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Technology Digital MediaTop 10 Best OCR Document Management Software of 2026
Ranked list of the top ocr document management software, with criteria and tradeoffs for teams evaluating OCR tools like LogicalDOC and eFileCabinet.
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%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
LogicalDOC is the best pick when teams need OCR plus metadata-governed repository workflows that keep permissions and version history consistent, whereas M-Files fits if regulated groups want OCR capture routed by tightly controlled classification and audit-friendly workflows.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
LogicalDOC
REST API integration for pushing scanned documents and OCR-linked metadata into external systems.
Built for fits when teams need OCR search plus metadata-driven repository workflows under consistent governance..
eFileCabinet
Editor pickOCR-enabled searchable content is integrated into eFileCabinet’s records repository and permission workflow.
Built for fits when records teams need OCR-backed search inside a governed document repository..
FileHold
Editor pickManaged intake workflows combine classification rules with stored OCR text for metadata-filtered search.
Built for fits when teams need OCR capture plus governed repository workflows with metadata-driven retrieval..
Related reading
Comparison Table
OCR document management software matters because it turns scanned files into searchable, governed records with consistent metadata and audit-ready workflows. This ranked list targets teams evaluating capture throughput, indexing quality, API integration, and RBAC with workflow automation, using evidence from product capabilities and documented deployments rather than marketing claims.
LogicalDOC
SMBDocument management software with OCR, full-text search, version control, permissions, and workflow tools.
REST API integration for pushing scanned documents and OCR-linked metadata into external systems.
LogicalDOC is a content repository designed for document-centric workflows where OCR output must be immediately searchable and tied to metadata. OCR results feed full-text indexing so users can retrieve files by extracted text instead of page images. Batch import and indexing automation help when high-volume capture needs consistent fields and repeatable organization.
A tradeoff appears when deployments need deep OCR tuning for complex layouts, because layout-specific accuracy often depends on configuration and document prep. LogicalDOC fits when scanned invoices, forms, or back-office records require controlled storage, searchable text, and repeatable workflow actions after capture.
- +REST API supports external indexing, workflow, and repository integration
- +OCR-to-search pipeline enables retrieval by extracted text content
- +Metadata and document versioning keep capture results tied to records
- +Batch import workflows reduce manual steps after high-volume scanning
- –OCR accuracy on complex layouts depends on configuration and input quality
- –Advanced workflow governance requires deliberate setup of roles and states
- –Large repositories may need tuning for indexing throughput
- –Some OCR pipeline behaviors rely on instance-specific configuration
Back-office operations teams
Searchable archive for scanned invoices
Faster invoice retrieval
Compliance and records staff
Versioned retention-aware document handling
Lower rework in audits
Show 2 more scenarios
System integration engineers
Automated classification via REST API
Less manual indexing
External services can trigger repository actions after capture and OCR-linked indexing updates.
Customer support teams
Find claims using extracted text
Reduced time to case evidence
Search over OCR output helps locate relevant claim packets across scans and revisions.
Best for: Fits when teams need OCR search plus metadata-driven repository workflows under consistent governance.
More related reading
eFileCabinet
SMBCloud document management software with OCR search, secure sharing, workflow automation, and retention controls.
OCR-enabled searchable content is integrated into eFileCabinet’s records repository and permission workflow.
eFileCabinet supports OCR for converting scanned inputs into searchable content, which reduces manual lookup during day-to-day records retrieval. Teams can store documents in a controlled repository and attach metadata to improve filtering during investigations and audits. Administrative controls cover user access and tracking so governance teams can monitor changes across the document lifecycle. Automation is oriented around routing and rules inside the document management workflow rather than standalone capture scripting.
A tradeoff appears when OCR extraction quality varies across scan quality and source layouts, because higher-fidelity results often require clean scans and consistent templates. The best usage situation fits departments that already run a records workflow and want OCR added to that same repository and permission model. It is less suited to organizations needing highly configurable OCR pipelines or build-your-own capture logic through an open developer-first API.
