Average Ratings 10 Ratings

Total
ease
features
design
support

Average Ratings 0 Ratings

Total
ease
features
design
support

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Description

Affinda’s next-generation resume parser empowers HR teams, staffing firms, and recruiting platforms with lightning-fast, highly accurate candidate data extraction. Its AI automatically reads resumes of any layout, structure, or language, producing clean and reliable data in seconds. By extracting 100+ fields—from skills and certifications to employment history and seniority—it ensures recruiters can shortlist qualified talent faster and with greater confidence. The platform integrates easily with applicant tracking systems, job boards, and HR tech solutions through a flexible API and plug-and-play architecture. Affinda goes beyond basic parsing by offering a complete recruitment automation suite, including job description parsing, semantic search and match, resume redaction, and auto-generated summaries. This tool enhances candidate experience through faster processing while significantly improving accuracy for hiring teams. Built with enterprise-grade privacy and security, Affinda meets ISO 27001, SOC 2, and GDPR standards, ensuring compliance for global businesses. With affordable, scalable pricing and a free trial, teams can start enhancing their hiring process immediately without committing upfront.

Description

OmniParser serves as an advanced technique for converting user interface screenshots into structured components, which notably improves the accuracy of multimodal models like GPT-4 in executing actions that are properly aligned with specific areas of the interface. This method excels in detecting interactive icons within user interfaces and comprehending the meanings of different elements present in a screenshot, thereby linking intended actions to the appropriate screen locations. To facilitate this process, OmniParser assembles a dataset for interactable icon detection that includes 67,000 distinct screenshot images, each annotated with bounding boxes around interactable icons sourced from DOM trees. Furthermore, it utilizes a set of 7,000 pairs of icons and their descriptions to refine a captioning model tasked with extracting the functional semantics of the identified elements. Comparative assessments on various benchmarks, including SeeClick, Mind2Web, and AITW, reveal that OmniParser surpasses the performance of GPT-4V baselines, demonstrating its effectiveness even when relying solely on screenshot inputs without supplementary context. This advancement not only enhances the interaction capabilities of AI models but also paves the way for more intuitive user experiences across digital interfaces.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Affinda
Bullhorn
Cua
GPT-4

Integrations

Affinda
Bullhorn
Cua
GPT-4

Pricing Details

$800 (USD)
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Affinda

Founded

2013

Country

Australia

Website

affinda.com/resume-parser

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

microsoft.github.io/OmniParser/

Product Features

Resume Parsing

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

Product Features

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