GITNUXSOFTWARE ADVICE
Business FinanceTop 10 Best Check Scanning Software of 2026
Compare top check scanning software for easy document processing. Find the best solution to scan, store, and manage checks efficiently.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
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Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Kofax
Advanced recognition and workflow orchestration for automated check capture and exception processing
Built for financial operations teams automating check intake with exception workflows.
FIS (Perceptive) Document Capture
Configurable capture pipelines for check images and document-type classification
Built for financial operations teams needing automated check capture and routing.
Hyland (OnBase)
OnBase Workflow routing with automatic indexing from scanned check images
Built for enterprises needing managed check capture feeding automated document workflows.
Related reading
Comparison Table
This comparison table reviews check scanning software used to capture checks, extract key fields, and route documents for downstream processing. It contrasts major platforms such as Kofax, FIS (Perceptive) Document Capture, Hyland (OnBase), Laserfiche, and DocuWare, with emphasis on scan capture features and document management capabilities.
| # | Tool | Category | Overall | Features | Ease of Use | Value |
|---|---|---|---|---|---|---|
| 1 | Kofax Provides check scanning and intelligent document processing to capture check images, extract data, and automate back-office workflows. | enterprise OCR | 8.2/10 | 8.7/10 | 7.6/10 | 8.2/10 |
| 2 | FIS (Perceptive) Document Capture Offers capture and document workflow solutions that support check imaging and straight-through processing for financial documents. | capture platform | 8.1/10 | 8.6/10 | 7.6/10 | 7.9/10 |
| 3 | Hyland (OnBase) Implements document capture and workflow automation for scanning checks, indexing images, and routing items for processing. | workflow ECM | 8.0/10 | 8.4/10 | 7.6/10 | 7.8/10 |
| 4 | Laserfiche Provides document capture tools to scan checks, extract key fields, and store images in an organized repository. | document management | 8.1/10 | 8.6/10 | 7.4/10 | 8.1/10 |
| 5 | DocuWare Enables check scanning workflows with document capture, indexing, storage, and automated routing for accounts payable and banking operations. | document workflow | 8.0/10 | 8.4/10 | 7.6/10 | 7.7/10 |
| 6 | RICOH (Ascent Capture) Supports high-throughput check and document capture with automated indexing, validation, and storage for enterprise processing. | high-volume capture | 7.9/10 | 8.3/10 | 7.4/10 | 8.0/10 |
| 7 | ABBYY Vantage Uses AI document understanding to capture checks, extract payer and amount fields, and verify data for finance workflows. | AI extraction | 8.0/10 | 8.5/10 | 7.5/10 | 7.9/10 |
| 8 | Microsoft Azure AI Document Intelligence Provides document OCR and layout analysis to extract structured check fields from scanned images for downstream processing. | API-first OCR | 8.1/10 | 8.6/10 | 7.7/10 | 7.9/10 |
| 9 | Google Document AI Uses managed document OCR and structure extraction to pull check details from scanned images for automated finance handling. | cloud OCR | 7.3/10 | 7.6/10 | 6.8/10 | 7.4/10 |
| 10 | Kofax Express Offers streamlined check and document scanning with automated capture and indexing for smaller teams and straightforward workflows. | SMB capture | 7.1/10 | 7.2/10 | 6.8/10 | 7.2/10 |
Provides check scanning and intelligent document processing to capture check images, extract data, and automate back-office workflows.
Offers capture and document workflow solutions that support check imaging and straight-through processing for financial documents.
Implements document capture and workflow automation for scanning checks, indexing images, and routing items for processing.
Provides document capture tools to scan checks, extract key fields, and store images in an organized repository.
Enables check scanning workflows with document capture, indexing, storage, and automated routing for accounts payable and banking operations.
Supports high-throughput check and document capture with automated indexing, validation, and storage for enterprise processing.
Uses AI document understanding to capture checks, extract payer and amount fields, and verify data for finance workflows.
Provides document OCR and layout analysis to extract structured check fields from scanned images for downstream processing.
Uses managed document OCR and structure extraction to pull check details from scanned images for automated finance handling.
Offers streamlined check and document scanning with automated capture and indexing for smaller teams and straightforward workflows.
