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Data Science AnalyticsTop 10 Best Paper File Management Software of 2026
Ranking top paper file management software for document teams, with tradeoffs and comparisons of Paperless-ngx, Docspell, and OpenDocMan.
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
Tungsten Capture is the best fit when document teams need high-volume paper-to-digital capture with consistent metadata and enterprise-ready validation, whereas Folderit works better for mid-size teams that want folder-driven digitization and reliable retrieval without heavy workflow engineering.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Tungsten Capture
OCR-driven indexing configuration that ties extracted fields to repository ingestion for consistent search and retrieval.
Built for fits when document teams need high-volume capture automation with consistent metadata indexing into enterprise repositories..
Folderit
Editor pickFolderit’s folder taxonomy is a primary UI and retrieval axis tied to OCR text search results.
Built for fits when mid-size teams need folder-driven capture to archive and retrieve scanned records consistently..
OpenText Capture Center
Editor pickRules-driven capture workflow design that applies extraction, validation, and routing before repository commit.
Built for fits when enterprises need configurable capture workflows tied to ECM and controlled lifecycle governance..
Comparison Table
Tungsten Capture
enterpriseCapture platform for scanning, classification, extraction, and validation of paper and electronic documents.
OCR-driven indexing configuration that ties extracted fields to repository ingestion for consistent search and retrieval.
Tungsten Capture focuses on the capture subsystem that turns scanned images into structured document entries using OCR and configurable indexing rules. It supports batch scanning and deskew style image cleanup so scanned pages remain readable before classification and indexing occur. It also provides an integration-oriented output so captured results can be stored and searched in enterprise repositories that use standard content services.
A key tradeoff is that governance strength depends on how indexing fields are mapped into the repository layer and how downstream policies are configured. It fits teams that need repeatable capture automation for high-volume mail, forms, and back-office paperwork where consistent metadata tagging matters more than ad-hoc manual document handling.
- +Capture-first design with configurable OCR-based indexing rules
- +Batch scanning workflows support high-throughput capture operations
- +Image cleanup steps improve OCR reliability before classification
- +Integration focused output supports repository ingestion workflows
- –Indexing field mapping can require careful configuration with repositories
- –Workflow changes often need process tuning rather than quick edits
- –Advanced extraction accuracy depends on document quality and OCR settings
- –Governance outcomes depend on downstream retention and legal controls
AP operations teams
Capture supplier invoices from batches
Faster invoice lookup and filing
Insurance intake teams
Scan forms and supporting pages
Lower manual rework volume
Show 2 more scenarios
Shared services document teams
Standardize postroom mail capture
More consistent document processing
Capture automation applies repeatable metadata tagging across mixed mail documents.
Records management teams
Enforce retention mapping after capture
Cleaner lifecycle handling
Configured metadata fields enable repository rules to apply retention schedule logic after ingestion.
Best for: Fits when document teams need high-volume capture automation with consistent metadata indexing into enterprise repositories.
Folderit
SMBCloud document management system with scanning upload and paper file digitization for small organizations.
Folderit’s folder taxonomy is a primary UI and retrieval axis tied to OCR text search results.
Folderit targets document teams that want paper capture to land in a predictable folder taxonomy with consistent metadata tagging. It supports OCR during capture and couples the extracted text with searchable document records. Document lifecycle tasks like versioning and workflow steps map to day-to-day filing and approval patterns. Admin tooling focuses on repository configuration and access control so teams can govern where files can be stored and who can view them.
A key tradeoff is that Folderit’s folder-first structure can feel restrictive when teams need deep metadata schema customization across many document types. Folderit works well when scan-to-archive operations already follow an agreed taxonomy, and when search needs to be driven by the text extracted from scanned files.
- +Folder-first navigation keeps retrieval aligned with existing file habits
- +OCR-backed search reduces reliance on perfect manual metadata entry
- +Workflow steps support repeatable routing for approvals and handling
- +Repository access control supports departmental separation
- –Metadata schema flexibility can lag teams with highly variable document fields
- –Exception handling for out-of-taxonomy documents needs process discipline
Records and document control
Scan-and-file incoming paper batches
Faster retrieval for audits and requests
Legal operations teams
Route case documents for review
Reduced handling errors across reviewers
Show 1 more scenario
AP and finance ops
Classify invoices by folder rules
Quicker invoice lookup during processing
Captured documents enter a controlled repository where staff locate prior invoices via OCR text and metadata.