- +OCR text output supports faster retrieval than image-only search
- +Records-style repository fits compliance-focused document lifecycles
- +Metadata and indexing improve findability without manual rework
- +Administrative tracking supports governance workflows
- –OCR results depend heavily on scan quality and consistent layouts
- –Automation depth is more workflow-based than developer-extensible
- –Advanced capture customization needs external process adjustments
Accounts payable operations
Search invoices from scanned batches
Faster invoice retrieval
Compliance and records staff
Find policy proofs during audits
Reduced audit handling time
Show 2 more scenarios
Legal operations
Review discovery documents by text
Shorter document review cycles
OCR indexing supports quick full-text lookup across archived case documents.
HR document management
Retrieve scanned employee forms
Lower retrieval effort
Metadata plus OCR search improves access control and reduces manual document browsing.
Best for: Fits when records teams need OCR-backed search inside a governed document repository.
FileHold
SMBDocument management software with OCR scanning, version control, approval workflows, and audit trails.
Managed intake workflows combine classification rules with stored OCR text for metadata-filtered search.
FileHold centers on a content repository where captured documents can be processed, indexed, and kept with metadata that supports later discovery. OCR is applied during ingestion so the system can store text extracted from images and enable full-text search across stored documents. Configuration supports document types and controlled metadata entry, which helps reduce freeform variation across departments. For governance, retention-aligned filing and audit-oriented traceability are supported through the repository workflow.
A practical tradeoff is that deeper automation and tailoring of capture behavior typically require more upfront configuration of document types, fields, and processing rules. FileHold fits best when intake needs consistent classification at scale and when teams rely on repository search and metadata filters instead of ad hoc folder browsing. It is less ideal when OCR is only needed as a one-off conversion tool because value comes from the managed repository and governed workflow around it.
- +OCR text is stored with repository documents for immediate search
- +Configurable document types and metadata reduce filing inconsistencies
- +Workflow-based intake supports repeatable capture and processing
- +Repository permissions help maintain access boundaries across teams
- –Automation tuning depends on well-structured document type configuration
- –Complex capture scenarios may require system customization effort
- –OCR quality varies by source image quality and layout complexity
- –Advanced integration scenarios can take additional implementation work
Accounts payable teams
Scan invoices then search by fields
Reduced manual document chasing
Legal operations teams
File mixed exhibits and amendments
Fewer misfiles, faster review
Show 2 more scenarios
Compliance and records teams
Centralize retention-aware document handling
Improved control over records
Repository workflows align captured documents with governed storage and traceable activity.
IT and system integration teams
Connect capture to existing document flows
More consistent intake at scale
Integration and API surface support automation around ingestion, indexing, and repository operations.
Best for: Fits when teams need OCR capture plus governed repository workflows with metadata-driven retrieval.
M-Files
enterpriseDocument management software with OCR, metadata classification, workflow automation, and controlled document access.
Metadata-driven document records management that uses OCR-extracted content as searchable fields inside governed workflows.
M-Files is positioned for document management that pairs OCR output with metadata-driven records management. Its capture-to-classification workflow is built around structured information extraction, so scanned content can be searched and organized by business properties rather than folders alone.
M-Files also supports automation through its API and workflow mechanisms, which helps connect OCR results to downstream processing like routing and retention. Enterprise governance features such as RBAC and audit logging support controlled access to OCR-derived documents and extracted fields.
- +Metadata-first records organization ties OCR content to governed attributes
- +API supports automation of OCR classification outputs into workflows
- +Audit trail supports traceability for document access and changes
- +RBAC controls access to scanned documents and extracted fields
- –OCR quality depends heavily on input image quality and scanning settings
- –Deep automation needs workflow design and admin discipline to avoid rework
- –Handwritten text recognition and OCR confidence handling require careful validation steps
- –Full capture-to-processing throughput can be limited by document ingestion design
Best for: Fits when regulated teams need OCR capture tied to metadata, audit trail, and workflow-driven routing.
DocuWare
enterpriseCloud document management software with OCR indexing, workflow automation, forms, and compliance controls.
DocuWare workflow automation ties OCR-driven indexing and document handling to document types and approvals in one configurable process.
DocuWare captures scanned documents and OCR text, then routes and files them into a managed document repository. Its workflow automation centers on configurable indexing, classification, and approval paths tied to document types and metadata.
