Extract Data 10x Faster With AI-Led Document Scanning Software

Choose automated document scanning over manual processing to drive faster business-critical decisions in 2025. 

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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

The Leading Document Scanning Tools in 2025 Ranked

Document AI
Textract
Document AI
FineReader PDF Corporate
OmniPage
Docparser

Overview

G2 Rating
4.7 (55 reviews)
4.4 (24 reviews)
4.2 (36 reviews)
4.4 (10 reviews)
4.5 (5,491 reviews)
4.6 (51 reviews)
Target Market Segments
Mid-Market + Enterprise
Enterprise
Enterprise
Enterprise
Enterprise
Mid-Market
Pricing
Starts at $0.3 per page
Starts at $1.5 per 1000 pages
Starts at $1.5 per 1000 pages
Starts at $24 per month
Starts at $750 per month
Starts at $39 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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-
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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.
10+ pre-trained models with support in multiple languages.
Limited set of pre-trained models that cater to credit card and bank statements only.
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.
Long-drawn training process, involving multiple steps and significant work hours to set up.
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 and clunky review screen experience. Has a steep learning curve.
Overwhelming review screen experience. Has a steep learning curve.
Overwhelming review screen experience for non-technical users.
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.
Lengthy processing time to capture data from large documents.
Limits extraction of PDFs with 50+ pages.
Duplicate File Detection
-
Accuracy
95-99%
93%
93%
82%
90%
87%

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.
15+ third-party apps available for integration.
10+ third-party apps available for integration.

Data Validation

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

Analytics

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

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.
Available only in the premium-tier plans and above.
Comes at an additional cost.

Docsumo

Docsumo leverages advanced document scanning technology to transform unstructured invoice data into structured, machine-readable formats. Docsumo Document AI offers a flexible 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 FineReader PDF Corporate

ABBYY FineReader PDF Corportate is an intelligent document scanning 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.
  • 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 FineReader 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. 

Tungsten OmniPage

Tungsten OmniPage is a comprehensive document scanning platform that combines data extraction, workflow automation, and AI-driven insights to streamline business processes.

Key features -

  • Advanced OCR and intelligent document scanning capabilities for scanning and extracting data from various document types.
  • Low-code/no-code workflow automation tools for designing and implementing complex business processes.
  • AI and machine learning integration for enhanced data scanning and extraction and process optimization.

Things to consider -

  • Some users report occasional technical glitches and system restarts.
  • The learning curve can be steep for non-technical users, especially for advanced features.
  • Pricing may be higher compared to some competitors, particularly for cloud-based versions.
  • Documentation and training resources could be improved for easier adoption.

Pricing -

Tungsten OmniPage offers customized pricing based on specific business needs and deployment options. 

Docparser

Docparser is a cloud-based document scanning tool that extracts data from PDFs, emails, and other document formats using OCR and custom parsing rules.

Key features -

  • Scans data from PDF, Word, and image files using Zonal OCR technology.
  • Offers custom parsing rules creation without coding, using a visual rule editor.
  • Supports multiple input methods including cloud storage, email, and API.

Things to consider -

  • Maximum file size limit of 20 MB (8 MB recommended) per document scan.
  • OCR processing is limited to 50 pages for scanned documents.
  • May require more setup time for scanned documents with highly variable formats or unstructured content.
  • Limited set of pre-trained models.

Pricing -

Docparser offers a tiered pricing model based on the number of parsing credits. The basic plan starts at $39/month for 100 documents.

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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How Document Scanning Apps Extract Data From Diverse Documents

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.

Five-step Checklist to Choose the Right Document Scanning Tool for Your Team

Ease of Use

Selecting document scanning software requires prioritizing user-friendly interfaces that transform complex technological workflow into seamless experiences. The ideal solution should offer:

  • Zero-configuration document upload mechanisms
  • Drag-and-drop functionality across multiple file formats
  • Intuitive dashboard with real-time processing insights
  • Minimal learning curve for team members
  • Adaptive user interfaces that simplify complex scanning workflows

Customization Options

Modern organizations encounter document diversity that demands sophisticated extraction capabilities. Your document scanning software must demonstrate remarkable flexibility in handling varied document architectures, including:

  • Intelligent layout recognition algorithms
  • Machine learning-powered adaptive extraction
  • Support for multiple document types (invoices, contracts, forms)
  • Configurable extraction rules
  • Automatic format and language detection

Security & Compliance

Ensure that the document scanning software serves as a comprehensive security ecosystem. Critical security features should include:

  • End-to-end encryption for data at rest and in transit
  • Multi-factor authentication
  • Compliance with international standards (GDPR, HIPAA)
  • Comprehensive audit trail capabilities
  • Advanced threat detection mechanisms

Seamless Integration Capabilities

Document scanning should not exist in isolation but as a strategic technological node within your broader digital infrastructure. Look for platforms offering:

  • Comprehensive API frameworks
  • Native integrations with enterprise systems
  • Webhook support for custom workflow automation
  • Multiple data export formats
  • Real-time synchronization capabilities

Pricing

Pricing should reflect delivered value rather than merely technical specifications. An ideal document scanning solution must provide:

  • Usage-based scaling options
  • No hidden implementation costs
  • Flexible enterprise agreement structures

Best Practices To Get The Most Out Of A Document Scanning Platform

Ensure Accurate Data Ingestion

It is crucial to start with high-quality input documents for accurate data extraction. Ensure that the files are in supported formats, such as PDF, TIFF, or JPEG, and free from distortions like blurriness, skewing, or excessive noise. Poor-quality scans or images can significantly impact OCR accuracy and lead to data extraction errors.