Best for: Fits when mid-size teams need folder-driven capture to archive and retrieve scanned records consistently.
OpenText Capture Center
enterpriseDocument capture software for scanning paper files, extracting data, and routing records into content systems.
Rules-driven capture workflow design that applies extraction, validation, and routing before repository commit.
Capture Center is used to build an ingestion pipeline that turns scanned pages into indexed documents using OCR and configurable extraction rules. Document sets can be processed in batches, with preprocessing steps for image readiness and structured metadata assignment before storage. Repository integration is a key strength, with export and connector patterns that fit enterprise ECM deployments and reduce manual post-scan work.
A tradeoff is that workflow design and extraction rules require an admin-led configuration cycle to reach consistent OCR accuracy and metadata quality. It fits scan-to-archive and backfile conversion when document types are known and teams can iterate on field mappings, routing logic, and validation checks.
- +Configurable ingestion workflows reduce manual document sorting
- +OCR indexing produces searchable fields for later retrieval
- +Batch processing supports high throughput scanning operations
- +Audit trails help governance and troubleshooting across capture steps
- –Workflow and extraction tuning needs admin configuration discipline
- –Complex routing and validation can increase implementation effort
- –Consistent results depend on document quality and template coverage
- –Advanced setups may require tight coordination with the repository layer
AP operations teams
Invoice batch capture with auto-indexing
Faster routing to approvals
Records management teams
Retention-aligned scan-to-archive
Lower compliance risk
Show 2 more scenarios
Document imaging teams
Backfile conversion with standardized metadata
Improved findability
Processes legacy scans in batches and normalizes fields for search and downstream processing.
IT integration teams
ECM ingestion with controlled auditability
Cleaner troubleshooting
Integrates capture output into an enterprise repository and tracks capture steps for traceability.
Best for: Fits when enterprises need configurable capture workflows tied to ECM and controlled lifecycle governance.
Neat
SMBCloud-based scanning and document management software for receipts, invoices, and paper documents.
An end-to-end scan-to-index workflow that keeps OCR and tagging tightly coupled to filing.
Neat is a paper file management system that focuses on capture and document organization for small to mid-sized document teams. The Neat workflow centers on scanning, image-to-text extraction, and building a searchable repository with metadata and tags that support day-to-day filing. Compared with paperless-style systems, Neat ties the capture experience and indexing output together tightly, which reduces the gap between scan output and usable documents.
- +Capture-first workflow reduces time from scan to searchable documents
- +OCR output is immediately usable for search and indexing
- +Metadata tagging supports faster retrieval than filename-only filing
- +Document cleanup tools help reduce scan artifacts before filing
- –Advanced governance controls are lighter than enterprise records systems
- –Workflow automation and routing are limited compared with document management suites
- –Bulk ingestion and large batch throughput tools feel less built for scale
- –Integration depth for existing content platforms is narrower than larger competitors
Best for: Fits when small teams need capture-to-search filing with light governance and minimal workflow engineering.
Dokmee
SMBDocument management software with scanning, OCR, and file indexing for paper-to-digital workflows.
Configurable document indexing that ties extracted text to structured metadata fields for reliable retrieval.
Dokmee is paper file management software that captures scanned documents, extracts text with OCR, and organizes documents into a searchable repository. It focuses on document indexing with configurable metadata fields and supports document workflow with routing and approvals.
The product provides retention and access controls for repository content and auditability of actions across the document lifecycle. Dokmee is best evaluated on how well its capture-to-classification pipeline fits existing office scanning practices.
- +Metadata-driven indexing improves repeatable search and classification
- +Configurable capture workflow supports batch processing of scanned documents
- +Document routing and approval steps support structured review cycles
- +Repository access controls help limit visibility by role
- –Workflow configuration requires careful upfront mapping of roles and states
- –Advanced search depends heavily on metadata completeness
- –OCR quality can vary when scans have low contrast or skewed pages
- –Deep integration needs additional implementation effort beyond core setup
Best for: Fits when teams need an end-to-end scan-to-repository workflow with metadata tagging and controlled approvals.
