End Manual Data Entry Workflows with
99% Accurate Document Process Automation

Convert hours of data extraction time into minutes by automating unstructured document processing and building touchless workflows using Docsumo’s Document Automation software.

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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 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.

The Five-step Architecture Behind a Document Process Automation Software

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.

Nine Must-Have Features in Your Document Process Automation Software

1. Pre-Processing

OCR: Extracts high-fidelity text from images and scanned documents, supporting handwritten texts and multiple languages for text extraction.
Image quality check: Leverages ML and computer vision techniques to improve the quality of images through image enhancement algorithms (e.g., auto-brightness, contrast adjustment, and noise removal).
Auto-split: Automatically splits documents into separate sections. This is handled by implementing rule-based logic to segment the documents automatically.
Auto-classify: Automatically determines document type using an ML-based classifier to extract key features from the document.
Auto-orientation: Uses image processing techniques to detect and correct the orientation of documents and images to analyze the input data effectively.

2. Data Extraction & Review

LLM Extraction: Uses state-of-the-art AI models and transformer-based architectures capable of deeply analyzing unstructured data and making informed decisions. 
Gen AI document summarizer: AI-assisted chat feature for document interaction and summary using LLMs And RAG-based applications.
Pre-trained models: Offers AI models already trained on a data set of specific document types. Uses expert models trained on generic use cases for the highest accuracy.
Training custom models: Allows users to train their customized AI models on specific use cases for best accuracy.
AI assist for key values & tables: Uses AI-driven pre-trained models to easily structure data from hundreds of documents into the requested format using filtering and sorting techniques. Requires minimal setup and effort.
Email parsing: Extracts fields and tables from email attachments using NLP techniques to extract structured data from email header, body, and attachments.
Document reviewer:  Enables users to review and validate the extracted data, with the ability to configure specific key fields.
Few-shot learning: Helps ML models adapt to new data types with minimal training examples to improve accuracy.

3. Processing Capacity & Priority

Extract 20+ pages per document: Supports large document processing efficiently without a drop in performance or throughput.
Priority queue on processing: Allows faster processing for exclusive users, effective for high-demand and low-latency scenarios. 

4. Import & Export

Native integrations: Enables seamless connectivity with upstream and downstream systems, ensuring smooth ingestion and export of data to set up automated document process workflows.
Custom integrations: Provides connectivity with bespoke applications, offering flexibility to integrate systems that do not fall under standard native integrations. Modern platforms like Docsumo use AI to reduce the time needed for integration.
Export: Supports flexible data export in CSV, Excel, and JSON formats.
APIs and webhooks access: Uses REST APIs and webhooks for programmatic interaction and event-driven document process workflows with minimal human touchpoints.

5. Validation

Prompt-based validation: Instruct AI in natural language to validate specific fields.
Validation with custom code: Allows developers to write post-processing validation logic with custom code to refine data extraction results.
Master data lookup: Validates data by cross-referencing with master data.
Cross-document validation: Validate by cross-referencing values across multiple documents. For example, ensuring the invoice number matches the purchase order and invoice.
External database validation: Validates data cross-referencing against external databases with two-way or three-way matching.

6. Analytics

Document processing dashboard: Provides performance overview through the post-processing reporting dashboard with details on platform usage and data extraction accuracy metrics.
Ratios & calculated fields: Generate tailored analytics for operational and financial insights using custom metrics/ratios and fields.
Auto-categorization: Automatically organizes table line items into different categories for better document process workflow management.

7. Workflow

Alerts and notifications: Receive real-time alerts via Slack, Gmail, or other communication tools for validation errors or successful processing milestones.
Straight-through processing: Automates the data validation based on the extraction's confidence level to enable seamless downstream transmission without human intervention.
User management: Control the number of users that can use the platform & access control.
Assign users for review: Ability to assign team members to fast-track review workflow.
Embeddable review screen: Allows integration of a temporary token into users' workflow to access and review documents without needing login credentials. 