Kofax
enterprise OCRProvides check scanning and intelligent document processing to capture check images, extract data, and automate back-office workflows.
Advanced recognition and workflow orchestration for automated check capture and exception processing
Kofax stands out for combining high-volume check capture with document automation built for back-office exceptions. Its check scanning capabilities focus on image acquisition, OCR, and automated routing into downstream workflows. Kofax also emphasizes capture quality controls and configurable processing steps to handle remittances and rejects at scale.
Pros
- Strong document capture pipeline with OCR and field extraction for checks
- Configurable routing supports straight-through processing and exception handling
- Quality controls help reduce misreads from noisy or damaged check images
- Scales for batch capture with enterprise workflow integration
Cons
- Workflow setup and rule tuning can require specialist configuration
- Exception handling design takes effort to reach low reject rates
- Licensing and deployment complexity can slow time-to-value
Best For
Financial operations teams automating check intake with exception workflows
More related reading
FIS (Perceptive) Document Capture
capture platformOffers capture and document workflow solutions that support check imaging and straight-through processing for financial documents.
Configurable capture pipelines for check images and document-type classification
FIS Perceptive Document Capture stands out with enterprise-grade capture and classification for scanned documents tied to broader Perceptive workflows. It supports check-focused capture, including image capture, recognition, and output packaging for downstream processing. Batch handling and configurable document types help operations teams standardize ingestion from scanners across sites. Strong auditability and integration orientation make it a fit for controlled back-office processing pipelines rather than one-off scanning.
Pros
- Check capture designed for structured back-office ingestion
- Batch processing supports high-volume document workflows
- Works well with Perceptive-based downstream document handling
Cons
- Configuration depth can slow initial setup for new teams
- Interface complexity increases training needs for non-technical operators
- Value depends on already using Perceptive workflows
Best For
Financial operations teams needing automated check capture and routing
Hyland (OnBase)
workflow ECMImplements document capture and workflow automation for scanning checks, indexing images, and routing items for processing.
OnBase Workflow routing with automatic indexing from scanned check images
Hyland OnBase stands out for enterprise capture tied to document and case management workflows, not just standalone check digitizing. Check scanning is supported through image capture, automatic indexing, and routing into OnBase repositories for downstream processing. Organizations also gain OCR and workflow automation that can feed approvals, exceptions, and audit trails tied to business processes. Strong fit emerges when checks must become structured records inside a broader ECM and workflow environment.
Pros
- Enterprise capture integrates check images directly into document workflows
- Automatic indexing and OCR reduce manual keying for captured check data
- Robust auditing and retention controls support regulated banking workflows
Cons
- Workflow configuration can require specialist setup for best results
- Check scanning performance depends heavily on deployment and input quality
- User navigation can feel heavy without tailored screens and templates
Best For
Enterprises needing managed check capture feeding automated document workflows
More related reading
Laserfiche
document managementProvides document capture tools to scan checks, extract key fields, and store images in an organized repository.
Laserfiche OCR-driven indexing and workflow routing for scanned document capture
Laserfiche stands out with its enterprise content management foundation tied to document intake and capture workflows. Check scanning is supported through automated ingestion, OCR, indexing, and configurable document routing into a managed repository. The solution fits organizations that need scanned checks turned into searchable, audit-ready records with standardized workflows. Strong administration and integration options support controlled processing across teams and departments.
Pros
- Configurable check document workflows with indexing and routing control
- OCR-enabled search for extracted fields and faster retrieval
- Enterprise governance features for audit trails and managed repositories
- Strong integration with ECM tooling and business systems
- Scales for high-volume capture operations across departments
Cons
- Workflow configuration can require substantial administrator effort
- Users may need training to index and validate extracted data effectively
- Setup complexity is higher than purpose-built single-purpose check scanners
Best For
Organizations standardizing check capture with ECM governance and workflow routing
DocuWare
document workflowEnables check scanning workflows with document capture, indexing, storage, and automated routing for accounts payable and banking operations.
Document classes with field-level indexing that drive workflow routing and retrieval
DocuWare stands out with document management paired to workflow automation and index-based retrieval, which directly supports check scanning and downstream processing. The system captures checks and routes them through configurable workflows that can extract and verify fields during import into document classes. Strong integrations and role-based permissions help connect scan intake to approvals, payments workflows, and audit trails.
