The Highest-Rated Tool for Intelligently Processing Unstructured Documents

Switch from unstructured document chaos to clean data tables with 95%+ accuracy. Choose from the top intelligent document processing software in 2025. 

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Take a Spin Around Docsumo’s IDP Platform

Businesses Do Extraordinary Things With Docsumo

$100 Million

Saved in processing costs

3.4 Million

Work hours saved

20 Million

Documents processed

95%+

Straight-through processing achieved

2025’s Best IDP Software Ranked

Document AI
Textract
Document AI
Vantage
Document Understanding
Document Automation

Overview

G2 Rating
4.7 (55 reviews)
4.4 (24 reviews)
4.2 (36 reviews)
4.4 (10 reviews)
4.6 (14 reviews)
4.5 (5,491 reviews)
Target Market Segments
Mid-Market + Enterprise
Enterprise
Enterprise
Enterprise
Enterprise
Enterprise
Pricing
Starts at $0.3 per page
Starts at $1.5 per 1000 pages
Starts at $1.5 per 1000 pages
Starts at $169 per month
Starts at $420 per month
Starts at $750 per month
Free Trial

Key Features

Pre-Processing

OCR
Auto-Split
Auto-Classification

Data Extraction & Review

Active Document Type Folder View
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Data Table Viewer
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Pre-Trained Models
100+ pre-trained models for varied document types and industry-specific use cases.
15+ pre-trained models that cater to invoices, loan applications, and identity documents.
15+ specialized pre-trained models with support in multiple languages.
Limited set of pre-trained models for invoices and regulatory documents supporting multiple global languages.
40+ specialized pre-trained models with support in multiple languages.
10+ pre-trained models with support in multiple languages.
Training Custom Models
Ability to train the AI+ML model on your custom document type with just 10 documents.
Requires AWS expertise and complex to set up for non-technical users.
Customization can be complex.
Requires heavy IT team support to train the NLP-led model and customization is very complex.
Setup and customization can be complex.
Setup and customization can be complex.
Document Reviewer
Premium review screen experience with customizable fields.
Clean and easy-to-use UI with the option to customize fields.
Clean and easy-to-use UI with the option to customize fields.
Overwhelming review screen experience. Has a steep learning curve.
Overwhelming review screen experience. Has a steep learning curve.
Overwhelming review screen experience. Has a steep learning curve.
GenAI Document Summarizer
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Data Extraction from Large PDFs
Accurate data capture from large documents with 50+ pages.
Takes a long time to batch process from larger documents.
Allows specification of number of pages to batch process, but takes a long time.
Lengthy processing time to capture data from large documents.
The ML Extractor has a 2-page and 4MB size limit.
Lengthy processing time to capture data from large documents.
Duplicate File Detection
Accuracy
95-99%
93%
93%
82%
90%
90%

Import & Export

API Access
Webhooks Access
Custom Integrations
10+ third-party apps available for integration.
Complex to set up.
Complex to set up.
10+ third-party apps available for integration.
Complex to set up.
15+ third-party apps available for integration.

Data Validation

Custom Formulae
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Post-Processing with Custom Code
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Master Data
Lookup
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Analytics

Document Processing Dashboard
Detailed reporting dashboard with usage, accuracy and time-savings data.
No dashboard.
No dashboard.
No dashboard.
No dashboard.
Basic dashboard functionality.
Auto-Categorization
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Workflow

Assign Users for Review
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Support

Dedicated Account Manager
1:1 consultation with a dedicated automation expert.
Comes at an additional cost.
Comes at an additional cost.
Comes at an additional cost.
Comes at an additional cost.
Available only in the premium-tier plans and above.

Docsumo

Docsumo leverages advanced Intelligent Document Processing (IDP) technology to transform unstructured invoice data into structured, machine-readable formats. Docsumo offers a robust solution for operations and technology teams seeking to automate their document workflows.

Key features -

  • AI-powered data extraction for complex documents (invoices, bank statements, contracts).
  • Excel-like data tables to view & analyze captured data. 
  • Multiple input methods: emails, APIs, cloud drives, local uploads.
  • Customizable validation rules for accurate data and seamless integration.
  • Pre-trained AI models with options for custom training on specific datasets.
  • Intuitive, user-friendly interface for reduced manual efforts and errors.
  • Streamlines document workflows, improves accuracy and cuts processing time.

