The Complete List of Applicant Tracking Systems in 2026

Almost every job posting on the internet flows through one of about 25 Applicant Tracking Systems. Each parses resumes slightly differently, scores keywords slightly differently, and presents to recruiters slightly differently. Knowing which ATS a company uses is the difference between a 2% response rate and a 12% response rate, because you can tailor your resume to the parser.

This is the 2026 reference list. For each ATS I include: who uses it, the URL pattern that identifies it on a careers page, and the parsing quirks that affect your resume.

How to identify the ATS

Before you tailor for an ATS, identify which one. The fastest method:

1. Click "Apply" on the job posting
2. Look at the URL of the application page
3. The subdomain or path tells you the ATS

Common patterns:

• `*.greenhouse.io` → Greenhouse
• `jobs.lever.co/*` → Lever
• `*.ashbyhq.com` → Ashby
• `myworkdayjobs.com/*` → Workday
• `*.icims.com` → iCIMS
• `*.taleo.net` → Taleo
• `smartrecruiters.com` → SmartRecruiters
• `*.bamboohr.com` → BambooHR
• `jazzhr.com` → JazzHR
• `recruiterbox.com` → Recruiterbox

If the URL is the company's own domain (e.g., careers.acme.com), inspect the page source — the ATS often shows up in CSS class names or hidden form fields.

The 25 major ATSes, ranked by company prevalence

Tier 1: Used by most modern tech and mid-market companies

#### 1. Greenhouse

Used by: Stripe, Airbnb, OpenAI, dozens of YC companies, most series-B-and-up tech.

Parser characteristics:

• Strong keyword extraction (semantic + exact-match hybrid)
• Reads DOCX better than PDF; PDF is fine but has a small accuracy hit
• Handles 2-3 pages cleanly
• Strict on contact info location (top of document, plain text)

Tailoring tip: Greenhouse uses semantic similarity in scoring. Don't keyword-stuff. Use each important keyword 1-3 times in genuine context.

#### 2. Lever

Used by: Netflix, Cruise, Wiz, mid-market tech.

Parser characteristics:

• Similar to Greenhouse on parsing quality
• Good at recognizing skills sections
• Handles bulleted lists well
• Slightly weaker on multi-column layouts than Greenhouse

Tailoring tip: Lever surfaces "Skills" as a separate field in the recruiter view. Make sure your skills section is clearly labeled.

#### 3. Ashby

Used by: Anthropic, Linear, Vercel, fast-growing AI/SaaS startups.

Parser characteristics:

• Newest of the big three (Greenhouse/Lever/Ashby)
• Best AI-augmented parsing of the three
• Strong handling of links (LinkedIn, GitHub, portfolio sites parse correctly)
• Reads PDFs nearly as well as DOCX

Tailoring tip: Ashby reads links. Make sure your LinkedIn and GitHub URLs are clickable and current.

#### 4. Workday

Used by: Most Fortune 500. Banking, big-tech (post-IPO), enterprise.

Parser characteristics:

• Older parser; struggles with multi-column resumes
• Insists on auto-filled application form fields (you'll re-type your work history)
• Strong on structured data; weak on free-form bullets
• DOCX strongly preferred over PDF

Tailoring tip: For Workday, simpler resume formatting beats fancy. Single column. Plain text. Section headers in standard order.

#### 5. iCIMS

Used by: Healthcare systems (HCA, Kaiser), large retailers (Walmart, Target), legacy enterprise.

Parser characteristics:

• Variable parsing quality depending on the company's iCIMS configuration
• Some configurations require manual form-fill
• Handles standard formats; struggles with creative layouts

Tailoring tip: Conservative formatting. Plain DOCX. Single column.

Tier 2: Used widely but trending older

#### 6. Taleo (Oracle)

Used by: Many F500 companies still on legacy Oracle infrastructure. Increasingly being replaced.

