Our proof of concept, on launch, outperformed a global market leader. Since then, we’ve made a range of meaningful improvements to our free CV parser – to deliver truly best-in-class performance.
The best part is, our integrated paid solution is half the price of many competitors.
Integrate AI functionality into your apps and workflows. Get your free API key, and add automated intelligence to your hiring pipeline.
Affinda’s machine-learning solution can be used to extract more than 100 fields from each résumé, organizing them into searchable file formats. Fields being extracted include:
Name, contact details, phone, email, websites, and more
Employer, job title, location, dates employed
Institution, degree, degree type, year graduated
Courses, diplomas, certificates, security clearance and more
Detailed taxonomy of skills, leveraging a best-in-class database containing over 3,000 soft and hard skills
Candidate summary and objective
Language(s) spoken
Don’t see a field that is of particular interest? Get in touch and we’ll add it to our roadmap.
Whether you’re a hiring manager, a recruiter, or an ATS or CRM provider, our deep-learning powered software can measurably improve hiring outcomes.
In a nutshell, it is a technology used to extract information from a resume or a CV.
Modern resume parsers leverage multiple AI neural networks and data science techniques to extract structured data. Typical fields being extracted relate to a candidate’s personal details, work experience, education, skills and more, to automatically create a detailed candidate profile. The extracted data can be used for a range of applications from simply populating a candidate in a CRM, to candidate screening, to full database search. These tools can be integrated into a software or platform, to provide near real time automation.
1.Automatically completing candidate profiles
Automatically populate candidate profiles, without needing to manually enter information
2.Candidate screening
Filter and screen candidates, based on the fields extracted. Sort candidates by years experience, skills, work history, highest level of education, and more. Extracted data can be used to create your very own job matching engine.
3.Database creation and search
Get more from your database. It is not uncommon for an organisation to have thousands, if not millions, of resumes in their database. Resume parsing can be used to create a structured candidate information, to transform your resume database into an easily searchable and high-value asset
Efficiency benefits, improved outcomes, better applicant experience, and more. See what benefits are relevant to you, below.
Good intelligent document processing requires a combination of technologies and approaches.
Our solution uses deep transfer learning in combination with recent open source language models, to segment, section, identify, and extract relevant fields:
You can upload PDF, .doc and .docx files to our online tool and Resume Parser API.
Affinda has the capability to process scanned resumes. We use best-in-class intelligent OCR to convert scanned resumes into digital content. This is not currently available through our free resume parser. Please get in touch if you need a professional solution that includes OCR.
All uploaded information is stored in a secure location and encrypted. You can read all the details here.
Excel (.xls), JSON, and XML.
JSON & XML are best if you are looking to integrate it into your own tracking system.
Excel (.xls) output is perfect if you’re looking for a concise list of applicants and their details to store and come back to later for analysis or future recruitment.
We can build you your own parsing tool with custom fields, specific to your industry or the role you’re sourcing. Simply get in touch here!
Biases can influence interest in candidates based on gender, age, education, appearance, or nationality. Blind hiring involves removing candidate details that may be subject to bias. This allows you to objectively focus on the important stuff—like skills, experience, related projects. Affinda has the ability to customise output to remove bias, and even amend the resumes themselves, for a bias-free screening process. We use this process internally and it has led us to the fantastic and diverse team we have today! Please get in touch if this is of interest.
We’ve limited our online tool to 25 resumes at a time, to ensure everyone using it experiences super high-speed data extraction. Interested in a solution for automated uploads with an unlimited volume limit? Simply get in touch with one of our AI experts today.
Our Online App and CV Parser API will process documents in a matter of seconds. To keep you from waiting around for larger uploads, we email you your output when it’s ready. Don’t worry though, most of the time output is delivered to you within 10 minutes. If you’re looking for a faster, integrated solution, simply get in touch with one of our AI experts.
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.