Skip to content
Home » mign Co., Ltd. Released “readin” (beta version), which uses generation AI to convert paper invoices into d ata (OCR) and create new documents using past data.

mign Co., Ltd. Released “readin” (beta version), which uses generation AI to convert paper invoices into d ata (OCR) and create new documents using past data.

[mign Co., Ltd.]
Released “readin” (beta version), which uses generation AI to convert paper invoices into data (OCR) and create new documents using past data.
*mign Co., Ltd.*
Press release: July 7, 2024
**
Released “readin” (beta version), which uses generation AI to convert paper invoices into data (OCR) and create new documents using past data.
*We will release “readin”, which uses generation AI to digitize paper invoices (OCR) and create new documents using past data. You can easily refer to past items, unit prices, quantities, etc. *

mign | Tokyo, New York, Hong Kong | Representative Director
In June 2024, Masahiro Shima will launch “readin”, which uses generation AI to convert paper invoices into data (OCR) and create new documents using past data. Release. It is expected to reduce the time and effort required to manage data such as invoices and refer to and search for materials.
Demo video
https://www.mign.io/products/EvKuyX
Upload an image of your invoice, etc.

When you enter an item, similar data is extracted from past data.

■ Background
In the real estate and construction fields, many transactions such as invoices are still done on paper. Additionally, there is the problem that it takes time to refer to past billing details if they are not neatly digitized.
readin is expected to convert paper information into data using OCR, reducing the hassle of data management such as invoices and
referencing and searching past data when creating new documents. ■ How to use the solution
1. Upload an image of your invoice, etc. It is converted into data using image recognition (OCR).
2. Manually enter the parts that could not be recognized or the parts that are incorrect and save.
3. Check past documents when necessary.
4.You can refer to past data when creating new documents. When you enter an item, similar data will be extracted from past data (if you enter “wood”, you will be able to find out how many customers, quantities, amounts, etc., of data that include timber-related content in the item from past documents). ).
■ Fees
・Please see the service site (URL of the demo video above) for details.

・Fees are charged on a monthly basis.
・You can choose between credit card and bank transfer as payment method. ・Refund will be given if you cancel within 2 weeks (2-week trial is available). ・The Enterprise Plan utilizes this technology to provide a system that flexibly responds to your needs. Estimates can be easily simulated. ■ Areas targeted by this solution
Real estate/construction
■ Those interested in investment
We are constantly considering fundraising, so if you are a VC or business company interested in investing, please contact us here. https://forms.gle/U5cCqusDKq6TMV5G7
■ Company profile
mign Co., Ltd. aims to create the cities and society of the future, and is working on the world’s first and industry’s first software and hardware development using cutting-edge technology.
https://www.mign.io/

*About details about this release*
https://prtimes.jp/main/html/rd/p/000000055.000100410.html

*Download press release materials*
https://prtimes.jp/im/action.php?run=html&page=releaseimage&company_id=100410&release_id=55




Copyright © PR TIMES Corporation All Rights Reserved.