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What is Screenshot touch?
Key features available in Screenshot Touch include touch notifications, overlay icons, and the ability to shake the device for quick access. Users can record their screen in mp4 format while having the flexibility to customize various settings such as resolution, frame rate, bit rate, and audio options. For users needing to capture long web pages, there are two effective methods: either by sharing a URL through a web browser to choose Screenshot Touch or by using the in-app browser accessed via the globe icon found in the settings. To enhance their captured images, users can utilize a variety of annotation tools like pens, text boxes, rectangles, circles, and stamps, along with the capability to adjust opacity levels. Furthermore, there is a feature that allows users to share their screenshots with other applications on their device, giving them control over how and where their content is shared. Users can also designate their preferred saving directory, create optional subfolders for better organization, choose from different file formats, adjust jpeg quality settings, and set delays for captures. An optional persistent notification feature guarantees that the Screenshot Touch alert remains visible, thus improving accessibility. Moreover, the functionality to create several saving folders enables users to categorize their screenshots, simplifying the process of finding specific captures later. In summary, this extensive range of features positions Screenshot Touch as an adaptable tool for users who want to efficiently capture and manage their screen content while enjoying a high level of customization and organization.
What is OmniParser?
OmniParser is a cutting-edge approach that transforms user interface screenshots into organized components, significantly enhancing the precision of multimodal models such as GPT-4 in performing actions that correspond accurately to designated areas of the interface. This technique is particularly adept at identifying interactive icons within user interfaces and understanding the significance of various elements captured in a screenshot, thus connecting desired actions with the correct on-screen locations. To support this operation, OmniParser curates a dataset for the detection of interactable icons, consisting of 67,000 unique screenshot images, each meticulously annotated with bounding boxes around the interactable icons derived from DOM trees. In addition, it employs a collection of 7,000 icon-description pairs to fine-tune a captioning model aimed at extracting the functional meanings of the recognized elements. Evaluation against a range of benchmarks, including SeeClick, Mind2Web, and AITW, indicates that OmniParser outperforms the GPT-4V baselines, showcasing its efficacy even when relying exclusively on screenshot data without additional context. This significant progression not only boosts the interaction capabilities of AI models but also fosters the development of more seamless and intuitive user experiences across digital platforms. As a result, OmniParser stands to redefine the way users engage with technology, making interactions simpler and more efficient.
Integrations Supported
Cua
GPT-4
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
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
Screenshot touch
Company Website
mdiwebma.com
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
microsoft.github.io/OmniParser/