GITNUXSOFTWARE ADVICE
Storage Moving RelocationTop 10 Best Image Sorting Software of 2026
Ranking roundup of image sorting software for fast photo organization, comparing ACDSee Photo Studio, Excire Foto, PhotoPrism, plus Amazon Photos and Dropbox.
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
ACDSee Photo Studio is the safest fit for photographers who want local cataloging plus batch sorting with editing-ready metadata, whereas Excire Foto is the better choice when you’d rather let AI organize large archives and Lightroom Classic collections by content, quality, and similarity.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
ACDSee Photo Studio
People mode uses facial recognition to cluster portraits, assign names, and filter large libraries by person.
Built for fits when photographers need local cataloging, batch metadata work, and integrated RAW editing..
Excire Foto
Editor pickAI search retrieves visually similar photos and recognized people without requiring manual keyword construction.
Built for fits when photographers need local AI organization for large archives and Lightroom Classic collections..
PhotoPrism
Editor pickSelf-hosted TensorFlow indexing links detected faces, labels, locations, and visual similarities to searchable library views.
Built for fits when photographers need local AI sorting, browser search, and filesystem-level control over a large archive..
Related reading
Comparison Table
ACDSee Photo Studio
SMBPhoto management and editing suite with asset cataloging, batch sorting, and metadata tools.
People mode uses facial recognition to cluster portraits, assign names, and filter large libraries by person.
ACDSee Photo Studio supports folder-based browsing alongside a catalog database, letting photographers retain existing directory structures while adding collections and saved searches. People mode uses facial recognition to group portraits, and batch tools can rename, resize, convert, or update metadata across selections. RAW support, non-destructive Develop adjustments, and sidecar handling cover ingest through culling.
The desktop-first design limits shared review and browser-based access for distributed teams. ACDSee Photo Studio has no documented public API for custom ingest or catalog synchronization, and advanced AI functions depend on edition and operating system. It suits photographers who need local control over large libraries and integrated editing more than collaborative asset management.
- +Manage mode combines folders, cataloging, ratings, labels, and categories.
- +People mode groups portraits by detected faces.
- +Batch tools rename, resize, convert, and edit metadata.
- +RAW development and pixel editing reduce application switching.
- –Desktop-first workflows provide limited native multi-user review.
- –No documented public API supports custom ingest automation.
- –AI features and supported formats vary by edition.
- –Large catalogs require deliberate folder and database maintenance.
Professional portrait photographers
Recurring subject identification
Faster portrait retrieval
Wedding photographers
High-volume event culling
Shorter culling cycles
Show 2 more scenarios
Family photo archivists
Decades of local photos
Searchable family archive
Folder browsing, categories, keywords, and collections add structure without relocating original image files.
Small creative studios
Product image triage
Consistent asset preparation
Batch conversion, resizing, labeling, and RAW development prepare selected assets for marketing workflows.
Best for: Fits when photographers need local cataloging, batch metadata work, and integrated RAW editing.
Excire Foto
vertical specialistAI-powered photo management tool that automatically sorts images by content, quality, and similarity.
AI search retrieves visually similar photos and recognized people without requiring manual keyword construction.
Photographers can browse folders through a local catalog, group people with face recognition clustering, and find visually related images from a selected photo. Automatic keyword suggestions reduce repetitive tagging, while ratings, color labels, collections, and search filters support culling workflows. Excire Foto can also connect with Lightroom Classic through an available plugin.
The desktop-first design keeps photo access independent of a cloud library, but it limits shared administration and remote access. Excire Foto fits a photographer who wants to organize a large local archive, identify near-duplicates, and retrieve images by visual content without changing the original folder structure.
- +AI search finds people, subjects, and visually similar images
- +Local cataloging avoids mandatory cloud storage
- +Duplicate detection hashing helps reduce redundant files
- +Lightroom Classic integration supports established editing workflows
- –No documented public API supports external automation
- –Desktop deployment lacks shared team workspaces
- –Large libraries require an initial indexing process
- –Advanced DAM governance features are limited
Wedding photographers
Find guests across event folders
Faster guest photo retrieval
Travel photographers
Group similar destination scenes
Quicker portfolio selection
Show 1 more scenario
Family archivists
Reduce repeated family photos
Smaller organized archives
Duplicate detection hashing identifies redundant files before archive cleanup or backup consolidation.
