Find your best candidates quicker with Machine Learning

Appli ML is a simple API that enables you to resume information extraction to your application or ATS. Integration with Appli, our Applicant Tracking Software, is seamless and requires minimal setup.

Get the Information you need from a Resume Faster using Language Models like ChatGPT

Instead of skim reading 100s of resumes, trying to find the candidates with the skills and experience you need. Use Appli ML’s resume prompts to automate getting the important about each one of your candidates.

Appli ML provides a range of “data types” that can be used, so you can get the information you need in the correct format for sorting and filtering.

Send Resume Data and Your Questions

const requestOptions = {
  method: "POST",
  headers, // find required headers in docs
  body: JSON.stringify({
  "text": "Text in the resume.",
  // find question object schema in docs
  "questions": ["{question objects}"]
},
  redirect: "follow"
};

const myJobId = "123";
const myResumeId = "456";

fetch(`http://api.appliml.com/api/job/${myJobId}/resume/${myResumeId}`, requestOptions)
  .then((response) => response.text())
  .then((result) => console.log(result))
  .catch((error) => console.error(error));

Get the Results from Your Questions

const requestOptions = {
  method: "GET",
  headers, // find required headers in docs
  redirect: "follow"
};

const myJobId = "123";

fetch("http://api.appliml.com/api/resume-prompt/job/${myJobId}", requestOptions)
  .then((response) => response.text())
  .then((result) => console.log(result))
  .catch((error) => console.error(error));

Pinpoint Every Skill in an Applicant’s Resume

Extract a list of skills from each one of your applicants, by using Appli ML’s NLP models to identify skills and map them Appli ML’s Skills database or Lightcast’s Open Skills database, or both!

const requestOptions = {
  method: "GET",
  headers, // find required headers in docs
  redirect: "follow"
};

const myJobId = "123";

fetch("http://api.appliml.com/api/skill-classification/job/${myJobId}", requestOptions)
  .then((response) => response.text())
  .then((result) => console.log(result))
  .catch((error) => console.error(error));