Things to consider -

According to user reviews, no significant limitations have been reported regarding Docsumo's performance.

Pricing -

Dosumo’s pricing model is divided into Free, Growth, and Enterprise plans. The Free plan offers a free trial, which includes 100 pages per month. The price per page for the Growth plan starts at $0.3.

Amazon Textract

Amazon Textract is a machine learning (ML) IDP service that automatically extracts text, handwriting, layout elements, and data from scanned documents. Unlike basic OCR, it can identify, interpret, and retrieve specific data from documents.

Key features -

  • Automatically detects and extracts printed and handwritten text from documents.
  • Identifies and extracts key-value pairs, preserving context-like fields and their values.
  • Extracts table data while maintaining the structure of rows and columns.
  • Recognizes layout elements like paragraphs, titles, and headers for better document understanding.
  • Allows query-based extraction, retrieving specific data using natural language queries.

Things to consider -

  • Accuracy for handwritten documents can be low, requiring manual intervention.
  • Service can be expensive, especially for large-scale document processing.
  • Limited language support is available.

Pricing -

Amazon Textract offers a pay-as-you-go pricing model. Rates vary based on the specific API used and the number of pages processed. The basic plan for 1,000 pages begins at $1.50 per page.

Google Document AI

Google Document AI extracts structured data from documents, allowing for efficient analysis, search, and storage. The Document AI suite includes pre-trained models for data extraction, the Document AI Workbench for creating custom models or enhancing existing ones, and the Document AI Warehouse for searching and storing documents.

Key features -

  • Transforms scanned images and PDFs into searchable, editable text with OCR.
  • Extracts key-value pairs and table data from structured forms.
  • Categorizes documents using machine learning for efficient organization.

Things to consider -

  • Some documentation is outdated or ambiguous, with limited code examples for various use cases.
  • Instructions for training models are unclear, especially for non-technical users.
  • Multilingual support is minimal.
  • Data extraction from PDFs can sometimes be inaccurate, requiring manual retraining.

Pricing -

Google Document AI offers a pay-as-you-go pricing model. Basic OCR starts at $1.50 per 1,000 pages, with additional costs for more advanced features that come with the different processors. 

ABBYY Vantage

ABBYY Vantage is an intelligent document processing tool that is praised for its efficiency in digitizing, editing, and managing PDFs, Word documents, and scanned files. It offers a graphical interface that allows users to scan documents, import them, and apply OCR to them.

Key features -

  • Utilizes AI-powered OCR for highly accurate text recognition.
  • Supports a wide range of document formats.
  • Comprehensive tools for editing and managing PDFs.
  • Designed to meet the needs of both businesses and individual users.

Things to consider -

  • Some advanced features may have a steeper learning curve for users.
  • The pricing can be higher compared to more basic OCR solutions.

Pricing -

ABBYY offers two plans for the FlexiCapture solution, catering to businesses and individuals. The pricing for their Individual plan begins at $34.50/year for Mac devices and $49.50/year for Windows users. 

UiPath Document Understanding

UiPath Document Understanding is an IDP solution that seamlessly integrates with UiPath's broader RPA platform. It offers advanced capabilities for automating document-centric workflows.

Key features -

  • Combines OCR, computer vision, and machine learning for intelligent document processing.
  • Supports various document types, including invoices, receipts, and contracts.
  • Offers pre-built models and the ability to train custom models for specific document types.
  • Integrates with UiPath's RPA tools for end-to-end process automation.

Things to consider -

  • Requires familiarity with UiPath's RPA ecosystem for optimal use.
  • Has a steeper learning curve for organizations new to RPA.

Pricing -

UiPath offers a tiered pricing model with options for businesses of all sizes. The Document Understanding software starts at $420/month for a Pro license.

Automation Anywhere Document Automation

Automation Anywhere Document Automation leverages AI and machine learning to extract, process, and analyze data from various document formats. It integrates with Automation Anywhere's intelligent automation platform.