Parser characteristics:

• Old. Exact-string matching, no semantic.
• Strict on file formats (DOCX strongly preferred)
• Notorious for losing formatting when parsing PDFs

Tailoring tip: For Taleo, exact keyword matching matters more than semantic. Use the JD's exact phrasing where possible.

#### 7. SmartRecruiters

Used by: Bosch, Visa, Twitch, mid-to-large enterprise.

Parser characteristics:

• Decent semantic parsing
• Good handling of multilingual resumes
• Reads PDFs reasonably

#### 8. JazzHR

Used by: SMBs and early-stage startups.

Parser characteristics:

• Lightweight; fast parsing
• Less sophisticated scoring (more recruiter-driven, less algorithmic)

#### 9. BambooHR

Used by: SMBs and HR-driven companies.

Parser characteristics:

• HR-platform first; ATS function is secondary
• Recruiter-driven workflow; less algorithmic filtering

#### 10. Workable

Used by: SMBs in Europe and US.

Parser characteristics:

• Modern parser, good semantic matching
• Handles multilingual resumes

Tier 3: Industry-specific or smaller

1. UKG (Kronos / Ultimate Software) — Hourly retail and logistics.
2. ADP Workforce Now — SMB-to-mid-market HR-platform-first.
3. Paycom — Mid-market HR-platform-first.
4. Paylocity — SMB-to-mid-market HR-platform-first.
5. Recruiterbox (now Trakstar Hire) — SMB.
6. Zoho Recruit — SMB / international.
7. Breezy HR — SMB / casual hiring.
8. JobScore — SMB.
9. ApplicantStack — SMB.
10. Recruitee — Mid-market European.

Tier 4: Healthcare- and government-specific

1. HealthcareSource (Cornerstone OnDemand) — Hospitals and health systems.
2. AvatarFleet / DriverReach — Trucking and logistics.
3. USAJobs (federal) — Federal government roles.
4. NEOGOV — State and local government.
5. PeopleSoft (Oracle) — Some legacy enterprise / public-sector.

Parsing quirks that matter across all ATSes

A few resume formatting choices break parsing in most ATSes, regardless of which one. Avoid these:

1. Two-column layouts. Greenhouse, Lever, Ashby, Workday, iCIMS all struggle. Top-to-bottom single column is universal. 2. Headers/footers. Some ATSes ignore content inside Word's "Header" and "Footer" sections. If your contact info is in a header, you might be invisible. 3. Tables. Most ATSes flatten tables in unpredictable ways. Skills sections in tables get scrambled. 4. Text in images. ATSes don't OCR. If your name is rendered as part of a header graphic, it's gone. 5. PDFs from design tools. Canva and Figma sometimes render text as outlines (vector shapes), not selectable text. ATS parsers can't read outlined text. 6. Multi-page header repetition. Some ATSes parse each page as a separate document if you repeat your name/contact on each page. Use page-1 contact only. 7. Special characters. Em-dashes (—), curly quotes ("), and bullet glyphs (▪ • ◦) sometimes break parsing. Standard hyphens and ASCII bullets are safer.

How to use this list

When you find a job posting:

1. Click "Apply" and check the URL to identify the ATS.
2. Adjust your tailoring strategy based on the ATS's quirks above.
3. For Tier 1 ATSes (Greenhouse, Lever, Ashby), prioritize semantic match — natural keyword usage in real bullets.
4. For Tier 2 (Taleo, iCIMS, older Workday), prioritize exact-string match — use the JD's exact phrasing.
5. Save as DOCX where possible; PDF as fallback.

Closing

Knowing which ATS reads your resume is a small advantage that compounds. The better you understand the parser, the more accurately you can tailor.

If you want this automated, our scanner detects the ATS from the JD URL and adjusts the scoring accordingly.

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Related reading:

• What Is an ATS Score and Why It Matters
• How to Beat ATS: 15 Tips
• Best Resume Format for ATS