Pros
- Configurable scan-to-workflow routing with document class metadata
- Audit-ready traceability with user roles, versioning, and retention controls
- Powerful search and retrieval using indexed fields and OCR output
- Integrations that fit enterprise document and back-office systems
Cons
- Setup of capture rules and indexing takes time and process design
- Workflow configuration can feel complex for teams without automation experience
- Check-specific capture may require tuning to match varying check formats
Best For
Enterprises needing governed check intake with automated approvals and searchable archives
RICOH (Ascent Capture)
high-volume captureSupports high-throughput check and document capture with automated indexing, validation, and storage for enterprise processing.
Template-driven check image capture and field extraction for consistent batch processing
RICOH Ascent Capture stands out for combining check-specific image capture with configurable document processing and routing. It supports batch scanning workflows with recognition and classification to extract key fields from scanned checks and related remittance documents. The solution fits organizations that need standardized capture rules across locations while integrating with existing back-office systems through established connectors and output options.
Pros
- Strong document classification to route checks and remittance images
- Batch-oriented workflow supports high-volume capture operations
- Configurable extraction rules for consistent field capture across batches
- Designed to integrate captured documents into enterprise processing
Cons
- Configuration can be complex without an implementation partner
- User experience depends heavily on how capture templates are set up
- Advanced recognition tuning typically takes operational testing
Best For
Enterprises standardizing high-volume check capture with configurable routing and extraction
More related reading
ABBYY Vantage
AI extractionUses AI document understanding to capture checks, extract payer and amount fields, and verify data for finance workflows.
Model-driven document data extraction with configurable field templates for check remittance data
ABBYY Vantage stands out for combining document capture with configurable data extraction and workflow-ready outputs. It supports scanning and OCR to read check fields like payee, amount, date, and routing details from high-quality or moderately noisy images. The system emphasizes automation through template and model-driven recognition rather than manual per-check entry. Outputs integrate with downstream systems by exporting structured data and supporting review and correction workflows.
Pros
- Strong OCR and extraction for semi-structured check fields
- Template-driven configuration reduces repetitive manual work
- Review workflows support human verification for exceptions
- Structured outputs fit capture pipelines and downstream processing
Cons
- Best results require careful setup of templates and capture rules
- Validation tuning can take effort for diverse check formats
- Workflow integration may require implementation work
Best For
Banks and AP teams automating check capture with structured extraction
Microsoft Azure AI Document Intelligence
API-first OCRProvides document OCR and layout analysis to extract structured check fields from scanned images for downstream processing.
Custom model training with layout-aware extraction for consistent check field capture
Microsoft Azure AI Document Intelligence stands out for its end-to-end document extraction features that convert scanned images into structured fields. Check-specific workflows are supported through OCR, layout understanding, and form extraction that can capture payee and amount fields from check images. The service integrates into Azure pipelines with custom models and batch processing options for large document volumes.
Pros
- Strong OCR and layout analysis for noisy scans and multi-line text
- Structured field extraction supports form-like documents and custom layouts
- Custom model training helps tailor extraction to specific check templates
- Azure integration supports batch workflows and downstream data processing
Cons
- Check-specific accuracy can require tuning and custom modeling
- Developers must manage document ingestion, retries, and post-processing logic
- Complex pipelines add engineering overhead for straightforward capture use cases
Best For
Teams building check data extraction pipelines on Azure with custom tuning
More related reading
Google Document AI
cloud OCRUses managed document OCR and structure extraction to pull check details from scanned images for automated finance handling.
Document AI processors that turn scanned pages into structured JSON via extraction schemas
Google Document AI distinguishes itself by combining document parsing with managed AI models that extract structured fields from scanned pages. It supports invoice and receipt-style workflows and can also be applied to check images by extracting amounts, payee names, and reference fields with custom model or pipeline configuration. The service integrates tightly with Google Cloud storage, identity, and downstream systems for routing extracted data into business processes. Accuracy depends heavily on scan quality and the field definitions used for the target document type.
