Resume parsing and matching works as a “resume search engine,” making it easy for users to search fields within a CV database and find the right candidates for each job.
Affinda’s resume matching software uses multiple neural networks working in concert according to the latest data science principles — extracting key data points from resumes, structuring that data, and searching for words and phrases specified by the user. The data we extract from a candidate profile may include their location, job qualifications, years of experience in a job role, universities and other educational institutions attended, applicable job skills, previous titles, and potentially additional keywords as well. This data can then be searched from our intuitive user interface, which is designed to be integrated and white-labelled within an existing job board, Applicant Tracking System (ATS) or Candidate Relationship Management (CRM) system.
Our talent search algorithm combines leading-edge technologies and techniques from a variety of fields. Affinda’s automated CV matching tool applies deep transfer learning to the latest open-source language models, enabling our tool to zero in on the most appropriate resumes for each search, and rank them according to relevance.
We’ve trained our machine learning model on thousands of resumes in English, as well as in a number of other languages. We use proprietary AI, developed over several years, to parse and extract key data from each resume, and assign it a ranking for the search results, leveraging Named Entity Recognition (NER) and other data science techniques.
When you integrate Affinda’s Resume Matcher with our Resume Parser, your platform or software will be able to extract and search fields from PDF files, as well as .doc and .docx file formats.
Our resume matcher and parser is highly secure, as we store all searches and uploaded data in an encrypted location, accessible only to you. See our Privacy Statement for more details on how we keep your data safe.
Let’s talk! We’ll be happy to build you a custom search tool designed for your industry and job role, which will enable you to search any fields you choose. Click here to get in touch!
Resume redaction can serve as a powerful capability to help you screen candidates exclusively on the basis of their suitability for the job role. Affinda’s Resume Redactor can be integrated seamlessly into our Resume Matcher, enabling you to redact details that may make decision makers susceptible to bias — enabling them to focus on relevant traits like job skills, experience, and successful projects. In fact, Affinda uses redaction technology for our own internal hiring process, resulting in the highly diverse and effective team we now have. If you’d like to add redaction functionality to your resume search console, let’s talk!
Each candidate search takes only a few seconds, varying slightly based on the size of our candidate database and the number of keywords searched. If you’d like to integrate a custom search solution that’s streamlined specifically for your platform or software functionality, just click here to talk to one of our AI specialists.
We’re a passionate crew of developers, data scientists and AI engineers, on a mission to bring machine learning to the masses. We believe intelligent document processing solutions should be easy, affordable, and accessible to businesses of all sizes — so that’s exactly what we build every day.
This HR technology AI model is just one of the many applications of Affinda. Our technology can be leveraged across a range of industries and applications, to automate time consuming manual processes.