Resume Recognition

With Optical Character Recognition and Text mining using Conventional

Neural Network and Recurrent Neural Network

Time Saver Accurate Easy to MangeAutomatic Process

in single click

RobustAdd new features

• Resume recognition saves your time and give you all resume related data in to a single file with key-

value pairs.

• You can apply filter in your excel sheet and shortlist your candidate in very less minute.

• You can upload your resumes in our website and model will generate organized report for you in a

single click.

• You can use this data for resume processing dashboard and analysed your Resume data in less

time.

• Time saver

• Accurate

• Easy to manage

• You can generate the report in single click (Automation Process).

Why we Need Resume Recognition

Scanned Image

Word Document

Batch of Input Dataset All key-value pairs from Input Dataset into one output data

file and dashboard

Download Visualization

Download Structure

OCRPattern Recognition

and ExtractionStructured Data in

Tabular Format

Scanned PDF

Model Architecture

Input Dataset

Digit Recognition

Word Recognition

Special character

Recognition

Image of the documents

Sub-image of

the documents

Binary Conversion

Neural Network

Recognize Character

Text Documents

Optical Character Recognition

Text DocumentsText

Preprocessing

Feature recognition and

extraction

Classification of features

Optimization of features

Output in Key-value pairs

Neural Network

NLP Neural Network

Pattern Recognition and Extraction

Input Sample

OCR Output

Model Output

Candidate General History

Candidate Work History