Use our full set of products to fill more roles, faster. Built using VEGA, our powerful Document AI Engine.
Save hours on invoice processing every week
Intelligent Candidate Matching & Ranking AI
Extract Job Descriptions as Clean Data
Remove Bias in Hiring
We called up our existing customers and ask them why they chose us. Below are their top answers…
Affinda consistently comes out ahead in competitive tests against other systems
With Affinda, you can spend less without sacrificing quality
We respond quickly to emails, take feedback, and adapt our product accordingly
More powerful and more efficient means more accurate and more affordable.
Affinda’s machine learning software uses NLP (Natural Language Processing) to extract more than 100 fields from each resume, organizing them into searchable file formats. Fields 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
With a dedicated in-house legal team, we have years of experience in navigating Enterprise procurement processes.
This reduces headaches and means you can get started more quickly.
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
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
Affinda serves a wide variety of teams: Applicant Tracking Systems (ATS), Internal Recruitment Teams, HR Technology Platforms, Niche Staffing Services, and Job Boards – ranging from tiny startups all the way through to large Enterprises and Government Agencies.
Affinda can process résumés in eleven languages— English, Spanish, Italian, French, German, Portuguese, Russian, Turkish, Polish, Indonesian, and Hindi.
Good intelligent document processing – be it invoices or résumés – 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:
We use image-based object detection and proprietary algorithms developed over several years to segment and understand the document, to identify correct reading order, and ideal segmentation.
The structural information is then embedded in downstream sequence taggers which perform Named Entity Recognition (NER) to extract key fields.
Each document section is handled by a separate neural network.
Post-processing of fields to clean up location data, phone numbers and more.
Comprehensive skills matching using semantic matching and other data science techniques
To ensure optimal performance, all our models are trained on our database of thousands of English language resumes.
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.
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.
Whether you’re a hiring manager, a recruiter, or an ATS or CRM provider, our deep learning powered software can measurably improve hiring outcomes.