Key features -

  • Uses AI-powered OCR and natural language processing for accurate data extraction.
  • Offers pre-built bot templates for everyday document processing tasks.
  • Provides a no-code interface for creating custom document processing workflows.
  • Seamlessly integrates with other Automation Anywhere products for comprehensive automation.

Things to consider -

  • Primarily designed for use within the Automation Anywhere ecosystem.
  • Requires additional configuration for highly specialized document types.

Pricing -

Automation Anywhere offers their Cloud Starter Pack at $750/month and custom pricing for more advanced features and enterprise solutions.

The Best OCR Software of 2025 Ranked

Docsumo

Docsumo is an AI-powered OCR software tailored for technology teams looking to get clean data tables from their documents.

Key features -

  • AI-powered data extraction for complex documents (invoices, bank statements, contracts).
  • Multiple input methods: emails, APIs, cloud drives, local uploads.
  • Customizable validation rules for accurate data and seamless integration.
  • Pre-trained AI models with options for custom training on specific datasets.
  • Intuitive, user-friendly interface for reduced manual efforts and errors.
  • Streamlines document workflows, improves accuracy and cuts processing time.

Things to consider -

According to user reviews, no significant limitations have been reported regarding Docsumo's performance.

Pricing -

Dosumo’s pricing model is divided into Free, Growth, and Enterprise plans. The Free plan offers a free trial, which includes 100 pages per month. The price per page for the Growth plan starts at $0.3.

Amazon Textract

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, layout elements, and data from scanned documents. Unlike basic OCR, it can identify, interpret, and retrieve specific data from documents.

Key features -

  • Automatically detects and extracts printed and handwritten text from documents.
  • Identifies and extracts key-value pairs, preserving context-like fields and their values.
  • Extracts table data while maintaining the structure of rows and columns.
  • Recognizes layout elements like paragraphs, titles, and headers for better document understanding.
  • Allows query-based extraction, retrieving specific data using natural language queries.

Things to consider -

  • Accuracy for handwritten documents can be low, requiring manual intervention.
  • Service can be expensive, especially for large-scale document processing.
  • Limited language support is available.

Pricing -

Amazon Textract offers a pay-as-you-go pricing model, with rates varying based on the specific API used and the number of pages processed. The basic plan for 1,000 pages begins from $1.50 per page.

Google Document AI

Google Document AI extracts structured data from documents, allowing for efficient analysis, search, and storage. The Document AI suite includes pre-trained models for data extraction, the Document AI Workbench for creating custom models or enhancing existing ones, and the Document AI Warehouse for searching and storing documents.

Key features -

  • Transforms scanned images and PDFs into searchable, editable text with OCR.
  • Extracts key-value pairs and table data from structured forms.
  • Categorizes documents using machine learning for efficient organization.

Things to consider -

  • Some documentation is outdated or ambiguous, with limited code examples for various use cases.
  • Instructions for training models are unclear, especially for non-technical users.
  • Multilingual support is minimal.
  • MultilinData extraction from PDFs can sometimes be inaccurate, requiring manual retraining.gual support is minimal.

Pricing -

Google Doc AI offers a pay-as-you-go pricing model. Basic OCR starts at $1.50 per 1,000 pages, with additional costs for more advanced features that come with the different processors.

ABBYY FlexiCapture

ABBYY FlexiCapture is a highly advanced OCR tool praised for its efficiency in digitizing, editing, and managing PDFs, Word documents, and scanned files. It offers a graphical interface that allows users to scan documents, import them, and apply OCR to them.

Key features -

  • Utilizes AI-powered OCR for highly accurate text recognition.
  • Supports a wide range of document formats.
  • Comprehensive tools for editing and managing PDFs.

Things to consider -

  • Some advanced features may have a steeper learning curve for users.
  • The pricing can be higher compared to more basic OCR solutions.

Pricing -

ABBYY offers two different plans for the FlexiCapture solution, catering to businesses and individuals. The pricing for their Individual plan begins at $34.50/year for Mac devices and $49.50/year for Windows users.

Rossum

Rossum is an AI-powered document processing platform designed to automate data extraction for accounts payable, customs, order management, and quality assurance use cases. It offers a customizable solution with high accuracy and minimal setup, which is ideal for businesses seeking to streamline transactional workflows.