DEVONthink
vertical specialistMac-native document management application with scanning, OCR, and AI-assisted paper file organization.
Rules plus scripting can transform imported documents into a structured note and metadata graph automatically.
DEVONthink is a document management app built around a local repository that stores files and notes together while indexing content for fast retrieval.
Core workflows center on document indexing, metadata tagging, and OCR-based text extraction so queries can target both filenames and extracted content.
Automation is practical for batch intake because rules can route items, update metadata, and trigger additional processing after import.
Extensibility via scripting supports custom ingestion pipelines that map scanned artifacts into consistent folder and metadata structures.
- +Local database model keeps documents searchable offline with persistent metadata
- +Rules and scripting can automate tagging, routing, and derived notes after import
- +Highly granular full-text search works across file content and extracted text
- +Annotation, highlighting, and versioned notes support review-centric workflows
- –Automation and taxonomy rules can require setup discipline to stay consistent
- –Collaboration features are limited compared with multi-user enterprise repositories
- –External integrations depend on scripting and add-on choices rather than native connectors
- –High-volume intake setups can feel complex without a designed ingestion pipeline
Best for: Fits when teams need on-prem document collection with automated metadata tagging and deep search over long-lived records.
Ephesoft Transact
enterpriseIntelligent document processing software for capturing paper documents and classifying records with OCR.
Transact Studio workflow configuration connects capture results to automated document processing and downstream actions.
Ephesoft Transact targets automated document capture and processing rather than only storage and folder browsing. It uses a configurable ingestion pipeline with OCR and document classification steps to populate metadata and drive downstream workflows.
The system emphasizes process automation across batch scan intake, indexing, and record lifecycle controls, with an integration layer for connecting repository and business systems. The result is an enterprise-grade document management approach built around capture-to-workflow throughput.
- +Configurable ingestion pipeline supports capture to workflow automation
- +Document classification and metadata extraction reduce manual indexing
- +Batch-oriented processing fits high-volume capture environments
- +Integration focus supports connecting capture results to enterprise systems
- –Workflow design typically requires more setup than simpler DMS tools
- –More administration is needed to manage model behavior and extraction quality
- –Limited suitability for teams wanting lightweight folder-first document filing
- –Advanced automation depth can increase dependency on implementation resources
Best for: Fits when mid-market to enterprise teams need capture automation with governed workflows and enterprise integrations.
FileHold
SMBDocument management software with scanning, OCR, indexing, records control, and workflow automation.
Legal hold management tied to retention and document lifecycle actions, with audit trail coverage across changes.
FileHold is a paper file management system built around an on-premises document repository with configurable capture-to-archive flows. It supports document indexing with metadata tagging and full-text search so scanned files can be retrieved by content and fields.
FileHold also provides records management features such as retention policy handling and legal hold workflows for defensible disposition. Admins can enforce governance through user roles, audit logging, and controlled lifecycle actions across document versions.
- +Configurable capture-to-archive workflow with lifecycle actions and handoffs
- +Metadata tagging plus full-text search for fast retrieval of scanned documents
- +Retention policy and legal hold workflows for controlled records management
- +Audit trail and role-based controls for traceable, governed file changes
- –Workflow and governance require careful configuration to match real filing rules
- –OCR quality depends on source scans and may need tuning for best results
- –Deep integration typically depends on available connectors and custom work
- –Large-scale migrations can be heavy if legacy metadata mappings are incomplete
Best for: Fits when regulated teams need governed paper-to-digital workflows with retention and legal hold.
Paperless-ngx
SMBOpen source document management system for scanning, OCR, tagging, and archiving paper documents.
Built-in document matching and classification rules that move new scans into the right tags and folders based on OCR-extracted content.
Paperless-ngx ingests scanned documents, runs OCR, and builds a searchable repository from extracted text. It supports configurable document indexing with metadata fields, file classification via rules, and attachment handling for linked scans.
