Corel PHOTO-PAINT Reviews & Ratings

Corel PHOTO-PAINT

5.0 out of 5 stars

Ratings and Reviews 1 Rating

Total 5 out of 5 stars
ease 4 out of 5 stars
features 5 out of 5 stars
design 4 out of 5 stars
support 4 out of 5 stars

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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What is Corel PHOTO-PAINT?

The versatile, non-destructive layer-based editing system streamlines the management of multiple images and components, fostering a more adaptable workflow. With its advanced retouching and restoration capabilities, you can easily clone, sharpen, and remove red-eye, dust, and scratches from your photos. Whether you're modifying existing images or creating new ones, a wide selection of drawing and painting tools, including lines, shapes, and various brush strokes, are readily available to you. Incorporating text and a range of creative effects into your photos is made simple with flexible typography tools. By harnessing the power of machine learning technology, you can quickly enhance the dimensions and quality of your images. Both automatic and manual methods make color and tone adjustments effortless, ensuring that you achieve the desired look with ease. The extensive collection of effects filters in Corel PHOTO-PAINT allows for the seamless application of diverse transformations, such as bokeh and sepia tones. In the end, you can create stunning images while enjoying exceptional control, which reflects our ongoing dedication to a non-destructive, contextual, and real-time editing experience that brings your creative ideas to life. This rich assortment of features guarantees a smooth editing journey for users of all skill levels, making it an ideal choice for anyone looking to elevate their visual projects.

What is Bokeh?

Bokeh streamlines the creation of standard visualizations while also catering to specific and unique needs. It provides users the ability to share plots, dashboards, and applications either on web platforms or directly within Jupyter notebooks. The Python ecosystem is rich with a variety of powerful analytical tools, such as NumPy, Scipy, Pandas, Dask, Scikit-Learn, and OpenCV, among many others. Featuring an extensive array of widgets, plotting options, and user interface events that activate real Python callbacks, the Bokeh server is essential for linking these tools to dynamic and interactive visualizations displayed in web browsers. Moreover, the Microscopium initiative, led by researchers at Monash University, harnesses Bokeh's interactive features to assist scientists in uncovering new functionalities of genes or drugs by allowing them to explore extensive image datasets. Another significant tool in this ecosystem is Panel, which focuses on producing polished data presentations and operates on the Bokeh server, enjoying support from Anaconda. Panel simplifies the process of building custom interactive web applications and dashboards by effortlessly connecting user-defined widgets to a variety of components, including plots, images, tables, or text. This seamless integration not only enhances the overall user experience but also cultivates an atmosphere that promotes effective data-driven decision-making and thorough exploration of complex datasets. Ultimately, the combination of these tools empowers users to engage with their data in innovative and meaningful ways.

Media

Media

Integrations Supported

Integrations Supported

Google Maps
JavaScript
Python

API Availability

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

Windows
Mac

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Alludo

Company Location

Canada

Company Website

www.coreldraw.com/en/pages/photo-paint/

Company Facts

Organization Name

Bokeh

Company Website

bokeh.org

Categories and Features

Drawing

Not specified

Graphic Design

Not specified

Photo Editing

Not specified

Categories and Features

Component Libraries

Not specified

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