Key features -

  • AI-powered document processing with a focus on invoices and purchase orders.
  • Customizable AI models with minimal training required.
  • Human-in-the-loop capabilities for validation and review.
  • Seamless integration with ERP systems like SAP and Oracle.

Things to consider -

  • Primarily focused on transactional documents; less flexibility for other types.
  • Requires some setup and training for custom workflows.

Pricing -

Rossum segments its custom pricing model into four categories based on volume and specific use cases - Starter, Business, Enterprise, and Ultimate. The Starter plan starts at $1,500 per month.

Nanonets

Nanonets provides a no-code AI platform for document automation, featuring pre-trained models for 300+ document types. It aims to offer scalable solutions for businesses looking to enhance document processing with minimal customization​.

Key features -

  • Customizable no-code platform for training AI models.
  • Fast deployment of the solution.
  • Integrates easily with ERP systems like QuickBooks and Salesforce.

Things to consider -

  • Limited advanced AI and ML features compared to more robust platforms like Docsumo.
  • Some users report the need for further model customization for unique document types.

Pricing -

Nanonets has a pay-as-you-go pricing based on usage and offers three plans - Starter, Pro, and Enterprise. The price per page for the Starter plan begins at $0.3 based on the complexity of the document.

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The Five-step Architecture Behind an Intelligent Document Processing Solution

Seamless Integration with Upstream Storage

  • Supported Platforms: Integrate with AWS S3, Google Drive, Dropbox, SharePoint, or other cloud storage solutions via secure API connections.
  • Trigger Configuration: Use event-driven architecture (e.g., AWS Lambda or webhook listeners) to monitor designated paths or folders and drive custom document process automation.
  • Authentication: Leverage OAuth 2.0 for secure access and Single Sign-On (SSO) for enterprise-grade integration.

Automated Document Transfer and Pre-Processing

  • Transfer Mechanism: Files are pulled from storage using REST APIs or batch-processing scripts.
  • Pre-Processing Tasks:
  1. Image Quality Enhancement: Auto-adjust brightness, contrast, sharpness, and correct orientation using Computer Vision techniques.
  2. Noise Removal: Apply filters for background noise and skew correction.
  3. Document Standardization: Normalize file formats (e.g., convert PDFs, TIFFs to OCR-compatible images).

AI-Powered Data Extraction

  • OCR + Vision Models:
  1. OCR Engine: Employ a hybrid approach, using traditional OCR (e.g., Tesseract) combined with Vision Transformer (ViT) models to improve text recognition in structured and unstructured formats.
  2. Multi-Modal Extraction: Process text and embedded visual elements like tables, charts, and handwritten annotations.
  • Machine Learning Enhancements:
  1. LLMs: Use transformer-based models (e.g., GPT, BERT) for context-aware text processing and field extraction.
  2. Proprietary Models: Train on domain-specific datasets to accurately predict field values (e.g., invoice totals, and seller names).
  • Validation Rules: Apply dynamic validation logic, cross-referencing extracted fields against master data (e.g., accounting databases, vendor directories), to ensure accuracy.

Automated Field Mapping and Model Training

  • Dynamic Format Management: Map extracted fields to user-defined JSON/CSV/XML templates using rule-based algorithms or AI-based auto-mapping for flexibility.
  • Batch Processing: Handle multiple documents concurrently via parallel processing pipelines for seamless document process automation (e.g., using frameworks like Apache Kafka or RabbitMQ).

Direct Export to Downstream Systems

  • Integration Options:
  1. Direct API integration with ERP (e.g., SAP, Oracle NetSuite) or CRM (e.g., Salesforce, HubSpot) systems.
  2. Support export formats such as CSV, Excel, JSON, or XML for custom document ingestion workflows.

How IDP Tools Perform in Diverse Scenarios

For Images

  • Advanced OCR techniques: Utilizes convolutional neural networks (CNNs) for image preprocessing and feature extraction.
  • Image enhancement: Applies adaptive thresholding, deskewing, and noise reduction algorithms to improve image quality.
  • Character segmentation: Uses connected component analysis and contour detection for isolating individual characters.
  • Deep learning models: Employs architectures like LSTM (Long Short-Term Memory) networks for sequence-to-sequence learning in text recognition.
  • Post-processing: Implements language models and lexicon-based correction for improving OCR accuracy.