Best for: Fits when photographers need local AI organization for large archives and Lightroom Classic collections.
PhotoPrism
SMBSelf-hosted AI photo management application that automatically classifies and sorts images by content.
Self-hosted TensorFlow indexing links detected faces, labels, locations, and visual similarities to searchable library views.
PhotoPrism performs EXIF parsing and extracts camera dates and GPS data for timeline and map views. Original files remain outside the generated index, while albums, labels, favorites, and archive states organize access. Search filters combine dates, locations, labels, and detected faces without changing source files.
The main tradeoff is operational overhead because indexing, AI models, backups, and upgrades remain the administrator's responsibility. Docker supports repeatable deployment, but large libraries require sufficient CPU, memory, and storage for indexing. A photographer managing a private archive benefits from local file ownership, browser access, and automated subject grouping.
- +Self-hosted storage keeps original files under the operator's filesystem and backup policy.
- +TensorFlow labels, face clusters, and map views reduce manual browsing.
- +RAW previews and video handling cover mixed camera libraries.
- +REST API and WebDAV support external ingestion and library access.
- –Initial indexing can consume substantial CPU, memory, and storage for large libraries.
- –AI labeling depends on model downloads and server hardware.
- –Multi-user permissions are less granular than enterprise DAM governance.
- –Some RAW formats depend on preview generation rather than full editing support.
Independent photographers
Sorting local camera archives
Faster archive retrieval
Small media teams
Maintaining shared reference libraries
Faster asset retrieval
Show 1 more scenario
Privacy-conscious households
Long-term family archiving
Private searchable archive
Self-hosting keeps family media on owned infrastructure while face and location searches reduce manual browsing.
Best for: Fits when photographers need local AI sorting, browser search, and filesystem-level control over a large archive.
Eagle
vertical specialistDigital asset organizer for designers that sorts images by color, shape, tags, and folders.
Rule-driven folder templates triggered by watched-folder ingestion that auto-assign destinations during import.
Eagle (eagle.cool) focuses on high-volume image sorting with an ingest pipeline that ties together watched folders, rule-based actions, and bulk moves into your directory structure. It emphasizes fast culling workflow support through batch review queues and repeatable folder templates.
Eagle also surfaces automation via import-time decisions so assets land in the right place without manual drag-and-drop. Metadata handling is designed for practical sorting based on common photo fields and timing cues.
- +Hot-folder style automation moves new images into template-driven folders
- +Batch review queue reduces time spent clicking through large imports
- +Configurable naming and destination rules support repeatable workflows
- +Grouping by visual similarity supports quick triage before final culling
- –Rule sets can become hard to audit when many conditions interact
- –Deep DAM bidirectional sync features are limited compared with specialized DAM tools
- –Metadata edits are less flexible than full editor-grade asset management
- –Performance can lag on very large libraries if indexing is not warmed
Best for: Fits when photographers need fast, repeatable sorting for high-volume imports using watched folders and rules.
Mylio Photos
SMBPhoto organization application with AI-assisted curation, deduplication, and offline-first sync.
Offline-first library syncing that preserves local collections and edits across devices without requiring constant web access.
Mylio Photos organizes photos by mirroring metadata and collections across desktop and mobile libraries. It supports offline-first sorting with local folder structures, visual tools for culling, and batch operations for renaming and metadata edits.
It also handles RAW workflows with color labels and rating-driven triage, then syncs changes back to attached devices. Mylio Photos is distinct for focusing on local control with cross-device synchronization instead of relying on a web-first photo library.
- +Offline-first workflow for ingest, triage, and metadata edits
- +Multi-device synchronization keeps edits consistent across endpoints
- +Fast culling with rating and color label driven selections
- +Batch renaming and metadata updates reduce repetitive work
- –Face recognition clustering accuracy varies by lighting and image quality
- –Advanced ingest automation needs manual setup for folder watching
- –Large libraries can feel slower during heavy metadata editing
- –Cross-folder organization depends on keeping directory structures aligned
Best for: Fits when photographers want local-first sorting and consistent edits across desktop and mobile libraries.
