Best Intelligent Document Processing Systems

Intelligent Document Processing (IDP), a form of Intelligent Automation, is a new system of data recognition and extraction from complex documents. IDP systems use traditional document scanning technology, primarily OCR software , and other machine learning tools to scan, categorize, extract, and analyze data from semi-structured or unstructured documents. IDP systems allow users to seamlessly integrate the data into workflow automations. IDP systems and RPA software are overlapping categories that involve automation of repetitive tasks...

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(1-25 of 118)

1
Square 9 Softworks

For document-intensive companies looking to improve business efficiency, Square 9 Softworks develops solutions for process automation that aim to drive increased productivity across all business applications.

2
Tipalti

Tipalti automates critical financial processes to drive efficiency, including accounts payable, mass payments, procurement, and expenses, all on one global finance automation platform that grows with the organization, automating, de-risking and simplifying finance.

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3
IBM Cloud Pak for Business Automation

IBM Cloud Pak for Automation allows the user to design, build and run automation applications and services on any cloud, using pre-integrated automation technologies and low-code tools. IBM Cloud Pak is the latest deployment option of the IBM automation platform for digital business,…

4
IBM Watson Discovery

IBM offers Watson Discovery, a natural language processing (NLP) application with options to measure sentiment, detect entities, semantic roles, and other concepts.

5
AlgoDocs
0 reviews

AlgoDocs is a web-based tool for extracting data from documents. It can capture and extract data from handwritten n…

6
SenseTask
0 reviews

SenseTask is a SaaS platform for document processing and workflow automation. It uses AI-powered Optical Char…

7
ExB
0 reviews

An Intelligent Document Processing solution for every document and workflow.

Cognitive Workbench uses deep learning algorithms and computer vision to create and train modules that can be used to understand and process any kind of document in any field or industry and in any language. With access to training databases and a multimodal AI approach, the Cognitive Workbench is a Natural Language Processing engine that can be used to automate data extraction and input management processes. Companies worldwide use Robotic Process Automation to automatically carry out internal workflows, but such systems rely on data to perform tasks. 85% of the companies still…

8
Netfira Platform

The Netfira platform has the ability to extract and interpret data from a diverse range of transactional documents. Netfira's technology goes beyond data extraction to delve into the context, nuances, and to meet specific business requirements.

9
Laserfiche

Laserfiche has two main editions: Rio and Avante: Laserfiche Rio is designed to meet the needs of large organizations that have more than 100 users. It combines content management functionality with business process management (BPM), security and auditing, unlimited servers and a…

10
Klippa

Klippa is a cloud-based accounting solution that helps…

11
Rossum
0 reviews

Rossum, from the company of the same name in London, allows businesses to automate data extraction from documents with Artificial Intelligence. The Rossum Data Capture tool allows the user to automatically capture invoice data.

12
Nanonets
0 reviews

Nanonets uses advanced OCR and Deep Learning to extract relevant information from unstructured text and documents.

Digitize documents, extract data-fields, and integrate with everyday apps via APIs. Eliminate manual processes and automate invoice, receipt, document reviews.

The vendor's value proposition:…

13
Apryse PDF SDK

The Apryse PDF SDK (formerly PDFTron) enhances software applications with dynamic document viewing, annotation, processing, and conversion capabilities, as well as features such as document understanding, data extraction, and redaction. The SDK supports PDF, Word documents, CAD drawings,…

14
iCustomsAI iDP - Intelligent Document Processing

Streamlining global trade compliance through document automation.
A solution to streamline international trade compliance processes with iCustoms featuring tailored AI models that enhance data extraction from various document types within seconds. iCustoms simplifies the customs declaration process, offering fast do…

15
Gia Docs: Intelligent Document Processing

Gia Docs AI is an intelligent document processing platform solution with human-like cognitive skills to read, learn, understand, and extract data from documents related to the Accounts Receivable, Accounts Payable, and Treasury operations.

Document processing in global finance and treasury is complicated because of the many formats, languages and document types coming from multiple external sources such as invoices, lockbox images, checks, remittance advices, bank statements etc. Gia Docs AI simplifies document data extraction, aiming to cut down up to 90% of document processing costs in AR, AP, and Treasury operations. Gia Docs AI helps to eliminate or reduce copy and pasting, with no more tedious manual data entry, and n…

16
TurboDoc
0 reviews

TurboDoc is an automated invoice processing tool offering data extraction. TurboDoc eliminates human errors caused by manual entry in invoice processing. TurboDoc is powered by an AI model trained on a large corpus of documents, to ensure accuracy.

17
Appian

Appian is a low-code development and business process management platform. It features drag-and-drop design for app building, automated work processes, unified data management, and cloud-based deployment.

