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What is PDF Viewer Pro?

PDF Viewer is a versatile application compatible with iPad, iPhone, Mac, and Android devices, offering an extensive array of features such as annotations, digital forms, signatures, document editing, and sharing capabilities, all for free. Whether you are working independently or collaborating with others, this app significantly boosts your efficiency by facilitating smooth reading, reviewing, annotating, and searching through PDF files. Your essential documents will always be at your fingertips, simplifying the process of preparing for meetings, evaluating proposals, or perusing recent offers. PDF Viewer makes it incredibly easy to annotate your PDFs; you can effortlessly highlight text, add notes, create freehand drawings, and insert images. After you finish your annotations, the process of sharing or printing your documents remains uncomplicated, allowing for a seamless workflow. You can select from a wide range of annotation types, including highlighting, drawing, and adding comments or images, ensuring that your documents reflect your individual style. Furthermore, the annotation inspector feature provides you with the ability to quickly adjust the appearance of your annotations, giving you complete authority over how your notes and highlights are presented. This level of customization and ease of use solidifies PDF Viewer as an essential resource for anyone who regularly interacts with PDF documents, enhancing both personal and professional productivity. Ultimately, its user-friendly interface and robust functionalities make it a go-to choice for managing PDFs effectively.

What is LabelFort?

LabelFort, an all-encompassing data annotation platform created by Predusk AI, caters specifically to AI teams that need their training data to adhere to strict audit requirements. This innovative platform harnesses AI pre-labeling to streamline repetitive tasks, while one of the five available quality assurance workflows—ranging from single pass to double-blind reviews—guarantees that each entry is ultimately confirmed by a human. Each dataset concludes with a comprehensive evidence pack, which contains versioned pre-labels, a secure log that tracks the labeling, review, and approval processes, along with inter-annotator agreement metrics, all in accordance with compliance frameworks such as the EU AI Act, HIPAA, GDPR, SOC 2, and DPDP documentation. Users can annotate various data types—including images, videos, text, audio, LiDAR, DICOM, documents, and RLHF—utilizing a cohesive platform that features an annotation canvas, ontology and form builder, QA console, audit log viewer, model registry, and dataset management tools. With eight unique user roles that provide tailored routing and access protocols, teams can either operate the platform autonomously or enhance their capabilities by consulting with a trained domain specialist team through the Hire a Team service. This effective combination of automated AI processes and human validation ensures the integrity and quality of the data throughout the annotation process, supporting compliance and quality assurance in a robust manner. Additionally, the platform is continuously updated to incorporate user feedback, further enhancing its usability and effectiveness for diverse annotation needs.

Media

Media

No images available

Integrations Supported

iCloud

Integrations Supported

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Android
iPhone
iPad
Chromebook

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Online Training

Company Facts

Organization Name

PSPDFKit

Date Founded

2010

Company Location

Germany

Company Website

pdfviewer.io

Company Facts

Organization Name

Predusk Technology Private Limited

Date Founded

2014

Company Location

India

Company Website

labelfort.ai/

Categories and Features

PDF Readers

Not specified

Categories and Features

Data Annotation

Not specified

Data Labeling

Not specified

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