Parse resumes and jobs fast, more accurate
Parse resumes with Generative AI and LLM technology
A parsing solution that empowers you to streamline your recruitment process and make informed hiring decisions.
✅ Unparalleled Speed and Accuracy: We parse over 2 billion resumes and job postings annually with unparalleled speed and accuracy, ensuring you don’t miss a single qualified candidate.
✅ Multilingual Mastery: Extract and enrich data from extensive resumes in 29 languages and job postings in 9 languages, expanding your talent pool worldwide.
✅ Precision-Driven Candidate Matching: Swiftly filter, search, rank, and match candidates with pinpoint accuracy, eliminating time-consuming manual processes and enhancing your hiring efficiency.
Why choose Textkernel’s parser?
As a seamless part of your ATS, CRM, or career portal, the Parser extracts data from resumes and job postings much faster than a seasoned recruiter and transfer structured data to your system at a fraction of the cost.
0.5 Seconds
parsing speed
2+ Billion
resume and job parsing
1st Vendor
of LLM-based parsing solutions
60% HRTech
trust our parsing solutions
LLM Parser
Unparalleled Speed and Accuracy
Textkernel’s LLM Parser, fueled by Deep Learning, proprietary taxonomies, two decades of parsing experience, and ChatGPT’s natural language understanding, marks a significant leap forward in parsing technology, outperforming its competitors.
Document conversion: Using industry-standard solutions we convert input documents to text (for parsing) and HTML (for display). Combined with Textkernel’s Deep Learning engine that detects column layouts and document structure, we ensure that the LLM engine receives well-formatted text as input.
Parsing: parse key data points using GPT-3.5 using fine-tuned prompts Normalization: normalize the extract data, enriched with mappings to taxonomies related to job titles, skills, education levels to standards like O*NET and ISCO
Inference: Our algorithms accurately compute additional metadata, such as the most recent use of a skill.
Output: Maintains the same JSON structure as our standard parser.
