https://github.com/austonianai/pdf-to-json
Convert your PDFs to custom JSON data using AI.
https://github.com/austonianai/pdf-to-json
gpt-3 json json-converter nextjs openai pdf pdf-converter react typescript
Last synced: 6 months ago
JSON representation
Convert your PDFs to custom JSON data using AI.
- Host: GitHub
- URL: https://github.com/austonianai/pdf-to-json
- Owner: AustonianAI
- Created: 2023-03-13T16:45:21.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2024-04-18T21:11:56.000Z (over 1 year ago)
- Last Synced: 2024-04-18T22:24:27.038Z (over 1 year ago)
- Topics: gpt-3, json, json-converter, nextjs, openai, pdf, pdf-converter, react, typescript
- Language: TypeScript
- Homepage: https://www.jsonify.org
- Size: 237 KB
- Stars: 27
- Watchers: 2
- Forks: 4
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
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README
# GPT-3 & Next.js - JSONify a PDF - Convert PDFs into JSON data with your own custom schema.
Working with PDFs can be a huge drag. With AI, we can take PDFs and extract custom JSON data which make them much easier to work with.
Check out a [live deployment of this app at jsonify.org](https://www.jsonify.org/).
Tech stack includes Next.js, Tailwind, OpenAI, and Typescript. Note that this app does not use LangChain, Pinecone, or even GPT-4 (it is using the GPT-3.5 model). While you would likely want to consider these on a more robust app, the purpose of this app is to simply demonstrate the "JSONification of a PDF" process.
[Get in touch via twitter if you have questions](https://twitter.com/AustinAI)
## Development
1. Clone the repo
```
git clone https://github.com/AustonianTX/pdf-to-json.git
```
2. Install packages
```
npm install
```
3. Set up your `.env` file
- Create a `.env` file, and add your OpenAI API key
```
OPENAI_API_KEY=
```
- Visit [openai](https://help.openai.com/en/articles/4936850-where-do-i-find-my-secret-api-key) to retrieve API keys and insert into your `.env` file.
## Run the app
One you have installed the dependenies, you can run the app using `npm run dev` to launch the local dev environment. From there you can define a schema, upload your PDF file(s), and parse them into JSON.
## Troubleshooting
In general, keep an eye out in the `issues` and `discussions` section of this repo for solutions.
## Credit
The frontend of this repo was built with [Austin Taylor](https://github.com/austin-triiistudio) at the Austin AI X Foundation Capital hackathon.