High-performance dynamic image server in Java
Cantaloupe is an open-source image server enabling on-demand generation of derivatives of high-resolution source images. With available operations including cropping, scaling, and rotation, it can support deep-zooming image viewers, as well as on-the-fly thumbnail generation. Compliance with the IIIF Image API enables it to work with a growing number of client applications.
Project goals include performance, scalability, and extensibility, without sacrificing ease-of-use.
Get started in minutes with no web containers or XML files to deal with. A fast web server is built right in, or deploy to a container, if you want.
One human-friendly configuration file with extensive inline help.
Self-contained for painless prototyping, deployment, and upgrading.
Drive deep-zooming image viewers, or create thumbnails for images, PDFs, and videos on-the-fly.
Use opaque image identifiers that do not reveal an underlying resource location for secure and stable URIs.
Serve images from multiple sources, with different settings, via the same application instance.
Dynamically embed custom keys in IIIF information responses.
Dynamic, selective image and textual watermarking with fine-grained controls.
On-the-fly redaction of image regions.
Built-in support for HTTPS and HTTP Basic authentication.
Supports fine-grained authorization policies for integration into diverse infrastructures.
Fully conformant to all versions of the IIIF Image API, with separate endpoints for versions 1 and 2.
Selectable resample filters, sharpening levels, and compression levels to optimize output for speed or quality.
Embedded ICC color profiles are respected.
Copy embedded EXIF, IPTC, XMP, and native metadata from source images to derivative images (with some formats).
Pluggable resolvers for retrieving images from a variety of sources—including filesystems, databases, remote web servers, cloud and object storage—with optional scriptable "hooks" to enable dynamic resolver selection and image lookup.
Pluggable processors to support a variety of source image formats—as well as still-frame extraction from videos in a variety of formats.
Pluggable caches with customizable strategies and available automatic maintenance.
RESTful methods for common management functions like purging the cache and updating the configuration.
Optimized JPEG2000 and TIFF readers capable of excellent performance with massive images.
Available filesystem, database, and cloud storage caches to speed up response times and reduce server load.