A Java Spring Boot based Resume Parser API using GATE library.
Works well with any type of CV (PDF, HTML, DOC, DOCX, RTF, TXT) or LinkedIn Profile Document. Can extract all types of useful information correctly in English.
mvn clean install
After successful build process, Resume_Parser.jar will be generated in /target repo.
Copy the GATEFiles and JAPEGrammars dir from root dir of this repo to /target.
Note: Wherever "Resume Parser.jar" is present, make sure GATEFiles and JAPEGrammars directories are also present.
curl --request POST 'https://localhost:8081/upload' \
--header 'Content-Type: multipart/form-data' \
--form 'resume=@/<PATH_TO RESUME_IN_PDF_HTML_RTF>'{
"status": 200,
"data": {
"title":"",
"gender":"",
"name":{
"first":"Aditya",
"middle":"",
"last":"Kumar"
},
"email":[
],
"address":[
],
"phone":[
],
"url":[
],
"work_experience":[
{
"date_start":"",
"jobtitle":"",
"organization":"",
"date_end":"",
"text":""
},
{
"<section_title>":""
}
],
"skills":[
{
"<section_title_from_resume>":"text"
}
],
"education_and_training":[
{
"<section_title_from_resume>":"text"
}
],
"accomplishments":[
{
"<section_title_from_resume>":"text"
}
],
"awards":[
{
"<section_title_from_resume>":"text"
}
],
"credibility":[
{
"<section_title_from_resume>":"text"
}
],
"extracurricular":[
{
"<section_title_from_resume>":"text"
}
],
"misc":[
{
"<section_title_from_resume>":"text"
}
]
},
"message": "Successfully parsed Resume!"
}- GATE (https://gate.ac.uk/) - Open source language processing framework.