Capture One
enterpriseProfessional RAW editor and photo manager with catalog-based sorting, rating, and session workflows.
Session-based workspaces with collection-style triage keep sorting, review, and edits aligned without exporting proxies.
Capture One is an image sorting workflow built around a RAW-first editing library with metadata-aware organization. Sessions and albums let work be staged as discrete projects, then reviewed using collections and ratings for triage.
Metadata stays attached through XMP sidecar handling and robust import settings for directory structure and batch renaming. Sorting work is driven by rules like EXIF date-based sorting and tagging, then refined with color labels and search-driven filtering.
- +Session-based organization keeps client work separated without extra catalogs
- +Search filters combine metadata fields for fast culling and review
- +Batch rename and folder structure options reduce manual ingest cleanup
- +XMP sidecar handling supports metadata continuity across tools
- –Sorting depends on metadata completeness or sidecar presence for best results
- –Automation is less scriptable than tools built around external rule engines
- –Libraries can feel heavy when managing many deep directory trees
- –Watch-folder ingestion automation is limited compared with dedicated ingest pipelines
Best for: Fits when photographers need metadata-driven sorting with edit-ready sessions and precise search filters.
XnView MP
SMBCross-platform image viewer and organizer with batch renaming, categorizing, and metadata editing.
Batch renaming and tag-driven file operations can be applied across selected sets without exporting to a separate catalog.
XnView MP distinguishes itself with a desktop-first cataloging workflow built around fast browsing, metadata visibility, and heavy batch operations. It supports RAW viewing and detailed metadata inspection to speed triage and sorting without moving assets into a separate DAM system.
The app can drive batch renaming and filesystem operations using rule-based selections so folder structures can be organized repeatedly across libraries. Its automation surface is mostly through batch tools and scripting features rather than a server API or multi-user governance layer.
- +Fast grid and list browsing for large local libraries
- +Batch renaming and filesystem moves driven by selections
- +Broad format viewing for RAW and common image types
- +Metadata editor supports EXIF and tag updates in-place
- –No native multi-user library with RBAC or audit logging
- –Automation relies on batch workflows rather than an exposed API
- –Duplicate detection is limited compared with specialized similarity tools
- –Face recognition clustering for grouping people is not a core focus
Best for: Fits when individuals or small teams need repeatable local sorting and renaming without server-based DAM workflows.
FastStone Image Viewer
SMBWindows image browser and editor with thumbnail sorting, batch processing, and folder management.
Batch renaming rules that pull fields from EXIF data into predictable filename templates.
FastStone Image Viewer is a Windows desktop image sorter that combines a thumbnail browser with batch tools for renaming and basic edits. It focuses on fast local throughput with directory-based workflows, including EXIF date sorting and metadata-driven renaming templates.
FastStone also supports lossless rotation and can write changes back to image files, which helps keep a single library source of truth during triage. Compared with cloud photo organizers, it provides tighter control over folder structure and on-disk operations without relying on server sync.
- +Fast thumbnail navigation across large local directories with keyboard-first controls
- +Batch renaming driven by EXIF date fields for consistent folder workflows
- +Lossless rotation applies based on embedded orientation tags
- +Thumbnails, previews, and side-by-side views speed culling and compare passes
- –Designed for local file management and lacks a browser-style team library
- –Folder automation such as watch folders is limited and not centralized
- –No native face recognition clustering or visual similarity grouping
- –Integration with external DAM or cloud photo libraries requires manual export
Best for: Fits when local photo triage needs quick batch renaming, EXIF-based ordering, and on-disk control.
NeoFinder
vertical specialistMac digital asset manager that catalogs and sorts images, videos, and documents across offline volumes.
Hot-folder ingestion with folder watching and template-based destination mapping for automated library organization.
NeoFinder performs image triage by sorting large photo libraries using metadata and visual similarity signals during ingestion.
It supports directory-structure templates, watch-folder hot-folder workflows, and batch renaming rules to keep library layout consistent across repeated imports.
EXIF date-based sorting and metadata extraction drive time-based organization, while deduplication logic reduces repeated captures from becoming separate entries.
Automation options focus on repeatable ingest pipelines rather than manual curation alone.