Users can automate intake through signals like form-like workflows and task automation, then refine storage layout using tag and document-level permissions. Built as an on-premises deployment, it fits teams that want direct control over the ingestion pipeline, indexing database, and retention behavior.
- +On-premises deployment keeps the ingestion pipeline under direct control
- +Document intake supports OCR indexing and metadata-driven search
- +Rules and workflows can classify documents without manual renaming
- +Exports and imports support moving documents between instances
- –RBAC and audit logging require careful configuration to match policies
- –Setup for storage backends and OCR quality tuning takes time
- –Workflow automation is strong for classification, weaker for complex routing
- –Bulk scanning and throughput tuning depends on external scanner settings
Best for: Fits when small to mid-size teams need OCR-based filing with on-prem control over intake and search.
LogicalDOC
SMBDocument management system with OCR, workflow, metadata indexing, and archival tools for scanned records.
Workflow configuration with scripting hooks for ingestion and routing logic without replacing the repository layer.
LogicalDOC targets teams that need on-premises document repositories with workflow controls for records and business files. It provides document indexing, metadata tagging, full-text search, and configurable document lifecycle flows for check-in and approval steps.
Automation is supported through scripting hooks and workflow configuration, which helps standardize ingestion and routing without building a custom system. Administration centers on repository roles and audit-oriented activity history for accountability across teams.
- +On-premises deployment option for teams with internal governance needs
- +Workflow-driven routing for approvals and document lifecycle steps
- +Strong metadata and full-text indexing for practical search usability
- +Scripting and extension points for custom ingestion and governance steps
- –Workflow configuration can require careful governance to avoid inconsistent routing
- –OCR and scan quality tuning is not as turnkey as dedicated capture platforms
- –Advanced governance such as legal hold needs deliberate setup and validation
- –User management and permissions planning take time in multi-team deployments
Best for: Fits when mid-size teams need an on-prem document repository with configurable workflows and indexing-first retrieval.
Conclusion
After evaluating 10 data science analytics, Tungsten Capture 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 paper file management software
Paper file management software turns paper intake into searchable, governed records by combining scan capture, OCR extraction, and metadata-driven filing. This guide covers Tungsten Capture, Folderit, OpenText Capture Center, Neat, Dokmee, DEVONthink, Ephesoft Transact, FileHold, Paperless-ngx, and LogicalDOC with emphasis on how they push captured fields into retrieval and lifecycle actions.
After the individual tool reviews, the comparison focuses on how each platform treats the capture-to-repository ingestion pipeline, the automation surface available for routing and indexing, and the control depth available for governance and audit-style traceability. Tungsten Capture is positioned as the top option for OCR-driven indexing configuration that ties extracted fields to repository ingestion.
Paper-to-digital capture and governed filing with OCR-driven indexing and workflow routing
Paper file management software digitizes paper via scan and OCR extraction, then uses the extracted content to classify documents, attach metadata, and route files into a repository or archive structure. The category is not just scanning or storage. It is the ingestion pipeline that connects extracted fields to tags, folders, and downstream workflow steps.
Tungsten Capture illustrates an OCR-driven indexing configuration model where extracted fields are mapped into repository ingestion rules for consistent search and retrieval. OpenText Capture Center uses rules-driven capture workflows that apply extraction, validation, and routing before a repository commit, which makes it more governance-oriented for enterprises that need capture control. Folderit shows a folder-first approach where folder taxonomy becomes the primary UI and retrieval axis tied to OCR text search results.
Capture-to-repository ingestion controls that drive filing and retrieval
Paper file management software lives or dies by the ingestion pipeline that turns scans and OCR output into repository-ready records. The feature set should show where extracted fields land, how routing changes behavior, and how later search stays consistent with capture decisions.
The following criteria focus on concrete mechanisms that affect throughput, metadata consistency, and governance. Tools differ most in whether they treat OCR extraction as a post-processing step or as a first-class driver for indexing rules, folder taxonomy, and workflow actions.
OCR-driven indexing rules that map extracted fields into ingestion
Tungsten Capture ties OCR-driven fields to repository ingestion rules so search and retrieval stay consistent across document types. Dokmee uses configurable document indexing that ties extracted text to structured metadata fields for reliable retrieval.
