YouTube video(Recommended)


How To Use GPT-3 Davinci 3 to Summarize a Text Over 4000 Tokens

GPT-3 is a powerful tool for summarizing long texts quickly and accurately. This article will discuss how to use GPT-3 to create a summary or blog post from a large input text, such as one over 4000 tokens. 

The process involves storing the original text into a file, splitting it into smaller chunks, and utilizing Python to write the summarized files from the chunks into a single text file. The Large Language Model GPT-3 can then be used on this final file to generate a blog post or summary.

This method can be seen in action in the YouTube video using the example of a summary of the book The Psychology of Money by Morgan Howsell, which contains approximately 4000 words and 22000 characters. 

After using GPT-3, a step-by-step guide is generated, completely summarizing the source material in a much more compressed way. 

This article presents a clear demonstration of how GPT-3 can be harnessed to efficiently summarize large texts.


Flowchart Python + GPT-3 to Super Compress a Large Text

This text provides a guide on using GPT3 to summarize long text into shorter and more engaging pieces. The guide recommends a flowchart approach, which is followed step-by-step to turn a long text file of 4,000 words or more into an engaging summary.

Step 1: 

Collect and save a large text file or data set, with more than 4,000 words, into a file.

Step 2: 

Use Python to split the large text file into smaller chunks, that can be saved into separate text files.

Step 3: 

Enter each of the chunks into GPT3 and summarize them.

Step 4: 

Use Python to synthesize the summarized chunks into a single, compressed text file.

Step 5: 

Enter the compressed text file back into GPT3 and have it create an article, post or summary from the given data.

The example text used a 4000 word excerpt from the book “The Psychology of Money” by Morgan Housel, to demonstrate how the flowchart approach works.

After running the script, the entire excerpt was transformed into a super compressed text, which provided an effective and engaging step-by-step guide from the given text. 

Through this approach, large files can be effectively and quickly summarized and transformed into engaging pieces for articles and posts.


GPT-3 Davinci 3 Summarizing Use Cases

We all know how difficult it can be to summarize a lengthy text – it usually requires hours of hard work and concentration to distill relevant information down into its essence. 

Thankfully, we now have the help of Generative AI and a particularly powerful tool called GPT-3 to help us make the summarizing process easier, quicker and more accurate.

GPT-3 with Davinci 3 makes it an invaluable productivity tool for automatically summarizing long texts, making our lives and work so much easier.

The possibilities of GPT-3 for summarizing long texts are far-reaching and can be applied to almost any situation where you need to quickly get the gist of a text. 

From highlighting key points for research papers to writing snippets for popular blog posts, GPT-3 can greatly improve our ability to craft compelling, relevant and time-saving summaries.


In conclusion, GPT-3 with Davinci 3 is an invaluable tool for quickly and accurately summarizing long texts, enabling us to quickly and easily extract relevant information without the need for long and arduous processes. 

It offers a far-reaching application and can be used to summarize texts for almost any purpose, from research papers to blog posts.

The benefits of GPT-3 for summarizing tasks cannot be understated, and its application and capabilities should be taken advantage of in order to maximize our productivity and time.


  1. The image above the title “GPT-3 Davinci 3 Summarizing Use Cases” with the filename “gpt-3-summarize.jpg” is beyond beautiful! I can relate to it. Can I please ask you to send me the HQ version of it? Thank you so much!

  2. Did you create that thru Midjourney? The pic. Oh by the way, i asked ChatGPT to scrape your site and give me an ImmediatePressRelease on your site. You wanna see it. I am blown away…Wow. Oh it’s free by the way. Haaa.

  3. Hello, great algoritm ,could you please send me the python script? Thanks!
    Or perhaps can you explain how to automate step 3? Or it is manual ctr c ctrl v.

  4. Hi Kristian I am new to this can you send me the python script and explain little bit more about the application. can i convert pdf file to txt and do this

  5. Hi Kristian, this is a fantastic piece of work. Would you be able to share with me the python script? Also, what should we modify in the script if we want the summary to be a specific length?

  6. Hello,

    I saw your videos about summarizing pdf and videos to do midjourney prompts to create stories, would it be possible to have these scripts please ?

    • Certainly! I’ve just sent you an email with all the necessary information on how to access the script for summarizing a PDF with the help of Python and GPT/AI.

    • Hello πŸ™‚ I sent you a mail with info about how to access my GPT / AI PDF Summarizer Script. Also coming a new video with PDF to Voice with the new ChatGPT API

    • Yes:) I sent you a mail with info about how to access my GPT / AI PDF Summarizer Script. Also coming a new video with PDF to Voice with the new ChatGPT API

  7. I’m curious to see what this looks like. The part about chunking the text and summarizing over the text is intriguing. For longer texts, are there cases where another layer of summarization is needed (summary of summaries)?

  8. Hi Kristian, looks like this is a winner of a tool. I’d love to have your instructions to access the summarizer script plz!

  9. Hi Kristian. This is a great post, and your Youtube channel is outstanding.
    I’d really appreciate seeing the script in more detail as well.

  10. Hi Kristian. I’m a big fan of your videos, they educational, engaging and entertaining. Please can I have the summarizer script. Thank you.

  11. Hey Kristen this sounds like an absolutely useful tool for university as they require a lot of readings to be done each week via pdfs. Could you please send me the code?

  12. I have the same request / question as most others πŸ™‚ Do you share the script? Or should we use GPT Codex to rewrite it πŸ˜‰

  13. Hi Kristian! Are you so kind to send me this amazing python script? Thank you so much!
    I think you should publish it on github, due to the success it’s having (you have a lot of people asking it!!!)

  14. Hi Kristian, appreciate if you can share your Python script with me. I am working on a project to analyse large amount of mortgage pdf files. Your script should help me on the project.

  15. Hi Kristian, I am also very interested in the python script, I want more information by mail, thank you in advance πŸ™‚

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