Affinda Features

Allow suppliers to submit invoices using an online portal

Deliver a central repository of AP documents, such as POs and invoices

Ability to match AP invoices to POs, contracts, or payments

Identify incomplete or late supplier payments

Include workflows for approvals and invoice processing

Comply with local and global tax regulations for collections

Provide integration with accounting and financial management software

Integrate with payment gateways and enterprise payments software

Deliver integrations with accounting modules of ERP systems

Detects and prevents a wide range of duplicate payments

Supports Microsoft Windows operating system

Supports macOS operating system

Supports Linux operating system

Supports a variety of file types (E.g. DOC, XLS, PPT, PDF, JPG, PS, TIFF, etc.)

Processes data from unstructured and semistructured data sources

Provides AI and machine learning tools to accelerate data analysis

Provides image enhancement before processing (E.g. rotation, image cropping, removing noise, enhancing contrast, etc.)

Integrates with other applications to support document storage, document management, process automation and/or workflow management

Supports the conversion of uploaded documents to other file types

Supports operations on both Windows and Mac

Allows the user to process documents in various formats such as PDF, DOCX, and JPEG.

Gives user the ability to convert different types of documents into machine-readable text using Optical Character Recognition (OCR).

Enables the user to identify and extract specific entities like names, dates, and addresses from documents.

Gives user the ability to categorize sections of text within the document based on preset criteria.

Provides the user with the capability to validate the extracted data for accuracy.

Enables the user to process multiple documents in a single batch operation.

Gives user the ability to connect to automation technology, such as robotic process automation (RPA).

Enables users to search through the content of processed documents easily.

Gives user the ability to train custom machine learning models for specific data extraction tasks.

Provides the user with the ability to analyze the sentiment expressed in the textual content of the document.

Provides the user with the ability to integrate the IDP system into other applications through APIs.

Ensures that all data processed is encrypted for security.

Capability to perform complex tasks without constant human input

Capability to perform complex tasks without constant human input