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What is SuperParser?

SuperParser is a cost-effective API for resume parsing, specifically created to meet the needs of contemporary HR tech platforms. This API is carefully crafted from scratch, utilizing a combination of sophisticated models to ensure accurate extraction of more than 150 different information fields from resumes. Compatible with all common resume formats, it is designed to support cutting-edge features within recruitment systems. The information extracted includes work experience, personal details, educational background (such as institutions and degrees), certifications, skills, and other pertinent information, rendering it an all-encompassing tool for recruiters. By adopting this innovative technology, companies can optimize their hiring processes and improve the assessment of candidates. Furthermore, SuperParser’s efficiency can significantly reduce the time spent on resume reviews, allowing HR teams to focus on engaging with potential hires more effectively.

What is Affinda Resume Parser?

Affinda’s AI resume parser provides one of the industry’s most advanced solutions for transforming resumes into actionable hiring insights at scale. Designed to support any file format and more than 50 languages, it accurately reads structured and unstructured resumes, even those with complex layouts or creative designs. Recruiters can instantly extract over 100 customizable data points, eliminating manual data entry and ensuring consistent, high-quality candidate profiles. The parser integrates directly into ATS, HRIS, and job board systems through robust APIs, enabling seamless downstream automation from application intake to shortlisting. Affinda also enhances recruitment pipelines with tools such as job description parsing, AI candidate search and match, resume redaction, and automated resume summaries. These capabilities allow hiring teams to accelerate sourcing, reduce bias, and dramatically improve time-to-hire. Real-world users report massive efficiency gains, such as unlocking large legacy candidate databases, identifying matches in minutes, and parsing millions of resumes annually with high accuracy. The platform’s flexible consumption-based pricing makes it ideal for HR tech providers, enterprise recruiting teams, and growing agencies alike. Enterprise-grade security underpins every workflow, meeting international standards such as ISO 27001, SOC 2, and GDPR. With instant setup, global scalability, and proven accuracy, Affinda enables organizations to streamline hiring from end to end with AI-driven precision.

Media

Media

Integrations Supported

Affinda
Bullhorn

Integrations Supported

Affinda
Bullhorn

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$800 (USD)
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

SuperParser

Company Location

United States

Company Website

www.superparser.com

Company Facts

Organization Name

Affinda

Date Founded

2013

Company Location

Australia

Company Website

affinda.com/resume-parser

Categories and 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

Categories and 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

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