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FFMPEG Video Server with web interface

FFMPEG Video Server with web interface

By: ADEO Imaging Latest Version: 1.0.0
Linux/Unix
Linux/Unix

This version has been removed and is no longer available to new customers.

Product Overview

Video transcoding is a computational task that usually requires significant computer resources and time, so a reasonable solution is to perform such tasks in the cloud on your own server.

This server based on the open-source FFMPEG converter and designed for converting video files with video correction capabilities. The main feature of this server is convenient and intuitive web interface with the ability to visually preview the expected result of applying of video filters.

The key features of this server:

  • Easy-to-use. After launching, this server is immediately fully operational. No server setup required.
  • Convenient and intuitive web interface.
  • The ability to use an external URL of the video file or previously uploaded file as the source file.
  • The input and resulting files can be packed into ZIP format with a password for safe uploading (downloading) to (from) server.
  • The ability to convert video to MP4, AVI, MKV, MOV, FLV, ASF, TS and 3GP containers using h264, h265, vp9 and AppleProRes codecs.
  • The ability to encode audio stream with AAC, MPEG and PCM codecs.
  • Optimal bit rates are set automatically or manually.
  • The ability to crop video.
  • The ability to apply filters for brightness, contrast, saturation, gamma correction and sharpness with the visual previewing of expected results.
  • The function of smoothing out jerky movements in the video by doubling the fps by inserting of an additional frame, which is calculated using the intelligent algorithm of motion detection.
  • The ability of monitoring of server resources during conversion, as well as the ability to interrupt the conversion process.
  • User control panel that allows you to create/delete user accounts.

Version

1.0.0

Operating System

Linux/Unix, Ubuntu 20-04

Delivery Methods

  • Amazon Machine Image

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Usage Information

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