top of page

DX using Computer Vision and NLP technologies to recognize various types of documents and extract necessary information.

CLIENT
A company involved in warehousing and inventory management.
TEAM
Frontend Developers, Backend Developers, Data scientists, AI specialists, Designer, QA specialist,  Project Manager.
INDUSTRY
Logistics
TECHNOLOGIES

AI: Python, PyTorch, TensorFlow, OpenCV, NumPy, pandas
Front End: axios, core-js, vue.js, vue-pdf, vue-router, babel-eslint, eslint 

Back End: MySQL, flask, img2pdf, dicttoxml, pdf2image

About the project

The project involved digital transformation using Computer Vision and NLP technologies to recognize various types of documents and extract necessary information.

Challenge

The client faced the challenge of using multiple document types for various business scenarios, which led to the need to digitize all paper documents and organize them based on client details.

Solution

The client collaborated with Muteki Group to develop an AI solution using Computer Vision and NLP technologies to recognize various types of documents and extract necessary information by fields.The solution aimed to convert paper documents into digital format and sort them according to client specifications. It had the ability to identify different document types and extract relevant information from specific fields, which led to a significant improvement in the accuracy and efficiency of the extraction process.

Impact

01

project was completed successfully within the designated timeline

02

achieving an accuracy rate of 87% in the text extraction process

03

the client was fully satisfied with the outcomes 

Улыбаясь бизнесмен

We are eager to apply our experience to help your business grow

Featured projects

bottom of page