The component is based on RFC1867, written for java and j2ee development zone. It uses high performance byte-search algorithm to parse the submitted request, afterward save data into the file system. also, it provides a smart resolution to resolve the encoding issue for uploading text file.

Features

  • Upload multiple files once a form submitted
  • support sub-boundary
  • supply encoding resolution for unicode text through
  • support content-type and file extension name filter
  • suport struts2
  • support limitation of uploading file size, and accurate progress during the uploading
  • aster performance, low memory occupy and high stability

Project Activity

See All Activity >

Follow fastupload

fastupload Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of fastupload!

Additional Project Details

Registered

2012-05-24