Hirize Resume Parser:
Deep-Learning AI and Incredible Accuracy

A resume parser or job parser read, analyze, and extract data. It extracts job titles, skills, education history, contact information, and other data using NLP. The parsed data is structured for searchability. This system reduces human labor and improves recruiting decision accuracy and timeliness.

The Hirize resume parser goes beyond text parsing. It extracts talents, expertise, and contact information using NLP and ML. Unlike other solutions, Hirize can interpret intent, meaning it can identify skills, experience, and education from resumes without relying on specific keywords. 

The Hirize Resume Parsing API efficiently converts resumes into structured formats. The API can process resumes in many languages and extract information using advanced NLP, OCR (Optical Character Recognition), and ML algorithms. The API structures information in a downloadable format (such as XML or JSON). 

Hirize Resume Parsing API setup is simple. Create a Hirize account and a custom plan. The Hirize dashboard helps you onboarding in 4 easy steps, once you set up your account you can create an API key, if needed the API  guide walks you through integrating the API into your application. 

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It is important to note that the API supports multiple file formats including PDFs, DOCX, TXT, and HTML5 as well as image files like PNG or JPG.

Our API is designed for anyone to easily integrate into their existing systems and processes. The API features intuitive and user-friendly tools that make parsing data easy, so regardless of your technical background, you can take advantage of the powerful capabilities that our API offers.

It only takes a few clicks to integrate the Hirize Resume Parsing API into a job board or app. First, sign up and generate an API key. Copy your API key and paste it into your website or app code. In the dashboard, you can connect by programming language or with tools such as Zapier, Bubble, and Make. Next, you can specify which data you want to extract from the files, which can also be found in the dashboard.