DocuWare also supports enterprise deployment patterns with admin controls for access and retention aligned to records management needs. Integration depth is driven by documented APIs and Microsoft 365 connectivity for linking captured content to business systems.
- +Configurable document-type workflows with metadata indexing and routing
- +Extensible integration surface via REST API and content operations
- +Enterprise governance with RBAC and audit-trail style operational logging
- +Document capture supports batch intake and repository-ready outputs
- –OCR quality depends on document prep and configured recognition settings
- –Full automation requires careful mapping of document types to fields
- –Admin and workflow configuration can take time for complex use cases
- –Advanced edge-case capture often needs iterative tuning cycles
Best for: Fits when mid-size enterprises need OCR-driven routing, governed access, and API-driven integration.
OpenText Content Management
enterpriseEnterprise content management software supporting OCR capture, governance, records, and document workflows.
Workflow-driven OCR processing that pushes extracted text and metadata into the Content Management repository for governed retrieval.
OpenText Content Management fits organizations that need governed document intake and enterprise content services around OCR outputs. It supports automated capture workflows that produce searchable text-layer artifacts and store them with business metadata for retrieval and downstream processing.
Administrators can apply RBAC-style access controls, retention-oriented records handling concepts, and audit visibility for content lifecycle governance. Integration depth is centered on enterprise system connectivity and API-driven extensibility rather than standalone OCR dashboards.
- +Enterprise governance controls for content access and lifecycle
- +API and workflow extensibility for intake and post-OCR actions
- +Searchable document outputs designed for repository retrieval
- +Scales intake through managed workflow execution and indexing
- –OCR capture configuration depends on connected capture components
- –Handwritten text recognition coverage varies by pipeline setup
- –Batch scanning and separation rules require careful governance design
- –OCR validation workflows need external orchestration for HIL loops
Best for: Fits when large teams need governed intake and repository-backed OCR outputs with enterprise integrations.
ELO Digital Office
enterpriseDocument management software with OCR, electronic filing, records management, and business process workflows.
ELO’s Records Management capabilities tie OCR-extracted metadata to retention and disposal workflows inside the same repository.
ELO Digital Office pairs document capture, OCR, and enterprise records management in one governed content repository. Automation is driven by workflow configuration and indexing rules that map extracted text into metadata and search fields.
Admin controls focus on permissioning, audit history, and lifecycle handling for stored documents and their versions. Integration coverage centers on connectors and APIs that support document routing and back-office retrieval.
- +Versioning and retention controls support governed records lifecycles
- +Workflow-driven indexing turns OCR output into searchable fields
- +Permissioning and audit history strengthen compliance-style traceability
- +Document capture pipelines handle common scan and import formats
- –Advanced capture and classification often needs careful configuration
- –Handwritten text recognition quality can vary by document layout
- –Some OCR tuning requires admin involvement rather than per-user settings
- –External system integration typically needs partner connectors or API work
Best for: Fits when mid-size enterprises need OCR-enabled filing with strong lifecycle governance and workflow automation.
Revver
SMBCloud document management software with OCR text recognition, electronic signatures, templates, and workflows.
Document routing and post-processing automation that ties extracted results to downstream system actions.
Revver is an OCR document management system that organizes captured documents into a governed workflow for indexing and retrieval. It focuses on extracting text from files and making results actionable through searchable content and document-level metadata capture.
Revver also provides automation hooks for routing documents through processing steps and syncing status for downstream use. Administration centers on controlling access to repositories and ensuring repeatable capture and review behavior across teams.
- +Workflow-based capture setup with repeatable document processing steps
- +Searchable document outputs that support quick retrieval of extracted text
- +Metadata extraction tied to each ingested document for consistent filtering
- +Automation hooks for pushing documents to external systems after processing
- –OCR configuration depth can require experimentation to reach stable extraction quality
- –Limited visibility into OCR confidence scoring compared with OCR-first suites
- –Advanced classification automation depends on external logic for complex rules
- –User and document permissions require careful design to prevent overexposure
Best for: Fits when teams need governed document capture and searchable indexing with automation to systems of record.
DocStar
SMBDocument management software with OCR capture, intelligent indexing, workflow automation, and audit trails.
