Automating Manual Data Entry Processes Using Artificial Intelligence
Docuf.AI provides an Intelligent Document Processing Solution for companies to automate their manual data entry processes with AI. Our solution will help you to convert your unstructured data into structured data that is tagged according to your needs. Using our solution is as simple as:
1. Scan and Upload Document
2. Extract Data
3. Export Data
Facing These Challenges?
High Manpower Cost
High Error Rate in Data Entry
Difficulty in Hiring and Retaining Talent
Low Productivity
Docuf.AI Intelligent Document Processing Engine
Docuf.AI Intelligent Document Processing (IDP) Engine uses state of the art Artificial Intelligence to make sense of data on documents, extract out this data and allow for companies to utilize this data. Because Docuf.AI IDP Engine is using Artificial Intelligence, it is format agnostic.
The engine is able to make sense of a wide range of document formats. On top of that, the engine learns over time and will only get better. We also understand that companies may not necessarily have the capability or resources to employ Artificial Intelligence in their automation journey.
Therefore, we have made a simple to use dashboard that works seamlessly with the engine and also have API integrations with third-party ERP (Microsoft Dynamics, etc.) and Accounting Systems (Xero, QuickBooks, etc.). Furthermore, we have our Artificial Intelligence capabilities and knowledge, we are able to customize an engine for an organization should they wish to do so.
About our solution
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus.
Reduce Cost
Using Docuf.AI to augment manpower reduces costs by up to 70%.
Decrease Error Rate
Automated data extraction from documents decreases error rate to less than 5%.
Save Time
Docuf.AI automated document verification reduces turn around time to minutes.
70%
Manpower cost reduction
Immediate
results
350%
gain in productivity
Automate Any Process, In Any Industry
Logistics
Manufacturing
Food and Beverage
Our Customers
Leading manufacturer, distributor and retailer of quality surimi-based (minced fish paste) seafood products in Singapore.
Market leader in Asia that specializes in door-to-door transportation of temperature controlled clinical trials and frozen samples since 2006.
Our Partners
Seen enough?
Contact Us to find out more.
Our Testimonials
Our Blog
What Are The Latest Automation Trends Disrupting Food & Beverage?
Automation has been disrupting various industries for some time now, and the food and beverage industry is no exception. With the advent of new technologies
Enhancing Manufacturing Efficiency through Automated Data Entry Processes
In today’s fast-paced manufacturing industry, every minute and every action counts. Time is of the essence, and errors can result in significant setbacks, especially when
Revolutionizing Your Logistics Document Processing With Automation Using IDP
The logistics industry plays a critical role in the global economy, facilitating the movement of goods and materials from one location to another. The industry
What is Name Entity Recognition (NER)?
Named Entity Recognition (NER) is a subfield of Natural Language Processing (NLP) that focuses on identifying and extracting named entities from unstructured text data. Named
How Is ChatGPT Disrupting The Market?
ChatGPT is a natural language processing model developed by OpenAI that has garnered attention for its impressive ability to generate human-like text. With its massive
Natural Language Processing in IDP
Intelligent Document Processing (IDP) is a technology that uses various Artificial Intelligence (AI) technologies, including Natural Language Processing (NLP) to automate data entry processes from