Pros
- Managed parsing models with configurable extraction pipelines
- Strong integration with Cloud Storage and event-driven processing
- Custom processors and field extraction for nonstandard document layouts
- Good support for OCR plus structured output for downstream automation
Cons
- Check-specific accuracy requires careful field mapping and validation
- Setup and tuning demand more engineering than no-code check scanners
- Complex extraction workflows add operational overhead in cloud projects
Best For
Teams on Google Cloud needing configurable OCR and field extraction at scale
Kofax Express
SMB captureOffers streamlined check and document scanning with automated capture and indexing for smaller teams and straightforward workflows.
Check-specific processing with validation and exception workflows in a capture-to-routing pipeline
Kofax Express stands out for automated check capture that feeds directly into business workflows and downstream document processing. It supports image capture, validation, and routing so checks can move from scan to classification and exception handling with minimal manual work. The solution focuses on straight-through processing for finance teams rather than ad-hoc document discovery. It also integrates with Kofax workflow components to move captured check data into existing back-office systems.
Pros
- Automated check capture pipeline reduces manual re-keying and status checking
- Exception handling supports more complete straight-through processing
- Works with Kofax workflow and document processing components for end-to-end routing
Cons
- Setup and workflow configuration can be complex for non-technical operations teams
- Higher process maturity is required to realize automation beyond basic capture
- Less suitable for one-off scanning without established processing rules
Best For
Organizations automating check intake with structured workflows and exception handling
Conclusion
After evaluating 10 business finance, Kofax stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Check Scanning Software
This buyer’s guide covers how to choose check scanning software that can capture check images, extract fields, and route items into downstream workflows. It compares tools including Kofax, FIS (Perceptive) Document Capture, Hyland (OnBase), Laserfiche, DocuWare, RICOH (Ascent Capture), ABBYY Vantage, Microsoft Azure AI Document Intelligence, Google Document AI, and Kofax Express. The guide focuses on practical capabilities like OCR and field extraction, template or model configuration, batch throughput, and audit-ready workflow routing.
What Is Check Scanning Software?
Check scanning software converts scanned check images into structured outputs that support processing, storage, and automated workflow routing. These systems typically perform image capture plus OCR and field extraction for items like payee, amount, date, and routing details so checks move forward without manual re-keying. Many deployments also add indexing, document classification, and exception handling for rejects or back-office anomalies. Tools like Kofax and Hyland (OnBase) illustrate how check capture can feed broader workflow and repository systems instead of staying as a simple digitization tool.
Key Features to Look For
The most reliable check scanning outcomes come from features that turn images into validated, searchable, workflow-ready records at volume.
Check-specific OCR and field extraction for payee, amount, and routing details
Choose software that extracts structured check fields from check images rather than relying only on plain OCR text. ABBYY Vantage emphasizes model-driven extraction for remittance fields like payee and amount, and Microsoft Azure AI Document Intelligence supports layout-aware form extraction for check-like fields.
Template or model-driven recognition for consistent extraction across varying checks
Look for template-driven or model-trained recognition that reduces per-check manual entry when formats vary. RICOH (Ascent Capture) uses template-driven capture and field extraction for consistent batch processing, and Azure AI Document Intelligence supports custom model training for specific check templates.
Workflow orchestration with straight-through processing and exception handling
Select tools that can route validated checks into downstream steps and handle rejects without breaking the pipeline. Kofax provides configurable routing for straight-through processing and exception handling, and Kofax Express supports check-specific validation and exception workflows in a capture-to-routing pipeline.
Batch capture support for high-volume intake and standardized routing
High-volume operations need batch handling so capture, classification, and outputs stay consistent across scanner sites. FIS (Perceptive) Document Capture supports batch processing with configurable document types, and RICOH (Ascent Capture) provides batch-oriented workflows for enterprise capture operations.
Indexed retrieval plus OCR-enabled search for audit-ready access
Search must work off extracted fields and document metadata, not just image filenames. DocuWare uses document classes with field-level indexing to drive retrieval, and Laserfiche supports OCR-enabled search for extracted fields while organizing scanned checks into managed repositories.
Integration with enterprise document repositories, ECM, and workflow systems
The best deployments connect capture to existing repositories and case or approval workflows. Hyland (OnBase) routes captured check images into OnBase repositories with automatic indexing, and Laserfiche emphasizes ECM governance features and integrations for managed routing.
