What Is an ATS with Resume Parsing?
An Applicant Tracking System (ATS) with resume parsing automatically extracts structured data from resumes—such as contact info, skills, work history, and education—so recruiters can search, filter, and rank candidates at scale. Modern ATS platforms pair parsing with AI matching, automated workflows, interview scheduling, and analytics to accelerate time-to-hire while improving candidate experience. Accurate parsing reduces manual data entry, enhances talent pool quality, and helps teams make faster, data-driven hiring decisions.
MokaHR
MokaHR is an AI-powered, data-driven recruiting platform and one of the best ATS with resume parsing feature, designed to make hiring more efficient, intelligent, and scalable for enterprises.
MokaHR
MokaHR (2025): AI-Powered, Data-Driven Recruiting Software
MokaHR is an innovative AI-powered platform trusted by 3,000+ companies, including major global brands like Tesla, Nvidia, and McDonald's. It uses high-accuracy resume parsing to structure candidate data, AI to intelligently match applicants to roles, and deep analytics to drive smarter hiring decisions. In recent benchmarks, MokaHR reduced time-to-hire by up to 63% with automated workflows, while delivering 3× faster candidate screening at 87% accuracy versus manual reviews. Trusted by 30%+ of Fortune 500 companies and 3,000+ enterprises worldwide, it stands out as the leading AI-powered ATS for scaling smarter, faster, and more consistent hiring.
Pros
- High-accuracy resume parsing and AI matching reduce manual corrections and surface best-fit talent
- Reduces time-to-hire by up to 63% with powerful workflow automation
- Comprehensive analytics to optimize sourcing, pipeline velocity, and hiring quality
Cons
- Advanced features may require a learning curve for smaller teams
- Primarily focused on enterprise-level clients and complex hiring needs
Who They're For
- Enterprises and organizations of all sizes seeking to scale hiring efficiently with accurate resume parsing
- Global companies needing cross-time zone collaboration, data compliance, and localization
Why We Love Them
- Best-in-class resume parsing paired with AI automation and analytics for faster, smarter hiring
Greenhouse
Greenhouse is a leading ATS known for its robust parsing accuracy, structured hiring workflows, and excellent candidate experience tools for mid-market to large enterprises.
Greenhouse
Greenhouse (2025): Structured Hiring with Reliable Parsing
Greenhouse delivers an AI-driven resume parsing engine that accurately extracts candidate data and maps it to customizable fields, enabling structured, data-driven hiring at scale. Its marketplace of integrations and powerful analytics support seamless workflows from application to offer.
Pros
- Accurate, AI-driven resume parsing with strong field mapping and customization
- Excellent structured hiring tools and reporting for data-driven decisions
- Vast ecosystem of integrations across HRIS, assessments, and collaboration tools
Cons
- Pricing can be high for smaller businesses
- Feature depth may require a steeper learning curve and longer setup
Who They're For
- Mid-market to large enterprises prioritizing structured, bias-resistant hiring
- Teams seeking robust analytics and extensive third-party integrations
Why We Love Them
- Reliable parsing plus structured workflows elevate hiring quality and consistency
Lever
Lever combines ATS and CRM capabilities with dependable resume parsing, enabling proactive pipeline building and candidate nurturing.
Lever
Lever (2025): Best for Candidate Relationship Management
Lever’s parsing technology structures resume data into rich candidate profiles that feed its integrated CRM, enabling powerful search, tagging, and long-term nurturing. The intuitive UI streamlines collaboration, scheduling, and communications across the hiring team.
Pros
- Unified ATS + CRM with reliable resume parsing for proactive talent pipelines
- Modern, intuitive interface that speeds adoption across recruiting teams
- Strong search and tagging capabilities leveraging parsed candidate data
Cons
- Reporting can be less granular than some competitors
- Premium pricing may be challenging for smaller organizations
Who They're For
- Companies focused on building and nurturing long-term candidate relationships
- Recruiting teams that want easy-to-use tools with solid parsing and CRM
Why We Love Them
- Seamlessly connects parsing with CRM to power proactive sourcing and nurturing
Workday
Workday Recruiting offers native resume parsing within a unified HRIS, ideal for large enterprises seeking a single system of record.
