Photo-Scan-Summary extracts the text within an image, and provides its summary in an efficient manner for ease of understanding, that is mainly done by reducing text to its most important sentences. It also supports a broad range of languages, along with language identification.
The web application's front-end is HTML/CSS/jQuery while the back-end is Node.js/Express. To use the application on your PC, you can clone this git repository, start the server in app.js file and then give the input from index.html.
You can find the source code at https://github.com/Shraddhaz/Photo-Scan-Summary
Firstly, clone the git repository.
git clone https://github.com/Shraddhaz/Photo-Scan-Summary
And then get all the packages required for the application by using the command:
npm install
The application is built using two APIs: Google's Cloud Vision API and SMMRY API. For this, you need to sign up and get their keys. For guidelines on how to get the key, you can refer to Get key.json for Google Vision API and Get key for SMMRY
Now, save the "key.json" achieved from Vision API in the same folder as app.js and write the SMMRY API's key in app.js file.
Start the server using,
node app.js
Now open the index.html file on your web browser and follow the guidelines given at the bottom of the page to get started with the basic steps being:
- Select Image
- Upload Image
- Press Submit
- Get the summary
- IntelliJ - Platform used
- Node.js - Back-End
- Express - Back-End
- HTML/CSS/Bootstrap/JQuery - Front-End
- Google Cloud Vision API - Text Extraction API
- SMMRY API - Summary API
Deploying this web application on a live system by hosting it on a cloud platform like AWS, Heroku or Google Cloud. This makes the web application more accessible and easy to use.
For more details you can refer to the powerpoint presentation slides from: https://github.com/Shraddhaz/Photo-Scan-Summary/blob/master/Project%20Documents/Photo-Scan-Summary.pdf
- Shraddha Zingade - Photo-Scan-Summary - https://github.com/Shraddhaz
If there are any questions regarding the project, you can contact the author at [email protected] or post your queries on https://github.com/Shraddhaz/Photo-Scan-Summary/issues
This project is licensed under Copyright © MIT License and "© Baker Theme. All Rights Reserved". Go to LICENSE for more details.
The front-end templates is taken from https://bootstrapmade.com with the theme name "Baker".
Prof. Simon Niklaus for helping me with Node and Express.