How to Choose the Right Check Scanning Software
Selection should match the capture workflow complexity, extraction variability, and where structured outputs must land in the organization.
Map the target workflow to repository and routing needs
If checks must become structured records inside an ECM or case workflow, Hyland (OnBase) is a strong fit because it routes scanned checks into OnBase repositories with automatic indexing and OCR. If checks must feed governable intake into document classes for approvals and traceability, DocuWare provides field-level indexing that drives workflow routing and retrieval. If the process is primarily back-office automation with exceptions, Kofax provides configurable routing for straight-through processing and exception handling.
Validate that extraction matches check complexity and image conditions
For varied or moderately noisy check images, Microsoft Azure AI Document Intelligence emphasizes layout-aware extraction and custom model training for consistent field capture. For remittance documents with semi-structured fields, ABBYY Vantage focuses on model-driven data extraction using configurable field templates. For environments focused on standardized capture rules across locations, RICOH (Ascent Capture) uses template-driven extraction and classification so fields are captured consistently in batches.
Confirm how the tool handles rejects and reduces misreads
Exception handling must support both workflow routing and quality control so rejects do not stall the process. Kofax includes quality controls to reduce misreads from noisy or damaged check images and configurable processing steps for remittances and rejects. Kofax Express also supports validation plus exception workflows so capture can proceed with fewer manual stop points.
Check whether configuration depth fits the team’s operational capability
Deep workflow and recognition tuning can require specialist setup, which can slow time-to-value for non-technical teams. Kofax and Hyland (OnBase) both tie performance to workflow configuration design and rule tuning, so internal ownership of configuration is needed. If faster rollout is the priority, Kofax Express is positioned around straight-through capture and capture-to-routing automation that still includes validation and exception handling.
Align batch intake and document-classification to reduce manual indexing
High-volume capture benefits from batch processing plus classification so operators spend time on exceptions instead of routine keying. FIS (Perceptive) Document Capture emphasizes batch handling and configurable document-type classification for structured back-office ingestion. Laserfiche adds OCR-driven indexing and workflow routing to store checks as searchable, audit-ready records with managed repositories.
Who Needs Check Scanning Software?
Different check scanning tools fit different operational goals, especially whether capture must feed exceptions, approvals, or managed ECM workflows.
Financial operations teams automating check intake with exception workflows
Kofax is built for automated check capture with advanced recognition and workflow orchestration that supports straight-through processing plus exception handling. Kofax Express also targets automated check intake with validation and exception workflows when the workflow maturity is already set for structured processing.
Financial operations teams needing automated check capture and routing into structured back-office pipelines
FIS (Perceptive) Document Capture focuses on check-focused capture with recognition and output packaging for downstream Perceptive workflows. ABBYY Vantage supports structured extraction for finance workflows with review and correction steps for exceptions.
Enterprises needing managed check capture feeding automated document or case workflows
Hyland (OnBase) is a fit when check images must become structured records inside an OnBase repository with automatic indexing, OCR, and robust auditing and retention controls. DocuWare is a fit when document classes and field-level indexing must drive governed check intake, approvals, and audit-ready traceability.
Teams standardizing high-volume capture across sites using consistent templates and rules
RICOH (Ascent Capture) provides template-driven capture and field extraction for consistent batch processing with configurable extraction rules across locations. Laserfiche supports enterprise governance for standardized ingestion into managed repositories with OCR-enabled search and workflow routing.
Common Mistakes to Avoid
Several recurring pitfalls appear across enterprise check scanning tools, especially around configuration, extraction validation, and over-scoping the capture use case.
Choosing a workflow-heavy platform without planning for rule tuning ownership
Kofax and Hyland (OnBase) can deliver strong routing and indexing only when workflow configuration and rule tuning are designed carefully. DocuWare and Laserfiche also require time to set up capture rules and indexing so extracted fields can drive correct workflow routing and retrieval.
Expecting perfect extraction from noisy or damaged checks without quality controls or exception paths
Kofax includes quality controls to reduce misreads from noisy or damaged check images and supports exception handling to address rejects at scale. ABBYY Vantage pairs extraction with review workflows for human verification when fields need correction.