Retention policies and an audit trail are applied to managed document records, not just OCR output artifacts.
DocStar performs OCR document capture and turns scanned files into searchable documents inside a managed repository. It supports automated ingestion for batches of PDFs and images, followed by indexing so users can find documents by extracted text.
The system adds document lifecycle controls such as retention and audit logging, which helps records-oriented teams keep traceability. Integration coverage centers on document workflows and directory-aware user management for administrative governance.
- +OCR output is directly usable for search and review workflows
- +Batch ingestion supports high-volume document capture without manual reordering
- +Retention and audit trail align with records-management expectations
- +User access controls integrate with enterprise identity patterns
- –Advanced OCR tuning requires more admin setup than basic capture
- –Metadata extraction coverage can lag behind fully schema-driven systems
- –API surface focuses on document actions rather than deep workflow automation
- –Document separation automation is limited for complex, mixed page batches
Best for: Fits when records teams need searchable OCR plus retention and audit trace across high-volume capture queues.
Laserfiche
enterpriseEnterprise content management software with OCR, records management, forms, and process automation.
Human-in-the-loop review tooling lets staff validate OCR text before records become searchable for high-risk documents.
Laserfiche is an OCR document management system that focuses on turning scanned documents into searchable records inside a content repository. Core capabilities include capture of common image formats, OCR text extraction with confidence reporting, and document-centric workflows that attach extracted text and metadata to records.
Admin controls cover user and group access, retention-oriented records governance, and audit visibility for content and workflow changes. Integration coverage is built around enterprise connectivity and workflow automation so OCR results can flow into downstream systems.
- +Strong records governance features for retention and access control
- +OCR output can be used for search and indexing within records
- +Audit trail supports traceability for document and workflow actions
- +Workflow automation can route OCR text and metadata to processes
- –OCR tuning can require careful configuration for consistent results
- –Advanced classification workflows need governance discipline to avoid drift
- –Integration depth varies by target system and may require connectors
- –Large batches can stress processing queues without staged processing
Best for: Fits when records teams need OCR-driven indexing and controlled document workflows without building custom capture services.
Conclusion
After evaluating 10 technology digital media, LogicalDOC 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 ocr document management software
This buyer's guide covers LogicalDOC, eFileCabinet, FileHold, M-Files, DocuWare, OpenText Content Management, ELO Digital Office, Revver, DocStar, and Laserfiche for OCR-driven document capture and managed repositories.
Each section maps practical selection criteria to concrete behaviors in these tools, including integration depth, automation and API surface, and admin governance controls around OCR output and workflow execution.
OCR-to-repository document management for searchable records, metadata, and governed workflows
OCR document management software turns scanned pages and mixed input files into searchable text-layer outputs and then stores documents as governed records with extracted fields.
It solves retrieval pain when teams need full-text search on images, metadata-driven filing, versioned document lifecycles, and audit visibility across intake, routing, approvals, and retention.
LogicalDOC shows one end of the spectrum with OCR-to-search plus a REST API for pushing scanned documents and OCR-linked metadata into external systems. ELO Digital Office shows another end with OCR-extracted metadata tied to retention and disposal workflows inside the same repository.
OCR indexing behavior, repository data binding, and automation control depth
OCR indexing only matters if extracted text and fields stay attached to the right document record and remain searchable inside the repository.
Automation and API surface matter when capture and downstream processing must be orchestrated across systems. Admin and governance controls matter when teams need RBAC, audit visibility, and retention handling for OCR-derived content and extracted fields.
OCR-to-search content stored with repository records
LogicalDOC, FileHold, and eFileCabinet store OCR text output so users can search without re-opening original images. DocStar also applies retention and audit trail to managed document records, not just OCR artifacts, which keeps OCR output tied to governed content.
Metadata-first classification built from OCR-extracted content
M-Files and DocuWare use document types, fields, and classification logic to organize OCR results into business properties rather than folder paths. FileHold adds configurable document types and metadata so OCR text supports metadata-filtered search during intake workflows.
