Parsing API

Automatically turn your HR documents to structured data

Shorten applicants forms, improve data records and save your end-user time.

Join 1,000+ Staffing Agencies, Job boards and Large Employers

Meet the world’s most
advanced HR Data parser

We combined cutting edge Deep Computer Vision and Deep Natural Language Processing algorithms to turn even the most complex HR documents to data.

Multiple Languages

Supports 32+ languages.

State-of-the-art Recognition

A context awareness approach for a state-of-the-art data extraction.

All Extensions

Extract data from all media formats PDF, DOCX, PNG, JPEG and more.

Text Recognition (OCR)

Home-made OCR specialized in HR documents.

Image processing

Layout analysis of complex documents with Deep computer vision optimizations.

Document splitting

Automatic split of large files to multiple resumes.

Document classification

Automatic classification of documents to resumes, cover letters and other categories.

Orientation Correction

Automatic document orientation correction.

Perspective Correction

Automatic perspective correction and precision cropping.

Explore our REST API doc

Over 40+ unique data points

Detailed features
Category
Attributes
Description
Example
info
First Name
First name
Jon
info
Last Name
Last name
Doe
info
Full Name
Full name
Jon Doe
info
Phone
Phone, Mobile or Fax number
info
Location Text
Location address
7 rue 4 septembre, 75002, Paris, France
info
Location Latitude
Location latitude
48.8705093
info
Location Longitude
Location longitude
2.3314779
info
Location Geocoder
Location geocoder info
Geocoder object
info
Email
Email
contact@riminder.net
info
Birth date
Date of birth
26/11/1991
info
Driving Licence
Driving licence
permis B
experienceeducationinfo
Date Start
Starting date
2016
experienceeducationinfo
Date End
Ending date
2020
experience
Company
Company Name
HrFlow.ai
experience
Title
Job title
Data Scientist
experience
Location Text
Location address of the experience.
2627 Hanover St, Palo Alto, CA 94304, États-Unis
experience
Location Latitude
Location latitude of the experience
37.4180666
experience
Location Longitude
Location longitude of the experience.
-122.1486833
experience
Location Geocoder
Location geocoder info of the experience
Geocoder object
experience
Description
Description section of the experience
Solving unemployment with Deep Learning
education
School
School or Institution of the Education
Stanford University
education
Title
Degree
Applied Mathematics
experience
Location Text
Location address of the experience.
450 Serra Mall, Stanford, CA 94305, United States
education
Location Latitude
Location latitude of the education
11.1384724
education
Location Longitude
Location longitude of the education
-137.8396479
education
Location Geocoder
Location geocoder info of the education
Geocoder object
education
Description
Description section of the education
CS231n: Convolutional Neural Networks for Visual Recognition
skills
Hard Skills
List of hard skills
Machine Learning, C++
skills
Soft Skills
List of soft skills
Creativity, Leadership, Analysis
languages
Languages
List of languages
English, French, Chineese
interests
Languages
Interests
Chess, Football, Cinema
32+
Languages
Scale up globally
40+
Data points
Make data strategic
>96%
Accuracy
Leverage state-of-the-art AI

Trusted by HCM companies and forward-thinking HR leaders

100%
focus on interviews with candidates
100%
cut in manual processing time
Derek Chang photo
Nicolas POUCHAIN
« With real-time integrated parsing capability in our web app, we can finally handle paper resumes at career fairs while increasing our productivity and lowering our operational costs. »

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