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Visio Reader presents a wide range of viewing capabilities for users to access, intricately render, and accurately showcase Visio diagrams on macOS. The tool allows for the unveiling of hidden layers, giving you the chance to examine every detail necessary, and enables the activation of Shape Data for visualizing custom attributes of objects. Diagrams are rendered with precision, reflecting the consistent themes as they originally appear in Visio®. Users can preview files designed with specific page dimensions and background pages, ensuring that object sizes are displayed in their true measurement units. The application supports text formatting that encompasses frames, tabulations, and tables. Additionally, it facilitates the previewing of drawings and stencils across an array of file formats, including but not limited to VSD, VSDX, VDX, VSDM, VDW, VSSX, VSSM, VSX, and VSS. Visio Reader is also capable of accommodating Visio files featuring metafile images such as EMF and WMF, along with embedded OLE objects. Users have the option to toggle the visibility of layers within Visio files, allowing them to concentrate on specific sections and shapes of a drawing for targeted analysis. With just a single tap, layers can be displayed or hidden, and when it comes to printing or converting Visio files to PDF, any elements from disabled layers will be excluded, resulting in a polished output that meets their specifications. This versatility not only enhances user efficiency but also preserves the design's integrity, providing a seamless experience for managing various workflows. Overall, Visio Reader is an essential tool for anyone working with Visio diagrams on macOS, ensuring a high-quality viewing experience while maintaining flexibility in design management.
What is RectLabel?
An offline image annotation tool is designed to support both object detection and segmentation tasks effectively. Users can create various shapes such as polygons, cubic bezier curves, line segments, and points for accurate labeling of images. It also enables the drawing of oriented bounding boxes, particularly useful for aerial imagery analysis. Additionally, the tool allows users to label key points that can be interconnected by skeletons and offers the capability to paint pixels using brushes or superpixels. It ensures compatibility with different machine learning formats by supporting both PASCAL VOC XML and YOLO text reading and writing. Furthermore, users have the option to export their annotated data to CreateML for object detection and image classification tasks, as well as to COCO, Labelme, YOLO, DOTA, and CSV formats. The tool accommodates diverse project requirements by enabling the export of indexed color mask images and grayscale mask images. Users can easily modify settings related to objects, attributes, hotkeys, and fast labeling features to enhance their workflow efficiency. A customizable label dialog allows for smooth integration with attributes, and one-click buttons streamline the selection of object names. With an impressive auto-suggest feature that considers over 5000 object names, users can search for objects, attributes, and image names conveniently in a gallery view. Automatic labeling is facilitated through Core ML models, and the tool includes OCR technology for automatic text recognition. It also offers features to convert videos into image frames and execute image augmentation tasks. Language support covers English, Chinese, Korean, and 11 additional languages, thus catering to a wide-ranging user base and boosting productivity across various regions.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
$14.99/one-time/user
Free Trial Offered?
Free Version
Pricing Information
Free
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
Nektony
Date Founded
2012
Company Location
Ukraine
Company Website
nektony.com
Company Facts
Organization Name
RectLabel
Company Location
United States
Company Website
rectlabel.com
Categories and Features
Productivity
Collaboration
Database Creation
Document Creation
File Sharing
Notes Management
Office Suite
Presentation Tools
Project Management
Task Management
Team Chat