Easiest Way to Convert a PDF to JSON using LangChain Output Parsers

This video tutorial demonstrates how to convert a PDF to JSON using LangChain's Output Parsers and GPT.

A task like this used to be complicated but can now be done in a few minutes thanks to the advancements in the field of AI and LLMs.

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Timeline:

00:00 Introduction
01:24 Setting up a virtual environment
02:03 Installing LangChain
02:19 Importing libraries and ingesting PDF
04:13 Defining Pydantic object with fields to extract
06:26 Using JsonOutputParser with the Pydantic object
07:03 Creating a PromptTemplate
09:28 Importing ChatOpenAI and Putting everything together
10:33 Creating and invoking the chain
12:33 Running the application

[shankar]

This is only video on pdf to json extraction. Thank you

[vshalson]

All the best Jeff, a stranger coming from reddit to support you!

[CFabzdigital]

Great insights, thanks for sharing. Excited to see what you have in store for us with your upcoming videos. Keep the awesome work.. cheers

[danielscottpoynter]

Love this. Thank you Jeff. Very clear.

[SarmadBatt]

Simple and easy to follow, thank you. I do have a question though, is there a pdf size limit to parse and process the data?

[shankar]

How to extract multiple entities from a large pdf? How to share examples while extracting.

[rc]

Hi is there any way I can do this without using an OpenAI llm

[Payton-Prescott]

GPT is great, but extraktAI is better tho imo