To enhance input quality:
  • Use 300-400 DPI resolution for scanned documents
  • Preprocess documents with image enhancement techniques like deskewing, noise reduction, and adaptive thresholding
  • Avoid heavily compressed or low-resolution images that may lose critical details during scanning

Leverage Advanced OCR Capabilities

When dealing with scanned or image-based documents, ensure your document scanning platform is equipped with state-of-the-art OCR technology. Modern OCR engines use deep learning models like Tesseract or transformer-based architectures to recognize and extract text from printed and handwritten documents accurately.

Best practices include:
  • Configuring OCR settings for specific languages or scripts
  • Using zonal OCR for targeted data extraction from predefined fields
  • Employing multi-language support if processing documents in diverse languages

OCR technology is particularly valuable when working with legacy paper or image-based documents, ensuring seamless scanning of text data.

Configure Custom Extraction Rules

Every organization has unique data requirements; not all documents follow a standard format. Configure custom extraction rules tailored to your workflows to extract the most relevant information. Modern platforms allow you to define parameters such as:

  • Specific fields (e.g., invoice numbers, dates, amounts)
  • Regex patterns for structured data
  • Conditional rules for context-based extraction
  • Zonal regions for layout-specific data capture

Validate and Review Extracted Data

Even the most advanced document scanning platforms may occasionally produce errors due to variations in document formats or quality issues. Therefore, it is essential to implement a robust validation process to review extracted data before it is used in critical workflows.

Key validation steps include:
  • Cross-checking extracted data against the original document
  • Using confidence scores provided by the platform to identify low-certainty fields
  • Regularly updating extraction rules based on recurring errors or inconsistencies

Automate Repetitive Workflows

Document scanning platforms excel at automating repetitive tasks, such as processing recurring invoices or monthly reports. You can save time and reduce manual intervention by leveraging automation features like scheduled batch processing.

To maximize automation:
  • Set up workflows for recurring tasks
  • Use APIs or webhooks to integrate automated processes with other enterprise systems
  • Configure notifications for exceptions or errors during automated runs

Industry-specific Use Cases of Docsumo’s Document Scanner

Financial Services
Software
Real Estate
Logistics
Healthcare

Financial Services

  • Debt settlement - Docsumo automates the scanning and 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 document scanning software to scan, 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’s document scanner helps automate data scanning 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 receipt data. It allows businesses to improve their collection efforts, reduce sales outstanding (DSO) days, track outstanding payments, and manage cash flow effectively.

Docsumo’s document scanning 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 identify potential risks and liabilities quickly by automating data scanning and 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 AI-powered document scanning 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 scanning and extracting data from lease agreements and maintenance records, leading to improved tenant onboarding and experience. 
  • Rent roll management - The document scanner 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 document scanning tool 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 scanning and 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 scan and 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 document scanning 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 scans and 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 - Document scanning 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 scanning and 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 scanning 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 document scanning app can extract and validate data from compliance-related documents, such as employee contracts and regulatory forms. Its validation reduces the risk of legal issues 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

How can document workflow software improve team collaboration and productivity?

Document workflow software enhances team collaboration and productivity by automating manual processes, streamlining document routing, and providing real-time document access. By centralizing document management, teams can easily collaborate on documents, track progress, and ensure tasks are completed on time. Automated notifications and task assignments help teams stay organized, while version control ensures everyone works on the most up-to-date document. This reduces delays, eliminates miscommunication, and allows teams to focus on more critical tasks.

What are the key features to look for in document workflow software?

When choosing document workflow software, key features to consider include:
  • Automation: Automates repetitive tasks like data extraction and document routing to increase efficiency.
  • Customizable workflows: Allows you to create tailored workflows for specific document types and processes.
  • Collaboration tools: Facilitates real-time collaboration, document sharing, and feedback.
  • Security and compliance: Ensures documents are protected with encryption, access controls, and compliance with relevant regulations.
  • Integration: It should integrate easily with your existing tools, such as CRM, ERP, and other business systems.
  • Analytics: Provides insights into document processing metrics, helping identify bottlenecks and optimize workflows.
  • Version control and audit trails: Tracks changes to documents and provides a history of approvals and edits.

Can document workflow software integrate with existing tools like CRM and ERP systems?

Yes, most modern document workflow software solutions are designed to integrate seamlessly with existing tools like CRM (Customer Relationship Management) and ERP (Enterprise Resource Planning) systems. This allows for better data flow between systems, reduces manual data entry, and ensures consistency across all business operations. For instance, documents generated in the CRM can be automatically routed through the workflow software for approval and further processing. Integration also allows for better tracking of customer interactions and business processes.

Is document workflow software secure, and how does it ensure compliance?

Yes, document workflow software is typically built with strong security measures to ensure the confidentiality and integrity of your documents. Standard security features include:
  • Encryption: Both in transit and at rest, ensuring data is securely transferred and stored.
  • Access controls: Role-based permissions allow you to control who can view, edit, and approve documents.
  • Audit trails: Tracks all interactions with documents, creating a complete history of changes and approvals.
  • Compliance features: Many document workflow tools comply with industry standards and regulations, such as GDPR, HIPAA, or SOC 2, ensuring that your business meets legal and regulatory requirements for document handling.

How does document workflow software help automate manual processes and reduce errors?

Document workflow software helps automate manual processes by eliminating repetitive tasks such as data entry, document routing, and approval workflows. Automated data extraction and validation reduce the risk of human error, ensuring that information is captured accurately and consistently. Automating document handling allows businesses to process documents faster, reduce bottlenecks, and improve overall efficiency. Additionally, automated notifications ensure that stakeholders are informed of necessary actions, reducing delays and ensuring timely completion of tasks.