Also known as .ora
OpenRaster is a file format proposed for the common exchange of layered images between raster graphics editors. It is meant as a replacement for later versions of the Adobe PSD format. OpenRaster is still in development and so far is supported by a few programs. The default file extension for OpenRaster files is ".ora".
via Wikipedia infobox
Welcome to OpenRaster.org — Open Raster Specification version 0.0.6
openraster.org →OpenRaster is file format specification for the exchange of layered raster images between image editors. OpenRaster was proposed in 2006 by Boudewijn Rempt and Cyrille Berger . OpenRaster is an intentionally simple file format, similar to the Open Document file format: a zip file with an xml document describing the layer structure and a png image for each raster layer or an svg image for each vector layer.
~4 min read
OpenRaster is a file format proposed for the common exchange of layered images between raster graphics editors. It is meant as a replacement for later versions of the Adobe PSD format. OpenRaster is still in development and so far is supported by a few programs. The default file extension for OpenRaster files is ".ora".
==Background== The Adobe Photoshop PSD file format was widely used as a cross-application file format for layered images. Adobe allowed this by releasing the format's specifications publicly. In 2006 Adobe changed this license to only grant access to and use of the specifications and documentation "for the purposes of internally developing Developer Programs in connection with Adobe Software products and incorporating portions or all of the Sample Code into Developer Programs." In response to these restrictions, the OpenRaster format was proposed by KDE and Krita developers Boudewijn Rempt and Cyrille Berger at the first Libre Graphics Meeting at Lyon, France in the spring of 2006 and is drawn from the Open Document Format.
Excerpt from a page describing this subject · 3,558 chars · not written by Vinony
via Wikidata · CC0
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).