Multi media file wrangling microservice. Wraps various open source media tools with an HTTP/JSON interface.
Format detect and extract meta data from an uploaded binary. Backed by Apache Tika and mediainfo.
The media file should be sent as raw bytes on the request body.
curl -XPOST --data-binary "@test/resources/IMG_0004.MOV" http://localhost:9000/meta
Apply meta data tags to an image file.
title
description
created
curl -F 'tags={"title": "A title", "description": "A description", created: "2013-01-08T14:58:06.000Z"}' -F "[email protected]" localhost:9001/meta/tag > /tmp/tagged.jpg
Attempt to detect faces in the posted image. This information might be used to make an informed decision about how to crop an image. Backed by openimaj.
callback
Bounds are reported as percentages of the images width and height.
width, height, x, y
Crop an image
Scale the posted image and return it as a GIF, JPEG or PNG. The desired return image format should be specified using the Accepts header on the request. Backed by imagemagick.
width, height, rotate, fill, gravity(Center / North) callback Accepts header
Scale the posted image and return it as a GIF, JPEG or PNG. If a callback url as provided the service will return HTTP 202 Accepted and POST the processed media file back to your callback address at a later date.
The image file should be sent as raw bytes on the request body. The desired return image format should be specified using the Accepts header on the request. Backed by imagemagick.
Transcode a video.
curl -XPOST -H "Accept: video/mp4" --data-binary "@test/resources/IMG_0004.MOV" 'http://localhost:9000/video/transcode?width=800&height=600&rotate=0' --output /tmp/out.mp4
sbt clean docker:publishLocal
This microservice is available as a Docker image:
docker run -p 9001:9001 eelpie/media-monkey