Upload a PDF, DOCX or TXT job posting and TalentGraph returns the title, company, employment type, compensation, required and preferred skills, responsibilities and qualifications — with the title normalized against the O*NET occupation taxonomy, the same one used on the resume side, so roles and candidates compare on a level footing. Ready to shortlist? Send it to Talent Match →.
Try it now ↓Seen this exact posting text before? Return the structured result instantly — zero AI calls.
Regex/keyword extraction for salary ranges, employment type, remote/hybrid/onsite, and the shared skills gazetteer.
Only when local confidence is too low does it call an AI model (Gemini / OpenAI / Anthropic) to fill the gaps.
Every parsed title gets a canonical occupation, SOC code, and seniority level — always, regardless of source.
The posting is processed by the TalentGraph API running alongside this page. Only the text the local engine can't resolve is sent to the AI model. Usage shares the same per-key quota as resume parsing.
Drag & drop a job posting here
or
PDF, DOCX or TXT · max 10MB
Parsed job data will appear here.
Take a job requirement to the matching engine and get the top 10 candidates from your talent pool — each with a match score, matching and missing skills, and a full job-fit analysis.
Shares the same underlying cache/stats store as resume parsing, tracked under separate counters.
The same local-first pipeline, pointed at postings instead of CVs.
The exact-match cache answers repeat documents instantly and the local rule engine handles most of the rest. A model call is the exception, not the round trip you wait on every time.
Every AI fallback teaches the local engine new skills and headings, so the share of documents needing a model call keeps falling. Your cost per document goes down as volume goes up.
Every parsed title is normalized against the O*NET occupation taxonomy, so “SDE II” and “Backend Engineer” land in the same family and your reporting stops fragmenting.
The structured requirement is what Talent Match ranks your pool against.
Backend Engineer II (Payments) Northwind Labs — Pune (Hybrid), Full time ₹28-38 LPA We're looking for someone to own our payments services. You'll work in Python and FastAPI on high-throughput systems, and partner with the platform team on reliability. You should have 3+ years building backend services, strong SQL, and comfort with Docker. Kafka experience is a plus. B.E./B.Tech or equivalent experience.
{
"title": "Backend Engineer II",
"normalized_title": "Software Developers",
"onet_code": "15-1252.00",
"company": "Northwind Labs",
"location": "Pune",
"work_mode": "hybrid",
"employment_type": "full_time",
"compensation": { "min": 2800000,
"max": 3800000,
"currency": "INR" },
"min_experience_years": 3,
"required_skills": ["Python", "FastAPI",
"SQL", "Docker"],
"preferred_skills": ["Kafka"],
"education": "B.E./B.Tech or equivalent"
}Paste a posting, get a requirement you can match against.
1 Paste the posting text (or upload the JD file) 2 Cache lookup .................. miss 3 Local rule engine ............. title, comp, type, skills 4 Title normalized .............. O*NET 15-1252.00 5 Result badge: LOCAL · total 0.6s, zero AI calls 6 Send straight to Talent Match to rank your pool
The free tier needs no card. If you would rather see it on your real requisition load first, we will walk through it with you.