Rules-driven capture workflow that applies extraction, validation, and routing before commit
OpenText Capture Center designs capture workflows that apply extraction, validation, and routing before repository commit. Ephesoft Transact uses Transact Studio workflow configuration to connect capture results to automated document processing and downstream actions.
Folder taxonomy as the primary retrieval axis tied to OCR search
Folderit makes folder taxonomy the primary UI and retrieval axis tied to OCR text search results. Paperless-ngx uses built-in document matching and classification rules that move new scans into the right tags and folders based on OCR-extracted content.
Governed lifecycle actions that include legal hold and audit-style traceability
FileHold anchors legal hold management to retention and lifecycle actions with audit trail coverage across changes. FileHold also supports metadata tagging plus full-text search to retrieve scanned documents once lifecycle states change.
Automation depth using local rules or scripting hooks for ingestion
DEVONthink supports rules plus scripting that transforms imported documents into a structured metadata graph for deep search over long-lived records. LogicalDOC provides workflow configuration with scripting hooks for ingestion and routing logic without replacing the repository layer.
Pick by how the tool turns OCR output into filing, workflow actions, and governance
Start with the capture-to-repository ingestion pipeline and decide whether OCR extraction should be the driver of filing and routing or a secondary output. Each product in this guide handles ingestion differently, so the right decision path depends on whether metadata consistency comes from indexing rules, folder taxonomy, or governed workflow steps.
Next, choose the operational model for tuning and change control. Tungsten Capture and Folderit reduce manual metadata burden through capture-first indexing and folder-aligned retrieval, while OpenText Capture Center and FileHold shift effort into workflow and governance configuration.
Choose OCR-to-ingestion mapping when consistent metadata is the main retrieval requirement
Select Tungsten Capture when OCR extraction must feed repository ingestion rules that keep search aligned with the capture configuration. Select Dokmee when structured metadata fields must be populated from extracted text so classification and search stay repeatable across batch processing.
Choose rules that validate and route before repository commit for controlled lifecycle capture
Select OpenText Capture Center when ingestion must enforce validation and routing logic before committing to an enterprise repository. Select Ephesoft Transact when capture results need a governed ingestion pipeline that drives automated downstream processing via Transact Studio workflow configuration.
Choose folder-driven retrieval when users already file by folder habits
Select Folderit when folder taxonomy is the primary UI and retrieval axis and OCR text search should map to that browsing structure. Select Paperless-ngx when new scans should be classified into tags and folders using built-in matching rules based on OCR-extracted content.
Choose lifecycle governance features when retention and legal hold are part of the capture-to-archive workflow
Select FileHold when legal hold management must be tied to retention and lifecycle actions with audit trail coverage across changes. Use FileHold when teams also need metadata tagging plus full-text search for retrieval after lifecycle transitions.
Choose scripting and local rules when the goal is deep personal or departmental organization over long-lived collections
Select DEVONthink when on-prem document collection needs local database persistence and automated tagging after import via rules and scripting. Select LogicalDOC when on-prem repository workflows require scripting hooks for ingestion and routing logic while keeping repository operations separate.
Decide based on configuration workload and tuning risk for OCR quality and workflow changes
Select Tungsten Capture when teams can invest in OCR field mapping configuration to get consistent indexing and search. Avoid assuming quick iteration for complex capture-routing adjustments by pairing workflow-driven products like OpenText Capture Center or Ephesoft Transact with time for admin configuration discipline.
Document teams that benefit from governed capture-to-repository ingestion
Teams that handle recurring paper intake get the most value when capture decisions directly shape indexing, routing, and later search. The best fit depends on whether filing consistency should come from OCR-to-index mapping, folder taxonomy aligned with user habits, or enterprise workflow validation and governance.
Organizations also differ in how much they want to manage governance configuration versus how much they want to rely on built-in classification behavior. Tools with stronger workflow and governance constructs often require more setup to match real filing rules.
High-volume capture teams standardizing metadata across many document types
Tungsten Capture fits when high-throughput capture needs OCR-based indexing rules that tie extracted fields into repository ingestion behavior. Dokmee also fits when batch processing requires extracted text to populate structured metadata fields for repeatable search.
