Recruiters and hiring teams handle large volumes of resumes across roles, locations, and hiring cycles. Manually extracting candidate details from resumes slows down screening, increases errors, and creates inconsistencies across recruitment workflows. Resume parsing software solves this problem by converting resumes into structured, searchable data that integrates directly with Applicant Tracking Systems and HR platforms.
Resume parsing software is a foundational capability inside modern ATS platforms used by recruiters and staffing agencies to manage high-volume hiring efficiently.
For organizations hiring in the United States, United Kingdom, Canada, and Brazil, selecting the right resume parsing solution involves more than basic accuracy. Multilingual resume support, regional compliance requirements, ATS compatibility, and scalability across teams are critical factors that directly impact hiring efficiency and candidate experience.
This guide covers the 12 best resume parsing software tools in 2026, highlighting how each performs in real-world recruitment environments. Whether you are part of an enterprise HR team, a staffing agency, or a growing company, this comparison will help you identify tools that reduce screening time, improve data quality, and support compliant hiring at scale.
The field of recruitment is broad and encompasses several specialties. Recruiters have a lot of balls to juggle. They also have a hard job because they are under pressure from both applicants seeking feedback and hiring managers seeking to fill positions.
Resume parsing tools extract data from resumes (PDFs, Word docs, etc.) and auto-populate fields in Applicant Tracking Systems (ATS) or HR databases. They eliminate manual data entry, reduce bias, and speed up shortlisting. Advanced tools now use AI to rank candidates, predict cultural fit, and even engage applicants via chatbots. For global teams, features like multi-language support (e.g., Portuguese for Brazil) and compliance with local regulations (GDPR, LGPD, PIPEDA) are non-negotiable.
Key Features to Look For in a Resume Parsing Software
AI & Machine Learning: Enhances parsing accuracy and offers predictive analytics.
Multi-Language Support: Critical for Brazil (Portuguese) and Canada (French/English).
Regional Compliance: GDPR (UK), LGPD (Brazil), PIPEDA (Canada).
Integration: Compatibility with ATS like Workday or Greenhouse.
Candidate Experience: Mobile-friendly applications and chatbot support.
Many recruiters and candidates also underestimate how resume formatting impacts parsing accuracy. Applicant Tracking Systems often reject or misread resumes due to structure and keyword issues.
Who Should Use Resume Parsing Software?
Resume parsing software is used by a wide range of organizations involved in hiring and talent acquisition. Enterprise HR teams rely on parsing tools to process thousands of applications efficiently, while staffing agencies use them to build searchable candidate databases across multiple clients.
Small and mid-sized businesses benefit from resume parsing by reducing manual data entry and improving screening consistency, especially when hiring remotely or across regions. For global teams, parsing tools that support multiple languages and local compliance standards are essential.
Choosing the right solution depends on hiring volume, ATS integration needs, regional regulations, and whether the organization prioritizes speed, accuracy, or advanced AI-driven insights.
Resume parsing software is often used as part of a broader recruitment technology stack. Staffing agencies, in particular, benefit from applicant tracking systems that combine parsing, candidate management, and client workflows. If you’re evaluating solutions specifically for agency hiring models, you may also want to explore our guide on Best ATS for Staffing Agencies.
12 Best Resume Parsing Software Tools
1. Greenhouse (USA & Global)
Overview: A top ATS in the US, Greenhouse offers robust parsing via its “Candidate Profiles” feature, which auto-extracts skills, education, and work history.
AI Features: Integrates with AI tools like XOR for chatbot engagement and bias reduction.
Why It Stands Out: Customizable workflows suit tech, healthcare, and finance sectors.
Best For: Enterprises in the USA and UK needing scalability.
2. Workday Recruiting (USA, Canada)
Overview: Workday’s cloud-based ATS uses machine learning to parse resumes and match candidates to job requirements.
AI Features: Predictive analytics to forecast hiring needs and candidate success.
Compliance: Adheres to PIPEDA (Canada) and OFCCP (USA).
Best For: Mid-sized to large firms in regulated industries.
3. Gupy (Brazil)
Overview: Brazil’s homegrown HR tech star supports Portuguese resumes and offers video interviews.
AI Features: AI-driven candidate scoring and chatbot (Gupy Chat) for instant engagement.
Why It Stands Out: Tailored for Brazil’s LGPD compliance and local job boards.
Best For: Brazilian companies scaling recruitment in LATAM.
4. Lever (USA, UK, Canada)
Overview: Lever’s ATS + CRM combo includes resume parsing and AI-powered candidate rediscovery.
AI Features: “Lever Talent Intelligence” suggests forgotten candidates from your database.
Compliance: GDPR-ready for UK/EU roles.
Best For: High-volume tech hiring in competitive markets.
5. SAP SuccessFactors (Global)
Overview: SAP’s HR suite includes AI resume parsing and global compliance tools.
AI Features: Skills ontology and diversity hiring analytics.
Languages: Supports 30+ languages, including Portuguese.
Best For: Multinationals in Brazil or Canada needing localization.
6. HireVue (USA, UK)
Overview: HireVue combines video interviews with AI resume parsing and assessments.
