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Description

DotImage accommodates a wide variety of file formats, such as TIFF, PDF, DICOM, JPEG2000, JBIG2, and Microsoft Office formats including Word, Excel, and PowerPoint. Users have the capability to edit, insert, rearrange, delete, and rotate pages, while also enhancing documents through functions like binarization, deskewing, and despeckling. The software features Touch Support and Adaptive Scaling for optimal mobile viewing, allowing users to upload files via drag and drop or by selection. Additionally, a Thumbnail viewer is integrated, facilitating easy page viewing and rearrangement. DotImage also offers functionality to convert images from any supported format directly into PDF files. With the included PDF Reader add-on, users can view and edit PDFs, seamlessly convert them to various image formats, and combine or split PDF documents. The software allows for reading and writing of PDF metadata and bookmarks, provides PDF annotation capabilities, supports in-browser PDF Form Fill, and is compatible with both PDF/A and password-protected encrypted PDFs. Moreover, users can incorporate OCR technology to generate Searchable PDFs, enhancing the utility and accessibility of their documents. This comprehensive feature set makes DotImage a versatile tool for document management and editing.

Description

Scikit-image is an extensive suite of algorithms designed for image processing tasks. It is provided at no cost and without restrictions. Our commitment to quality is reflected in our peer-reviewed code, developed by a dedicated community of volunteers. This library offers a flexible array of image processing functionalities in Python. The development process is highly collaborative, with contributions from anyone interested in enhancing the library. Scikit-image strives to serve as the definitive library for scientific image analysis within the Python ecosystem. We focus on ease of use and straightforward installation to facilitate adoption. Moreover, we are judicious about incorporating new dependencies, sometimes removing existing ones or making them optional based on necessity. Each function in our API comes with comprehensive docstrings that clearly define expected inputs and outputs. Furthermore, arguments that share conceptual similarities are consistently named and positioned within function signatures. Our test coverage is nearly 100%, and every piece of code is scrutinized by at least two core developers prior to its integration into the library, ensuring robust quality control. Overall, scikit-image is committed to fostering a rich environment for scientific image analysis and ongoing community engagement.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Akira AI
Cython
Label Studio
MLReef
PostgresML
Python
Visual Studio
Yamak.ai
Yandex Data Proc
ZenML

Integrations

Akira AI
Cython
Label Studio
MLReef
PostgresML
Python
Visual Studio
Yamak.ai
Yandex Data Proc
ZenML

Pricing Details

$3,000 one-time payment
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Atalasoft

Founded

2000

Country

United States

Website

www.atalasoft.com/Products/DotImage

Vendor Details

Company Name

scikit-image

Country

United States

Website

scikit-image.org

Product Features

Product Features

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