Workflow-driven indexing, routing, and approvals tied to document types
DocuWare ties OCR-driven indexing and document handling to document types and approval paths inside one configurable process. ELO Digital Office and OpenText Content Management focus on workflow configuration that maps extracted text into searchable fields and routes documents into retention-oriented lifecycle handling.
REST API and extensibility for OCR-linked intake and indexing
LogicalDOC provides a standout REST API for pushing scanned documents and OCR-linked metadata into external systems. DocuWare also provides an extensible integration surface via REST API and content operations, while M-Files supports automation through its API for routing OCR classification outputs.
Admin governance for OCR-derived fields and access control
M-Files includes RBAC controls for access to scanned documents and extracted fields and adds audit trail for traceability. OpenText Content Management and ELO Digital Office emphasize enterprise governance controls for content access and lifecycle visibility, including audit visibility for document and workflow actions.
Human-in-the-loop validation for high-risk OCR output
Laserfiche includes human-in-the-loop review tooling so staff can validate OCR text before documents become searchable. This approach reduces the risk of indexing incorrect text when layouts are inconsistent or when documents carry high impact.
A governed capture-to-index decision path for OCR document management
Start by matching the OCR search and metadata binding model to the way documents must be filed and retrieved in the repository.
Then confirm whether automation must be developer-driven via REST APIs or operator-driven via workflow configuration, and verify that admin controls cover both documents and extracted fields.
Map search and filing to the record model used by the product
If searchable text must live inside a governed records repository and be retrievable fast, eFileCabinet and FileHold align with records-centric intake plus metadata-driven retrieval. If classification must be property-driven rather than folder-driven, M-Files organizes OCR content as searchable fields tied to business properties.
Choose workflow orientation based on how indexing and routing are configured
For teams that want OCR-driven indexing plus approvals tied to document types inside one configuration screen, DocuWare is built around configurable indexing, classification, and approval paths. For teams that need repository lifecycle handling such as retention and disposal workflows connected to OCR-extracted metadata, ELO Digital Office ties OCR metadata to Records Management outcomes.
Decide between API-first integration and workflow-first automation
When capture and indexing must be integrated with external systems using API-driven push and orchestration, LogicalDOC and DocuWare provide REST API endpoints and extensible content operations for linking OCR outputs and metadata into other workflows. When automation can be handled inside the platform using workflow steps and routing hooks, Revver and FileHold emphasize repeatable document processing steps and workflow-driven intake behavior.
Stress-test OCR quality expectations against the input types being scanned
If incoming documents have complex layouts or mixed quality scans, tools that tie OCR accuracy to configured recognition settings such as DocuWare and LogicalDOC may require tuning to stabilize extraction quality. If handwritten text or layout variability is frequent, OpenText Content Management and M-Files call out pipeline setup effects on handwritten recognition quality and OCR confidence handling.
Set governance scope for access control, audit trail, and retention impact
For regulated teams that require access control for both documents and extracted fields, M-Files provides RBAC and audit trail covering changes and access. For teams focused on audit visibility and retention-oriented lifecycle governance inside the repository, OpenText Content Management and DocStar apply audit trail and retention policies at the managed record level.
Add human validation when OCR output must be review-gated
When high-risk documents cannot be indexed until humans validate OCR text, Laserfiche offers human-in-the-loop review tooling before OCR text becomes searchable. If human validation is not required, tools like LogicalDOC and eFileCabinet can support direct OCR-to-search retrieval without a review gate.
Which teams benefit from OCR document management tied to governed records
OCR document management software fits teams that need searchable content extracted from scans and that must keep OCR output aligned with permissions, retention, and document lifecycles.
The strongest fit depends on whether the organization needs developer-driven integration, metadata-first classification, or review-gated OCR indexing.
Records and compliance teams that need OCR-backed search inside permissioned repositories
eFileCabinet and DocStar fit records workflows that require OCR text output for faster retrieval plus retention and audit trail aligned to document records. These tools emphasize searchable content integrated into the repository and governance-style administration of access and lifecycle actions.
Regulated teams that must file documents by extracted business properties with traceability
M-Files fits regulated routing that depends on metadata-driven document records management using OCR-extracted content as searchable fields. It also adds RBAC for scanned documents and extracted fields plus audit trail for traceability when extracted fields drive decisions.
