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What is Manna Manuscript?

The Manna Manuscript Management System (MMS) is a state-of-the-art AI-based platform designed to streamline every aspect of the manuscript workflow, starting from the initial submission and peer review to the final publication stages. Specifically crafted for academic publishers, journals, and conferences, it integrates all editorial functions, reviewer management, and research integrity tools into one secure and user-friendly interface. MMS offers customizable workflows, options for blind and double-blind peer reviews, adaptable assessment forms, automated notifications, and user role-based access control. With comprehensive real-time dashboards, editors can effectively assign reviewers, supervise revisions, make informed decisions, and monitor progress. Moreover, the platform includes advanced tools for identifying AI-generated content, conducting plagiarism checks with configurable thresholds, validating citations and references, integrating DOIs, converting documents to JATS XML format, exporting metadata, and delivering in-depth analytics for performance tracking. This extensive array of features is crafted to enhance the overall manuscript management process, significantly boosting both productivity and quality in the realm of academic publishing. As a result, MMS stands out as an indispensable asset for effective scholarly communication.

What is Imagetwin?

In different types of visuals, such as microscopy images, light photography, and western blots, we often encounter instances of inappropriate duplication and manipulation. Imagetwin acts as a powerful resource in the peer-review framework, automatically identifying various integrity issues that can be quickly checked by reviewers. A significant number of scholarly articles reveal image-related concerns, including manipulation and plagiarism. While tools for automated text plagiarism detection are now widely used, there has been a notable absence of similar solutions aimed at ensuring image integrity until Imagetwin's introduction. The process of manually verifying images for these issues is not only labor-intensive and expensive but is also hindered by a lack of qualified personnel, resulting in numerous integrity concerns being overlooked. By integrating Imagetwin into the review process, publishers could greatly improve the efficiency and accuracy of image evaluations in academic research, ultimately fostering a more trustworthy scientific community. Moreover, the adoption of this technology may encourage more rigorous standards in image representation across various disciplines.

Media

No images available

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

$19
Free Trial Offered?
Free Version

Pricing Information

€25 one-time payment
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Manna Analytics Private Limited

Date Founded

2025

Company Location

India

Company Website

mannasoftware.com

Company Facts

Organization Name

Imagetwin

Date Founded

2022

Company Location

Austria

Company Website

imagetwin.ai

Categories and Features

Categories and Features

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