Enterprises that require validation and routing logic before repository commit
OpenText Capture Center fits when controlled lifecycle governance requires extraction, validation, and routing applied before commit. Ephesoft Transact fits when capture automation must connect to workflow actions and downstream steps via studio-configured pipelines.
Departments that file by folders and want retrieval to mirror those habits
Folderit fits when folder taxonomy is the primary UI and OCR-backed search should align with folder navigation. Paperless-ngx fits when small to mid-size teams want OCR-based filing into tags and folders using built-in classification rules.
Regulated teams that need legal hold tied to retention actions
FileHold fits when records retention and legal hold management must be part of document lifecycle actions with audit trail coverage across changes. Its metadata tagging and full-text search support retrieval even after lifecycle state updates.
On-prem knowledge workers or small teams building custom automation around imported documents
DEVONthink fits when local database persistence supports offline search with rules and scripting that build metadata graphs automatically. LogicalDOC fits when on-prem workflows need scripting hooks for ingestion and routing without replacing the repository layer.
Common paper-file management purchase and implementation pitfalls
Many teams misjudge capture-to-repository ingestion effort because they focus on scan quality or storage while underestimating how OCR output, indexing rules, and routing logic must stay consistent. The failure mode is usually inconsistent metadata tagging, misfiled documents, or workflows that behave differently across teams.
Assuming OCR extraction quality alone fixes filing accuracy
Tungsten Capture and Dokmee both depend on mapping extracted fields into ingestion or metadata fields, so poor mapping or incomplete field definitions will still produce weak search results. Teams should plan mapping and tuning work as part of the ingestion pipeline, not as an afterthought.
Treating workflow and routing rules as something that can be changed without process discipline
OpenText Capture Center and Ephesoft Transact require admin configuration discipline because routing and validation tuning can change downstream behavior. LogicalDOC and Folderit also need governance discipline when documents fall outside expected taxonomy or routing logic.
Over-optimizing for folder navigation while ignoring metadata completeness requirements
Folderit relies on folder taxonomy tied to OCR search results, so out-of-taxonomy documents still require exception handling process discipline. Dokmee depends heavily on metadata completeness for advanced search, so missing metadata will limit retrieval even when OCR succeeds.
Buying lifecycle governance without validating legal hold and audit-style traceability coverage
FileHold is designed to tie legal hold to retention and lifecycle actions with audit trail coverage across changes. Teams that need that control depth should verify lifecycle configuration effort instead of assuming generic DMS workflows cover legal hold requirements.
Ignoring collaboration and multi-user governance impact when choosing local-only repositories
DEVONthink keeps documents searchable offline with a local database model, but collaboration is limited compared with multi-user enterprise repositories. Teams that require shared capture-to-ingestion governance should account for that constraint when selecting a more local automation model.
How We Selected and Ranked These Tools
We evaluated each tool across capture and ingestion configuration depth, workflow automation coverage, and operational fit for document teams. Features carried the highest weight at 40% because the ingestion pipeline differences in OCR-driven indexing rules, routing, and lifecycle actions drive real filing outcomes.
Ease and value each carried 30% because capture teams still need predictable setup effort and usable tuning paths for extraction and routing behavior. Tungsten Capture ranked highest because OCR-driven indexing configuration ties extracted fields directly into repository ingestion, which creates consistent search and retrieval for high-volume capture workflows.
Frequently Asked Questions About paper file management software
How do Tungsten Capture and Ephesoft Transact differ in capture-to-index automation?
Which tool fits when paper documents must land directly in an existing enterprise repository with governed lifecycle controls?
What breaks if document indexing rules are inconsistent between scan batches in a paper file workflow?
How does DEVONthink handle long-lived records compared with Paperless-ngx for paper-based collections?
When does folder taxonomy matter more than tag-first search, and which tool uses it as a primary retrieval axis?
Which systems provide admin-level access control and audit trails for document lifecycle changes?
How can teams automate routing and processing beyond basic scan-to-store filing?
What is the technical implication of local-first versus on-prem repository deployment for integration and storage control?
Which tool best fits check-in or approval routing needs with auditability for business documents?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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