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Software Status:Active

About Job Description Parser

Job Description Parser is a parsing software from Affinda that extracts precise data from job descriptions. It combines machine learning capabilities, support for over 100 data fields, and swift data extraction so users can efficiently match job descriptions with resumes. This software automates the hiring process, allowing recruiters to focus on selecting the best candidates. Users can smoothly integrate the parser into their existing systems to improve data accuracy and speed. Key capabilities: data extraction machine learning resume matching automation support integration options Best for: recruiters and hiring managers that need to efficiently process job descriptions and match them with candidate resumes.

Job Description Parser Details

Vendor
Affinda
Year Launched
2012
Location
Melbourne, VIC 3000, AU
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Japanese, Portuguese, Chinese, Italian, Russian, Dutch
Users
Recruiters, Human Resources Professionals, Hiring Managers.
Industries Served
Healthcare, Education, Finance, Retail, Manufacturing, Technology
Tags
Data Extraction, Job Description Parser

Job Description Parser's In-App Market Place

Does Job Description Parser have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Eur(€), Gbp(£), Aud(A$), Cad(C$), Jpy(¥), Chf (chf), Cny(¥), Inr(₹), Rub(₽), Brl(R$), Mxn(M$), Ils(₪), Krw(₩), Try(₺), Zar(R)

Pros & Cons

  • AI-driven parsing leads to precise data extraction, even with new or varied formats.
  • Automates a manual, time-consuming process, significantly speeding up data entry and database creation.
  • Efficiently handles bulk processing, making it suitable for organizations with high volumes of job descriptions.
  • Offers a developer-friendly API and specific integrations like Bullhorn for seamless workflow adoption.
  • Eliminates the need for manual data entry, freeing up recruiters for more strategic tasks.
  • Requires developers to integrate via API, which might be a hurdle for non-technical users without dedicated IT support.
  • While user-friendly, utilizing all advanced features, especially within a complex recruitment ecosystem, might require some initial learning.
  • the text doesn't explicitly state the degree to which users can customize the fields extracted or the output format beyond "structured data."
  • While it offers a free trial, detailed pricing structures are not outlined, which could be a con for budget planning.

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