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squeezy

Image compressor and PDF merger built with Flask

In-Memory ProcessingflaskpythonpillowRepository →

What It Does

Users upload images and PDFs. Squeezy compresses images in memory and merges PDFs, then returns a download link via a temporary UUID token.

No files are saved to disk. Everything is processed in-memory and discarded after download.

How It Works

The backend uses Flask and Pillow. The flow:

  • Client uploads an image to the Flask endpoint.
  • The server reads it into a BytesIO buffer.
  • Pillow compresses the image as progressive JPEG at quality 85.
  • The result is mapped to a UUID4 token and served as a download link. Each user gets an isolated token — no overlap between requests.

Compression can reduce file size by up to 95%. Buffers are cleared once the download completes.

Project Stats

  • Max Compression Up to 95%
  • Processing In-Memory
  • Avg. Response ~220ms
  • Status Active

DevOps & Deploy

  • Platform Render
  • Docker Image Python 3.12-Slim
  • Server Gunicorn

Stack

FlaskPillowBytesIOUUID4GunicornRender
Squeezy Image Compressor dashboardStep 1: Set target dimensions and compression ratio using sliders, then upload your file
Squeezy Images to PDF ConverterStep 2: Choose multiple files and combine them directly into a single, optimized PDF