/imgsquash

Simple image compression full website code written in node, react and next.js framework. Easy to deploy as a microservice.

Primary LanguageJavaScriptMIT LicenseMIT

SUMMARY

Image compression full stack website code. Contains both api service and frontend written in node, react and next.js framework.

SCREENSHOTS

screen-one screen-two screen-three

SETTING UP GOOGLE CLOUD STORAGE

  1. Create a project on google cloud and add a free cloud storage bucket via this quickstart guide:
  2. Authenticate using either gcloud command line tool (download here) or set GOOGLE_APPLICATION_CREDENTIALS env variable with the service account file.

STARTING THE API SERVICE

  1. Create .env file in the root of the folder with the following variables.
    • API_VERSION : 1 (default)
    • GC_STORAGE : your-google-cloud-bucket-name
    • DL_BASE_URL : [YOUR-API-URL]/1/dl
  2. Do npm install to install all node modules.
  3. Do npm run dev to start the dev server on 3000 port.
  4. Do npm start for production

STARTING THE FRONTEND

  1. Do npm start to install.
  2. Do npm run dev will start the webpack server on 3001 port.
  3. Do npm build and npm start to build and use the code in production.

NOTES

  1. Following programs are used for optimization

    • mozjpeg (lossy jpeg compression)
    • jpegtran (lossless jpeg compression)
    • pngquant (lossy png compression)
    • optipng (lossless png compression)
  2. Current file size upload limit is 10MB.

  3. API Routes. [POST]

    • /image: upload image(s) via file, URL, base64 or Binary.
      • file: file or base64 or binary.
      • lossy: Boolean (default: false)
    • /url: Compression direct image url.
      • url: valid image url.
    • /zip: Accepts list of files object as an array with (id, size and name) and send the zipped result.
      • files: list of files object as an array.

    [GET] - /dl/:id: Generate download url of compressed image. Accept optional query name.

LICENSE

MIT