AI Features: NLP analyzes speech and text for soft skills.
Compliance: GDPR and EEOC compliant.
Best For: Roles requiring cultural fit (e.g., customer service in the UK).
7. Zoho Recruit (USA, Brazil)
Overview: Zoho’s affordable ATS offers parsing, AI job matching, and multilingual support.
AI Features: “Zia Intelligence” suggests job description improvements.
Why It Stands Out: Portuguese interface for Brazilian teams.
Best For: SMBs in emerging markets like Brazil.
8 . Sovren Resume Parser (Global)
Overview: Sovren is a deep-learning-powered parser focused on accuracy and compliance. It’s ideal for parsing resumes into structured data for ATS, HRIS, or analytics platforms.
AI Features:
Bias Detection: Flags gendered language or age-related terms in resumes.
Semantic Search: Finds candidates based on contextual skills, not just keywords.
Why It Stands Out: GDPR, LGPD, and PIPEDA compliance out-of-the-box, with military-grade data encryption.
Languages: Portuguese, Spanish, French, and English.
Best For: Companies in Brazil and Canada needing bulletproof data security.
9. Manatal ATS (Global)
Overview: A rising AI-powered ATS with resume parsing and social media enrichment.
AI Features: Candidate scoring based on LinkedIn and resume data.
Languages: Supports Portuguese, Spanish, and French.
Best For: Brazilian startups and remote teams.
10. BambooHR Applicant Tracking (USA, Canada)
Overview: Known for SMBs, BambooHR offers simple parsing and onboarding.
AI Features: Basic automation for sorting applications.
Why It Stands Out: User-friendly and affordable for small teams.
Best For: Canadian SMEs and US nonprofits.
What is BambooHR?
BambooHR is a user-friendly, cloud-based HR software designed for small to mid-sized businesses. It offers resume parsing, applicant tracking, employee onboarding, and HR data management, with a focus on simplicity and compliance (e.g., PIPEDA in Canada, OFCCP in the USA). Ideal for SMBs and nonprofits seeking affordable, intuitive HR tools.
11. Daxtra Parser (USA, UK, Global)
Overview: Daxtra is a dedicated resume/CV parsing tool trusted by staffing giants and enterprises. It uses NLP and AI to extract data from resumes in 50+ languages, including complex fields like skills, certifications, and job titles.
AI Features:
Contextual analysis to resolve ambiguities (e.g., “Java” as programming language vs. coffee).
Machine learning improves accuracy with regional resume formats (e.g., UK CVs vs. US resumes).
Why It Stands Out: Unmatched multilingual support, including Portuguese for Brazil and French for Canada.
Compliance: GDPR (UK), OFCCP (USA), and LGPD (Brazil).
Best For: Global staffing agencies and enterprises parsing 10,000+ resumes monthly.
12. RChilli Parser (USA, Canada, Brazil)
Overview: RChilli is a market-leading resume parsing API integrated with 150+ ATS/CRM platforms. It excels at parsing structured and unstructured data, even from scanned documents.
AI Features:
Skill-to-Job Matching: AI ranks candidates based on job descriptions.
Data Enrichment: Auto-fills missing candidate info using LinkedIn and other sources.
Why It Stands Out: Supports 30+ languages, including Portuguese (Brazil) and French (Canada), with 99% parsing accuracy.
Compliance: LGPD, PIPEDA, GDPR, and EEOC.
Best For: High-volume recruiters in tech, healthcare, and Brazil’s booming fintech sector.
AI in Resume Parsing Software: Beyond Data Extraction
Modern tools leverage AI to:
Reduce Bias: Hide demographic data during initial screening.
Predict Performance: Match resumes to high-performing employee profiles.
Engage Candidates: Chatbots answer FAQs and schedule interviews (e.g., XOR, Olivia).
FAQs on Resume Parsing Software
Q1: Can resume parsing tools handle Portuguese resumes?
Yes! Gupy, SAP SuccessFactors, and Zoho Recruit support Portuguese.
Q2: How does AI improve resume parsing?
AI reduces errors in parsing complex formats and predicts candidate success.
Q3: Which tool is best for Brazilian startups?
Gupy or Manatal for affordability and LGPD compliance.
Q4: Do resume parsing tools work with Applicant Tracking Systems?
A: Yes. Most resume parsing tools are designed to integrate with Applicant Tracking Systems or HR platforms. They automatically extract resume data and populate ATS fields, reducing manual entry and improving screening consistency.
Q5: Are resume parsing tools useful for staffing agencies?
A: Resume parsing tools are especially valuable for staffing agencies that manage large candidate databases across multiple clients. Parsing helps agencies search, match, and reuse candidate profiles efficiently while maintaining structured and compliant records.
Final Thoughts
The right resume parsing tool depends on your region, industry, and company size. AI-driven tools like HireVue and Greenhouse lead in the US/UK, while Gupy dominates Brazil. Always prioritize compliance and localization to stay competitive.
By choosing software that aligns with your market’s needs, you’ll transform recruitment from a chore into a strategic advantage.