For Structured Documents

  • Layout matching: Uses computer vision algorithms to identify document layout and field positions.
  • Zonal OCR: Applies targeted OCR to predefined regions for efficient data extraction.
  • Rule-based parsing: Implements regex patterns and business rules for data validation and extraction.
  • Machine learning classifiers: Utilizes SVM (Support Vector Machines) or Random Forests for field classification.

For Unstructured Documents

  • Natural Language Processing (NLP): Applies techniques like tokenization, part-of-speech tagging, and named entity recognition.
  • Semantic analysis: Uses word embeddings (e.g., Word2Vec, BERT) to understand context and relationships between words.
  • Information extraction: Implements conditional random fields (CRFs) or bidirectional LSTMs for entity extraction.
  • Topic modeling: Utilizes Latent Dirichlet Allocation (LDA) or more advanced transformer-based models for content categorization.

For Handwritten Documents

  • Specialized HTR models: Employs recurrent neural networks (RNNs) with attention mechanisms for sequence-to-sequence learning.
  • Data augmentation: Generates synthetic handwriting samples to improve model robustness.
  • Transfer learning: Adapts pre-trained models on large handwriting datasets to specific use cases.
  • Online and offline recognition: Supports real-time (stroke-based) and image-based handwriting recognition.

For Tables

  • Table detection: Uses deep learning models like Mask R-CNN for identifying table structures within documents.
  • Cell segmentation: Applies image processing techniques like Hough transform for detecting table lines and cell boundaries.
  • Logical structure recognition: Implements graph-based algorithms to understand relationships between table cells.
  • Data extraction and normalization: Uses rule-based systems or machine learning models to interpret and standardize cell contents.

For Documents Over 20 Pages Long

  • Document segmentation: Applies hierarchical clustering algorithms to break down long documents into logical sections.
  • Distributed processing: Utilizes parallel computing techniques for efficient processing of large documents.
  • Memory-efficient models: Implements attention mechanisms and transformer architectures that can handle long-range dependencies.
  • Incremental processing: Uses streaming algorithms to process documents in chunks, reducing memory requirements.
  • Automatic summarization: Employs extractive and abstractive summarization techniques, utilizing models like BART or T5 for generating concise summaries.

11-Step Checklist to Consider When Choosing an IDP Solution

Accuracy: Opt for software that delivers high precision for scanned, printed, and handwritten text.
Language Support: Ensure the tool supports the languages your business handles regularly.
Integration Capabilities: Check if it integrates seamlessly with your existing systems and software.
User-Friendliness: Choose an intuitive solution that minimizes the learning curve and training requirements.
Processing Speed: Assess the software’s ability to recognize and process documents quickly.
File Format Support: Confirm compatibility with different file formats, such as PDFs, images, and text documents.
Scalability: Choose software that grows with your needs and can handle increased document volumes.
Security Features: Use robust encryption, access controls, and regulatory compliance (like GDPR or HIPAA) to protect sensitive data.
Customization Options: Consider the ability to adjust settings or features to cater to specific business needs.
Cost: Compare subscription and one-time pricing models to find one that aligns with your budget.
Support and Maintenance: Ensure reliable customer support and regular software updates for optimal performance.

Industry-specific Use Cases of Docsumo’s IDP Platform

Financial Services
Software
Real Estate
Logistics
Healthcare

Financial Services

  • Debt settlement - Docsumo automates the extraction of critical data from financial statements, bank statements, and other relevant documents involved in debt settlement processes. With a high accuracy rate of 99%, it can quickly pull essential information such as outstanding balances, payment histories, and creditor details.
  • Revenue reconciliation - Financial operations teams utilize Docsumo’s IDP software to extract and validate revenue-related data from various sources, such as invoices, bank statements, and operating statements. The ability to handle complex tables and nested data structures ensures that all revenue entries are accurately captured and matched against the correct bank deposits or invoices.
  • Income verification - Docsumo can accurately extract income-related data from pay stubs, tax returns, and bank statements. Its ability to validate extracted data against predefined criteria ensures that the information is accurate and reliable. This ensures quick and accurate income verification for loan approvals or credit assessments, reducing the time taken to process applications.
  • Accounts payable - Docsumo IDP helps automate data extraction from invoices and payment documents, allowing organizations to capture key details such as vendor names, amounts due, and payment terms without manual intervention. Its smart table extraction capabilities enable it to handle complex invoice formats seamlessly. Furthermore, integration with financial software like QuickBooks ensures smooth data flow into accounting systems.
  • Accounts receivable - Docsumo can efficiently extract customer invoices, and payment receipts data. It allows businesses to improve their collection efforts, reduce sales outstanding (DSO) days, track outstanding payments, and manage cash flow effectively.