Enterprises that must integrate OCR capture and indexing into external systems via APIs
LogicalDOC and DocuWare fit integration-heavy programs where scanned documents and OCR-linked metadata must be pushed into external systems. LogicalDOC stands out with a REST API integration for pushing scanned documents and OCR-linked metadata, while DocuWare couples REST API extensibility with workflow automation tied to document types.
Mid-size enterprises that need OCR-driven routing and approvals with configurable indexing
DocuWare and ELO Digital Office align with mid-size teams that need OCR-driven indexing connected to routing and approvals. DocuWare ties indexing and handling to document types and approvals, while ELO ties OCR-extracted metadata to retention and disposal workflows inside the same repository.
Teams handling high-risk OCR indexing that require human validation before documents become searchable
Laserfiche fits scenarios where staff must validate OCR text before documents become searchable for high-risk document handling. It reduces indexing risk by placing human-in-the-loop review tooling directly in front of searchable record creation.
OCR document management pitfalls that cause governance drift or unstable extraction
Many teams select OCR document management software by focusing on search alone and then discover that OCR outputs need consistent configuration and governance wiring.
Other teams automate capture without planning for workflow mapping, throughput constraints, or review gating for OCR confidence and layout variability.
Assuming OCR search works without tuning input quality and recognition settings
LogicalDOC and DocuWare both tie OCR results to configuration and document preparation, so unstable layouts often lead to extraction errors until recognition settings and scan practices are standardized. Run pilot batches using representative inputs before locking workflow rules that depend on OCR-derived fields.
Designing workflows without setting clear roles, states, and metadata type configuration
LogicalDOC and FileHold both call out that advanced workflow governance or intake tuning depends on deliberate setup of roles and document type configuration. Without a stable taxonomy and workflow state design, OCR text and fields get stored inconsistently and retrieval becomes noisy.
Overlooking that some products require external orchestration for OCR validation loops
OpenText Content Management and Revver both describe OCR validation workflows that can depend on pipeline setup and external orchestration for human-in-the-loop loops. If human validation is mandatory for compliance, Laserfiche offers human-in-the-loop review tooling built into the flow instead of relying on external orchestration.
Choosing automation targets without checking integration depth requirements
eFileCabinet emphasizes workflow-based automation that is more workflow-focused than developer-extensible, which can constrain complex automation compared with API-driven approaches in LogicalDOC. If the capture system must programmatically push documents and OCR-linked metadata into downstream systems, LogicalDOC’s REST API integration is the primary fit from this set.
Treating OCR output as separate from governed record retention and audit
DocStar applies retention policies and an audit trail to managed document records, which keeps governance aligned with OCR-backed content. Avoid workflows that store OCR artifacts without binding them to records and permissions in tools like M-Files where audit trail and RBAC cover extracted fields.
How We Selected and Ranked These Tools
We evaluated LogicalDOC, eFileCabinet, FileHold, M-Files, DocuWare, OpenText Content Management, ELO Digital Office, Revver, DocStar, and Laserfiche using criteria grounded in the capabilities each product described in its OCR capture, repository storage, workflow automation, and integration surface.
Each tool was scored on features, ease of use, and value, with features carrying the most weight in the overall rating and ease of use and value each contributing equally alongside it.
LogicalDOC placed highest in the set because its REST API integration supports pushing scanned documents and OCR-linked metadata into external systems, which connects OCR output to governance and automation control through an explicit developer surface.
Frequently Asked Questions About ocr document management software
How do OCR document management systems store text so users can search without reopening images?
Which platforms support OCR-linked REST API integration for pushing documents and metadata into an existing system?
When does OCR confidence and human validation become a requirement for downstream records handling?
What breaks if OCR confidence is low and the system relies on fully automatic filing?
How do document retention and audit trail features differ across records-focused OCR systems?
Which solutions use metadata-driven document modeling instead of folder-only organization after OCR?
How do admin controls and RBAC-style access differ between enterprise and mid-market deployments?
When is batch scanning and automated classification stronger than manual indexing for high-volume intake?
What deployment or integration constraint matters most when connecting OCR outputs to enterprise systems?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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