OmniParser

OmniParser

Microsoft
Textkernel Parser

Textkernel Parser

Textkernel
+
+

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About

OmniParser is a comprehensive method for parsing user interface screenshots into structured elements, significantly enhancing the ability of multimodal models like GPT-4 to generate actions accurately grounded in corresponding regions of the interface. It reliably identifies interactable icons within user interfaces and understands the semantics of various elements in a screenshot, associating intended actions with the correct screen regions. To achieve this, OmniParser curates an interactable icon detection dataset containing 67,000 unique screenshot images labeled with bounding boxes of interactable icons derived from DOM trees. Additionally, a collection of 7,000 icon-description pairs is used to fine-tune a caption model that extracts the functional semantics of detected elements. Evaluations on benchmarks such as SeeClick, Mind2Web, and AITW demonstrate that OmniParser outperforms GPT-4V baselines, even when using only screenshot inputs without additional information.

About

The industry's most used parsing engine for accuracy and speed. Textkernel parses 2 billion+ resumes and job postings yearly. Our market-leading Parser seamlessly integrates into HR systems. This revolution in your recruitment strategy automates the extraction, enrichment, and structuring of data from vast quantities of resumes. It’s more than data: it’s unlocking the power to swiftly filter, search, rank, and match candidates with precision and ease. Textkernel’s Parser is your opportunity to save valuable recruiter time while enhancing the accuracy of candidate selection. Parse your full potential with Textkernel. - Improve data-driven decisions - Streamline recruitment processes - Reduce bias Experience effortless integration and data processing as Textkernel’s Parser automatically captures, classifies and enriches all data from resumes and job postings easily mapped into any data model.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Researchers in need of a tool to enhance AI agents' interaction with graphical user interfaces through advanced screen parsing techniques

Audience

Recruitment agencies, Corporate HR, Software vendors

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

No images available

Pricing

No information available.
Free Version
Free Trial

Pricing

$99
Pricing: Resume and Job Parser
Parse up to 500 documents
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
Founded: 1975
United States
microsoft.github.io/OmniParser/

Company Information

Textkernel
Netherlands, United Kingdom, United States, Germany
www.textkernel.com/products-solutions/parser/

Alternatives

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Alternatives

Max Access

Max Access

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AnyParser

AnyParser

CambioML
Lightscreen

Lightscreen

Christian Kaiser

Categories

Categories

Resume Parsing Features

Automated Application Input
Automatic Updating
Customizable Macros
Data Extraction
Multi-Language
Resume Import
Resume Management
Semantic Matching
Social Media Corroboration
Sort / Filter
White Label Option

Integrations

Bullhorn
Bullhorn Connexys
Carerix
Cegid HR
Cornerstone Recruiting
Cua
GPT-4
Oracle Taleo
SAP SuccessFactors
Salesforce

Integrations

Bullhorn
Bullhorn Connexys
Carerix
Cegid HR
Cornerstone Recruiting
Cua
GPT-4
Oracle Taleo
SAP SuccessFactors
Salesforce
Claim OmniParser and update features and information
Claim OmniParser and update features and information
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