18
Taggun
0 reviews

Taggun is a receipt OCR API that extracts data form receipts and invoices. Taggun's intelligent API uses Machine Learning, and enables developers to integrate into existing software. Customers who use Taggun are typically software companies who need real-time, automatic and accurate…

19
Collatio Invoice Reconciliation

Scry AI's Collatio Invoice Reconciliation is a comprehensive Accounts Payable automation product. From on-boarding vendors to paying them, the product is designed to streamline each step of the process. Collatio Invoice Reconciliation automatically extracts and reco…

20
Docparser
0 reviews

Teams can use Docparser, a SureSwift Capital brand, to extract data From PDFs, Word & Image Documents. Users can extract important data from Word, PDF and image files. Send to Excel, Google Sheets and 100’s of other formats and integrations.

21
Automation Anywhere

Automation Anywhere, headquartered in San Jose, California, offers their robotic process automation (RPA) software.

22
Mindee
0 reviews

Mindee is a horizontal and developer-centric document understanding platform that help developers and product teams build more intuitive and efficient user experiences regarding document processing.

Mindee enables users to:

  • Build UX using a 1-second-response-time synchronous API

23
Docsumo
0 reviews

Docsumo is document AI software with Intelligent OCR technology from the company in Singapore, that helps users convert unstructured documents such as pay stubs, invoices and bank statements to actionable data. Designed to work with documents in any format with minimal setup.

24
Continia Document Capture

Continia Document Capture is a solution to import, register, approve and archive complete purchase invoices and credit memos directly into Business Central. Other document types can be handled in a similar manner, and all of this happens with minimal user involvement, to save the…

25
Kanverse Intelligent Document Processing

Kanverse IDP digitizes document processing for enterprises. It intelligently classifies, captures, and extracts all data from documents entering the workflow. It then organizes the information based on business needs. The raw data is sanitized and cleansed by the system during processing.…

Learn More About Intelligent Document Processing Systems

What Is Intelligent Document Processing (IDP)?

Intelligent Document Processing (IDP), a form of Intelligent Automation, is a new system of data recognition and extraction from complex documents. IDP systems use traditional document scanning technology, primarily OCR software, and other machine learning tools to scan, categorize, extract, and analyze data from semi-structured or unstructured documents. IDP systems allow users to seamlessly integrate the data into workflow automations.

IDP System vs. RPA Software

IDP systems and RPA software are overlapping categories that involve automation of repetitive tasks. RPA software designs and employs bots to handle simple tasks, whereas an IDP system optimizes unstructured data to enhance workflows. IDP systems often complement RPA software to ensure that the highest quality data is integrated into automated workflows.

IDP System vs. OCR Software

IDP systems are in many ways an evolution of more traditional Optical Character Recognition (OCR) software. OCR software extracts text from structured electronic documents and converts the recognized text into an editable PDF or text file. IDP systems expand the core functions of OCR software by identifying and extracting data from unstructured documents, such as articles, emails, contracts, and letters. OCR software and IDP systems both eliminate the need for manual data entry. However, OCR software often requires more customization than IDP systems. IDP systems also automatically integrate the extracted data into existing workflows.

IDP System Features

IDP systems include the following identifiable features:

  • Ability to process unstructured/semi-structured data

  • Data recognition & classification

  • Automated data extraction

  • AI & machine learning tools to accelerate data analysis

  • Integrations with data management software

IDP System Comparison

When deciding if an IDP system is right for your business, consider the following factors:

  1. Document Complexity- Consider the volume of complex documents that don’t always follow a specific structure. IDP systems are ideal for businesses that process lengthy, detailed documents that do not follow a strict format.

  2. Business Size- IDP systems are often used by enterprise-level businesses that are already familiar with automated workflows.

  3. IDP system use cases- IDP systems can be implemented into workflows across a range of industries. Which existing IDP system best suits the needs of your business?

Pricing Information

You should contact specific vendors to request a demo and get a quote to determine the cost of an IDP system. The pricing usually includes an initial fee to set up the system and train users. Vendors may charge a fixed annual/monthly fee or use tiered pricing based on how many documents are uploaded into the system.


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Frequently Asked Questions

Should my business use an IDP system if we already have an OCR software?

Choosing between traditional OCR software and an IDP system largely depends on the complexity and structure of a given document. IDP systems expand on OCR software capabilities by using machine learning tools to automate data extraction from complex or unstructured documents.

Which industries are already using IDP systems?

IDP systems benefit a variety of industries, including legal, healthcare, finance, and government. Businesses that do not want to be constrained by the limitations of OCR software could benefit from purchasing an IDP system.

What’s the difference between IDP systems and Robotic Process Automation (RPA)?

RPA software is crucial for building an automated workflow and completing repetitive tasks. Although RPA software has greatly improved business efficiency, it primarily integrates data pulled from structured documents. Using an IDP system allows users to extract complex data that traditional RPA software would struggle to incorporate into workflows.

What are the benefits of using IDP systems?

IDP systems are useful for minimizing repetitive data extraction from complex documents. The application of AI and machine learning tools in IDP systems requires less customization from users and greatly improves workflow efficiency.