What is Docuf.AI IDP Engine?

Docuf.AI 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, Globe3) and Accounting Systems (Xero, QuickBooks). 

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.

Docuf.AI Benefits

Docuf.AI provides the following benefits:

  • Solution does not require a fixed template
  • Able to achieve near 100% accuracy with AI model training
  • Easy integration with third party systems via our API
  • Intuitive web application to use
  • Reduce manpower cost by using solution to augment existing
  • Reduce human error rates
  • Increase productivity

Case Studies

Logistics Service Provider

AI OCR Solution to Automate Document Processing

Logistics service provider processes documents like commercial invoices, airway bills, bill of ladings, packing lists.

Their customers come from a wide range of industries. The information from these documents need to go into a freight forwarding system.


  • Each customer has their own format of invoice
  • Manual process of keying in data from documents into system
  • Onboarding and training takes a long time

Solution Deployed

  • Documents are uploaded into Al OCR
  • Al OCR automatically labels data in the documents
  • Solution is used via web application accessed through browser as well as an API to plug into the enterprise system
  • Extracted data is output in either Excel or JSON


  • Reduced processing time
  • Decreases human error rate

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