Docsumo’s IDP software allows National Debt Relief, one of America’s largest debt settlement firms, to save over 2.5k hours per year with 95%+ extraction accuracy.

Software

  • Risk management - Docsumo enables organizations to quickly identify potential risks and liabilities by automating data extraction from risk assessment reports, compliance documents, and insurance claims.
  • Utility bill management: Docsumo efficiently extracts relevant document data from utility bills, such as usage patterns and billing amounts. This automation helps software companies better manage operational costs by providing insights into utility expenses without manual data entry.
  • Bookkeeping - Docsumo’s IDP technology automates the processing of financial statements, receipts, and transaction records, simplifying bookkeeping tasks. This reduces the time spent on manual entries and enhances accuracy in financial reporting.
  • Invoice processing - Docsumo automates the document processing of key invoice details (e.g., vendor information, and amounts due) from diverse formats.

Docsumo partnered with Vertikal, a risk management platform, to help them save $20k in annual outsourcing costs with 40% lower document processing time.

Real Estate

  • Property/asset management - Docsumo streamlines property management by extracting data from lease agreements and maintenance records, leading to improved tenant onboarding and experience. 
  • Rent roll management - The IDP software automates the extraction of rent roll data to track rental income and tenant details accurately. 
  • CRE underwriting - Automating the extraction of borrower information from mortgage applications and financial statements aids in quicker underwriting decisions. This improves accuracy in assessing borrower creditworthiness and proactively proactively identifying potential cash flow issues.
  • Utility bill management - Docsumo’s IDP software pulls utility bill data, helping property managers monitor utility costs effectively and identify areas for savings.
  • Insurance compliance - The platform efficiently extracts critical compliance-related information from certificates of insurance, ensuring that real estate firms adhere to regulatory requirements while minimizing non-compliance risks.

Docsumo enables Westland, a property management company, to save over 2,000 work hours monthly and drive 98% accuracy in utility bill data extraction by leveraging complex deep learning and LLM to identify patterns.

Logistics

  • Shipment tracking - By automating the extraction of shipment details from bills of lading and tracking documents with advanced shipment notifications, Docsumo helps the logistics team fast-track shipment processing. This leads to improved tracking accuracy and quicker response times.
  • Accounts payable - Seamless data extraction of dispatch tickets and trucking receipts allows logistics companies to streamline their accounts payable processes and ensure timely payments to suppliers and truck drivers.
  • Invoice processing - Docsumo efficiently helps operations teams extract data from invoices related to shipping costs and logistics services to improve cash flow management.

NS Trucking, an American aggregate hauling company, leverages Docsumo’s IDP solution daily to save 5,000 work hours in manual processing time with 94% accurate dispatch ticket processing.

Energy and Utility

  • Accounts payable - Docsumo simplifies accounts payable processing for energy companies by automating invoice data extraction from utility vendors. This reduces manual entry errors and speeds up payment cycles.
  • Utility bill management - Docsumo extracts relevant data from utility bills to analyze consumption patterns and cost management. This helps organizations optimize energy usage, manage carbon emissions, and reduce costs effectively.

Docsumo allows Carbon Direct, a New York-based carbon management company, to reduce reporting errors by 35% and ensures the visibility of carbon footprints in real-time. This, in turn, saves them over $2,500 in processing costs. 