8. Support

Support channels: Exclusive access to the customer success team to ensure uninterrupted success via email or chat.
Dedicated account manager: Ability to connect and resolve queries with a dedicated document process automation expert.
Automation expert consultation: Access to undivided attention from automation experts over 1:1 consultation calls.
Training sessions: Allows getting up to speed with extensive training sessions.

9. Security & Compliance

Authentication: Ability to set up a social authentication process for the account.
Data center locations: Includes a region closest to the user’s location for faster processing time.
Compliance: Compliance with the highest data privacy standards by being ISO, HIPAA, SOC-2, and GDPR certified.

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11-Step Checklist to Consider When Choosing a Document Process Automation Software

Accuracy: Opt for software that delivers high precision for 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, to ensure flexibility.
Scalability: Choose software that grows with your needs and can handle increased document volumes over time.
Security Features: Look for 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 Document Automation Software

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 advanced AI models 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 helps automate document 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 data extraction 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 document data extraction 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 data extraction of key invoice details (e.g., vendor information, 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 document data extraction software automates the extraction of rent roll data to accurately track rental income and tenant details. 
  • 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 data extraction 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 data extraction system 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 - Docsumo 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, leading to faster patient onboarding and an improved focus on delivering quality care.

Human Resources (HR)

  • Background verification - Docsumo automates the HR document process by extracting candidate information from resumes, cover letters, and application forms. The document process automation software can quickly pull out key details such as qualifications, work experience, and contact information and enable HR teams to focus on evaluating candidates instead.
  • Candidate onboarding - By automating the extraction of data 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 automation 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 while saving 1,500 work hours and $3,000 in late tax filing fines for its clients every month.

FAQs

What is the best document process automation software?

The best document automation software depends on your business's specific needs. However, Docsumo is widely regarded as one of the leading solutions in this space. It uses advanced AI-powered data capture, including OCR and ICR, to automate the extraction and processing of data from documents like invoices, contracts, and forms. This software can handle large volumes of documents with high accuracy and efficiency, making it an excellent choice for businesses looking to streamline their document workflows.

What are the four types of document process automation?

The four types of automation are:
  • Fixed/Hard Automation: This is used for high-volume, repetitive tasks where processes are set and do not change. It's commonly used in manufacturing.
  • Programmable Automation: This type allows for some process flexibility, such as adjusting for different product types or tasks. It’s often used in industries like automotive manufacturing.
  • Flexible/Soft Automation: This type adapts to changes in tasks or processes and is used in environments that require more variability. It’s common in industries like electronics and consumer goods.
  • Cognitive Automation: This involves using AI and machine learning to make decisions, recognize patterns, and adapt to changing conditions. It’s used for tasks that require decision-making and processing unstructured data, such as document automation and customer service.

What data is used in document process automation?

Document automation typically involves the extraction of data from various types of documents, including:
  • Text: Names, addresses, dates, amounts, and other key data points.
  • Images: Diagrams, signatures, or other visual elements that must be processed or extracted.
  • Barcodes/QR Codes: Scanned codes used to track products or documents.
  • Handwritten Text: Processed via Intelligent Character Recognition (ICR) to capture various handwriting styles.
  • Metadata: File properties like creation date, author, and document type.
The software then converts this data into structured processing, analysis, or storage formats.

What are the three phases of document process automation?

The three phases of document automation typically involve the following:
  • Document Capture: Scanning and importing documents (e.g., invoices, contracts, forms) into the system for processing. This phase may also involve extracting raw data from paper or digital documents.
  • Data Extraction and Processing: The software uses techniques like OCR (Optical Character Recognition), ICR (Intelligent Character Recognition), and machine learning to extract relevant data from documents and organize it into a structured format. Validation checks are often applied to ensure accuracy.
  • Integration and Output: The extracted data is exported and integrated with other systems like CRM, ERP, or accounting software for further analysis, reporting, or action. It may also involve generating new documents based on predefined templates or workflows.