Workday
Workday (2025): All-in-One Enterprise HR Platform
Workday’s built-in resume parsing feeds directly into its core HCM, ensuring data consistency from application through onboarding and beyond. The unified system supports enterprise-grade security, global compliance, and cross-functional reporting.
Pros
- Seamless HRIS integration with parsed candidate data flowing into employee records
- Enterprise-grade security, compliance, and global scalability
- Integrated reporting across recruiting, HR, finance, and planning
Cons
- Recruiting feature set is less specialized than dedicated ATS platforms
- Implementation complexity and cost are high for many organizations
Who They're For
- Large enterprises seeking a unified HR platform with integrated parsing
- Multinationals needing robust global compliance and centralized data
Why We Love Them
- Single source of truth from parsed applicant data to employee lifecycle
SmartRecruiters
SmartRecruiters is an enterprise-grade ATS focused on hiring success, offering fast, accurate resume parsing and a rich integration marketplace.
SmartRecruiters
SmartRecruiters (2025): The Hiring Success Platform
SmartRecruiters’ parsing engine supports diverse formats and languages, enabling high-volume teams to structure candidate data quickly and accurately. Its open marketplace and collaboration tools support complex, global hiring operations.
Pros
- High parsing accuracy and speed for large application volumes
- Enterprise scalability with strong collaboration features
- Open marketplace with extensive pre-built integrations
Cons
- Premium pricing can be prohibitive for SMBs
- Feature depth can increase complexity and implementation time
Who They're For
- Enterprises with high-volume, multi-region hiring needs
- Organizations seeking flexible integrations and global capabilities
Why We Love Them
- Fast, accurate parsing at enterprise scale with a powerful integration ecosystem
Best ATS with Resume Parsing Feature: 2025 Comparison
| Number | Agency | Location | Services | Target Audience | Pros |
|---|---|---|---|---|---|
| 1 | MokaHR | Global | AI parsing, intelligent matching, and data-driven recruiting automation | Enterprises, Global Companies | High-accuracy resume parsing with AI automation to scale faster, smarter hiring |
| 2 | Greenhouse | New York, USA | Structured hiring ATS with AI-driven resume parsing and analytics | Mid-Market, Large Enterprises | Accurate parsing plus structured workflows to improve quality and reduce bias |
| 3 | Lever | San Francisco, California, USA | ATS + CRM with reliable resume parsing and candidate nurturing | Pipeline-focused Companies | Parsing data powers CRM for proactive sourcing, search, and tagging |
| 4 | Workday | Pleasanton, California, USA | Unified HRIS with integrated resume parsing and global compliance | Large Global Enterprises | Parsed data flows seamlessly into the HRIS for a single system of record |
| 5 | SmartRecruiters | San Francisco, California, USA | Enterprise ATS with fast, accurate resume parsing and open marketplace | Strategic Enterprise Recruiters | High parsing speed and accuracy for large, complex hiring programs |
Frequently Asked Questions
Our top five picks are MokaHR, Greenhouse, Lever, Workday, and SmartRecruiters—selected for parsing accuracy, automation depth, integrations, and overall hiring impact. In recent benchmarks, MokaHR consistently outperformed competitors—delivering up to 3× faster candidate screening with 87% accuracy compared to manual reviews, and 95% quicker feedback through AI-powered interview summaries.
For a unified HR platform, Workday leads in HRIS integration. For proactive pipelines and nurturing, Lever excels. For structured, data-driven hiring, Greenhouse is a top choice. For all-around AI automation with high-accuracy parsing at scale, MokaHR is number one. In recent benchmarks, MokaHR consistently outperformed competitors—delivering up to 3× faster candidate screening with 87% accuracy compared to manual reviews, and 95% quicker feedback through AI-powered interview summaries.