Underestimating engineering work for cloud-based custom extraction pipelines
Google Document AI and Microsoft Azure AI Document Intelligence can require custom model training, field mapping, and post-processing logic to reach check-specific accuracy. Google Document AI processors produce structured JSON via extraction schemas, but check-specific accuracy depends on field definitions and validation logic for the target document layouts.
Using an AI extraction service as a standalone scanner when the business needs governed archives and traceability
ABBYY Vantage and Azure AI Document Intelligence excel at extraction, but governed storage and audit-ready routing are more directly supported by DocuWare, Laserfiche, and Hyland (OnBase). Kofax and FIS (Perceptive) Document Capture also emphasize routing into established downstream processing and audit-oriented workflows.
How We Selected and Ranked These Tools
we evaluated every tool on three sub-dimensions with features weighted at 0.4, ease of use weighted at 0.3, and value weighted at 0.3. The overall rating uses the weighted average overall = 0.40 × features + 0.30 × ease of use + 0.30 × value. Kofax separated from lower-ranked tools on the features dimension because it combines advanced recognition and workflow orchestration that supports configurable routing for straight-through processing and exception handling. Kofax Express placed below Kofax because its capture-to-routing automation is more streamlined and less deep in enterprise workflow orchestration, which reduces time-to-value but also limits flexibility for complex exception designs.
Frequently Asked Questions About Check Scanning Software
Which tool is best for high-volume check capture with exception handling?
Kofax is built for high-throughput check intake with automated routing, capture quality controls, and configurable processing steps for remittances and rejects at scale. Kofax Express also targets straight-through processing for finance teams by combining image capture, validation, and exception handling in a scan-to-workflow pipeline.
What’s the difference between an enterprise capture platform and a standalone check scanner?
Hyland OnBase positions check scanning as part of a broader document and case management workflow, using automatic indexing and routing into OnBase repositories. DocuWare takes a similar governed approach by using document classes with field-level indexing to drive workflow automation around check intake and approvals.
Which option fits multi-site operations that need standardized capture rules?
RICOH Ascent Capture supports batch scanning workflows with configurable recognition and classification rules for standardized processing across locations. FIS (Perceptive) Document Capture supports configurable document types and batch handling so check ingestion from scanners can be standardized across sites.
Which platforms extract check fields like payee and amount with minimal manual indexing?
ABBYY Vantage emphasizes template and model-driven recognition to extract structured fields such as payee, amount, and date from check images. Microsoft Azure AI Document Intelligence converts scanned checks into structured fields using layout understanding and form extraction that can capture payee and amount in automated pipelines.
How do cloud-based services compare with on-prem enterprise capture for document routing?
Microsoft Azure AI Document Intelligence integrates into Azure pipelines so extracted fields can be routed into downstream processing as part of broader cloud workflows. Google Document AI integrates tightly with Google Cloud storage and identity, and it outputs structured JSON via extraction schemas that can feed routing and business processes.
Which solution is strongest when checks must become audit-ready records inside an ECM repository?
Laserfiche uses automated ingestion, OCR, indexing, and configurable routing into a managed repository for searchable, audit-ready records. Hyland OnBase also emphasizes audit trails tied to business processes by feeding scanned check images into OnBase workflow routing with automatic indexing.
What integration and output patterns work well for existing back-office systems?
Kofax Express and Kofax both focus on capture-to-routing patterns that move check data into existing back-office systems through Kofax workflow components. RICOH Ascent Capture supports integration through established connectors and output options that fit existing finance systems handling capture outputs and extracted fields.
Which tool is better for teams managing noisy images or variable check quality?
ABBYY Vantage handles high-quality and moderately noisy images using model-driven recognition and configurable field templates to reduce manual corrections. Kofax focuses on capture quality controls and configurable processing steps so remittances and rejects can be handled consistently when input quality varies.
What common problem causes failed indexing for check scans and how do these tools address it?
Failed indexing usually results from incorrect extraction of key fields or inconsistent document classification, which ABBYY Vantage addresses using configurable field templates and model-driven extraction. FIS (Perceptive) Document Capture reduces misclassification by using configurable capture pipelines for check images and document-type classification that standardizes ingestion and output packaging.
Tools reviewed
Referenced in the comparison table and product reviews above.
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