Healthcare

  • Accounts payable - Automating invoice processing for medical supplies and services streamlines accounts payable operations in healthcare settings. This ensures timely payments while reducing administrative burdens.
  • Insurance compliance - IDP software helps healthcare teams extract critical information from insurance claims forms, minimizing the risk of claim denials due to missing or incorrect information.
  • Income verification - Automating the extraction of income-related documents (e.g., pay stubs) facilitates quick income verification for patient financial assessments, speeding up eligibility determinations for financial assistance programs.
  • Patient application processing - Docsumo streamlines patient application processing by reducing wait times for processing applications and enhancing patient experience.

Leveraging Docsumo, Cassena Care, a healthcare firm based in New York, processes over 130k Medicaid applications yearly 2x faster with 99.81% accuracy. This results in faster patient onboarding and an improved focus on delivering quality care.

Human Resources (HR)

  • Background verification - Docsumo automates the HR document process by processing candidate information from resumes, cover letters, and application forms. The document workflow software can quickly pull out key details such as qualifications, work experience, and contact information, enabling HR teams to focus on evaluating candidates instead.
  • Candidate onboarding - By automating document processing from onboarding documents (e.g., tax forms, identification documents, and policy agreements), Docsumo minimizes errors and ensures compliance with organizational policies. 
  • HR regulatory compliance - The IDP platform can extract and validate data from compliance-related documents, such as employee contracts and regulatory forms. Its validation reduces the risk of legal issues stemming from incomplete or incorrect documentation, ensuring compliance with labor laws and internal policies. 

Pento, now HiBob, automates its payroll processing with Docsumo, saving its clients 1,500 work hours and $3,000 in late tax filing fines every month.

FAQs

What is the difference between OCR and Intelligent Document Processing?

OCR (Optical Character Recognition) is a technology used to convert scanned images or physical documents into machine-readable text. OCR extracts characters from an image and turns them into editable text, making it useful for documents like invoices, forms, and printed papers. However, OCR alone doesn’t understand the content or context of the document—it merely extracts text.
On the other hand, Intelligent Document Processing (IDP) goes beyond OCR by leveraging advanced technologies such as AI, machine learning, and natural language processing (NLP). IDP not only converts images or documents into text (like OCR) but also understands the structure and context of the data. It can classify documents, extract relevant information, validate data, and integrate it into business workflows, automating the entire document processing lifecycle.

What is the difference between IDP and NLP?

IDP (Intelligent Document Processing) is a broad solution incorporating various technologies to automate document processing. It can handle structured and unstructured data, extract key insights, and integrate the information into workflows. It often combines OCR, machine learning, and NLP.
On the other hand, NLP (Natural Language Processing) is a subset of AI that focuses on understanding, interpreting, and generating human language. NLP helps systems understand text-based data, making it ideal for tasks like sentiment analysis, language translation, and content categorization. While NLP is an essential component of IDP, IDP covers a broader set of functions, including document classification, data extraction, and workflow automation.

How accurate is Intelligent Document Processing?

Intelligent Document Processing (IDP) accuracy largely depends on the quality of the system, the training data, and the complexity of the documents being processed. Modern IDP systems, powered by AI and machine learning, can achieve 99% or higher accuracy when extracting data from well-structured documents such as invoices, contracts, and forms. The accuracy of unstructured documents (like handwritten notes or scanned images) may vary, but its performance improves over time as the system learns from more data. In addition, IDP can be fine-tuned for specific use cases, which can help boost accuracy even further.

What does Intelligent Document Processing do?

Intelligent Document Processing (IDP) automates the extraction, classification, and analysis of data from documents. IDP systems can handle structured (e.g., forms, invoices) and unstructured (e.g., contracts, emails) data. Here's what IDP does:
  • Data Ingestion: Captures documents from various sources, including emails, file systems, and paper-based forms.
  • Document Classification: Automatically classifies documents into categories (e.g., invoices, purchase orders, medical records).
  • Data Extraction: Extracts relevant information from documents, such as dates, amounts, or names, using technologies like OCR, NLP, and machine learning.
  • Data Validation: Validates the extracted data against predefined rules or external sources for accuracy.
  • Data Integration: Integrates the extracted data into business systems (e.g., CRM, ERP) for further use in workflows.
  • Automation of Workflows: Automates manual tasks like data entry, approval processes, and document routing, freeing human resources for more strategic work.