About this software
Aspose.Imaging is a set of developer libraries and cloud APIs for programmatic image creation, manipulation, and conversion. It is available as native SDKs for .NET and Java, as well as REST-based Imaging Cloud APIs and prebuilt apps for common workflows.
Features include format conversion, resizing, cropping, filtering, watermarking, multi-frame TIFF and PSD handling, and PDF export. Documentation, code examples, and SDK packages are hosted on Aspose product pages and GitHub repositories for developer integration.
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Aspose Imaging
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€2,686.37
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Benefits
- Format support: Supports common raster and vector formats including JPEG, PNG, TIFF, PSD, and SVG
- Image transformations: Resize, crop, rotate, deskew, and apply filters programmatically
- Batch processing: Process and convert large image sets through automated APIs
- Multiple platforms: Available as .NET, Java, and REST cloud APIs
- Low-code tools: Includes browser apps and SharePoint integration for simpler workflows
Available languages
- English
- Spanish
Support information
- Documentation and guides: Comprehensive API references and how-to guides are available on Aspose product and cloud documentation sites.
- Developer forum: Community and vendor-run discussion forums host questions, troubleshooting threads, and usage examples.
- GitHub examples: Code samples and example projects for various platforms are published in Aspose GitHub repositories.
- Release notes: Product release notes and platform-specific changelogs are published on Aspose releases pages.
- Commercial licensing info: Licensing details and purchase options are documented on Aspose product and licensing pages.
Frequently asked questions
What is Aspose Imaging used for?
Aspose Imaging is a software library for programmatic image processing, enabling applications to read, write, convert, and manipulate image files.
What image operations can Aspose Imaging perform?
Common operations include format conversion, resizing, cropping, rotation, color adjustments, drawing text or shapes, watermarking, and accessing image metadata.
How can Aspose Imaging be integrated into existing applications?
Integration is done through its API or SDK so application code can invoke imaging functions within backend, desktop, or automated processing workflows.
What deployment considerations are important when using Aspose Imaging?
Consider memory and CPU usage for large images, use streaming or batch processing to minimize memory footprint, and evaluate concurrency and resource management for production use.
How are image metadata and annotations typically handled with Aspose Imaging?
Metadata and annotations can be read, modified, and embedded programmatically; workflows should explicitly preserve or update metadata when transforming or converting images.