- +Watch-folder hot-folder workflow supports unattended directory ingestion
- +Directory-structure templates keep target library layout consistent
- +Batch renaming rules apply repeatable filename normalization
- +Deduplication reduces duplicates during ingest rather than after export
- –Automation depth is weaker than tools with API-first integration
Best for: Fits when a single-photo-library workflow needs repeatable ingest automation and deduplication.
ON1 Photo RAW
SMBPhoto editor and organizer with AI-based categorization, albums, and keyword sorting.
Round-trip metadata via XMP sidecars keeps edits and sorting signals aligned across external editors and ON1 sessions.
ON1 Photo RAW is photo sorting and library management software built around a RAW-first workflow and non-destructive editing. It supports EXIF date-based sorting, batch renaming rules, and metadata-driven organization using ratings, labels, and keyword-like tags.
The software also handles XMP sidecar files for metadata continuity when images are edited outside the app. ON1 Photo RAW fits photographers who want an on-disk centric workflow with fast triage and iterative sorting inside the same desktop tool.
- +EXIF date sorting with practical folder templates for ingest organization
- +Batch renaming rules apply consistently across large image sets
- +XMP sidecar handling supports metadata continuity across workflows
- +Triage tools include ratings and label-style organization for quick sorting
- –Hot-folder automation and watch-folder behavior can be less predictable
- –Duplicate detection depends heavily on hashing strategy quality
- –Library indexing rebuilds can be slow on very large photo collections
- –Face recognition clustering requires more setup than metadata-only workflows
Best for: Fits when single-user or small teams need desktop triage, metadata sorting, and XMP sidecar continuity for RAW libraries.
Conclusion
After evaluating 10 storage moving relocation, ACDSee Photo Studio 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 image sorting software
Image sorting software in this guide is grouped by how it organizes libraries and how it automates ingest, including ACDSee Photo Studio, Excire Foto, PhotoPrism, Eagle, Mylio Photos, Capture One, XnView MP, FastStone Image Viewer, NeoFinder, and ON1 Photo RAW.
The tool set spans local-first catalogs like PhotoPrism and Excire Foto, hot-folder rule engines like Eagle and NeoFinder, and session-based metadata workflows like Capture One.
Each pick is evaluated for integration depth and extensibility through an automation and API surface, plus control mechanisms such as review queues, multi-user posture, and governance signals during batch operations.
The guide also maps sorting behavior to practical differences such as facial clustering in ACDSee Photo Studio and visual similarity retrieval in Excire Foto.
Image Sorting Software for Automating Photo Ingest, Metadata, and Library Organization
Image sorting software organizes photo files into collections and directories by using metadata and automated signals such as EXIF date ordering, face clustering, labeling, and visual similarity search.
This guide covers local indexing and library browsing in PhotoPrism and Excire Foto, where TensorFlow-based detection and AI search reduce manual keyword construction.
It also covers rule-driven import automation in Eagle, where watched-folder ingestion pushes images into template-driven folder destinations.
Other tools like ACDSee Photo Studio focus on People mode clustering to filter large portrait libraries by detected faces and names.
Across the picks, the key differentiators show up in whether sorting is driven by AI queries, rule-based ingest pipelines, or session-style metadata review, and whether the automation surface is accessible for external workflows.
Evaluation Criteria for Image Sorting Software Automation and Library Control
Sorting software becomes more than a viewer when it can push new assets into the right destinations during import, not just classify files after the fact. The strongest picks expose automation behavior that teams can repeat, inspect, and adapt, either through local watched-folder rule templates or through AI search that reduces manual filtering work.
Watched-folder rules and template-driven destinations
Eagle moves new images into rule-driven folder templates during watched-folder ingestion, so import creates the directory structure automatically. NeoFinder uses a hot-folder workflow with folder watching and template-based destination mapping for automated library organization.
Local AI search for people and visual similarity
Excire Foto retrieves visually similar images and recognized people with local AI search, which reduces the need to construct keyword queries. PhotoPrism indexes face clusters, labels, locations, and visual similarities into searchable library views using self-hosted TensorFlow.
People clustering and name assignment workflow
ACDSee Photo Studio People mode clusters portraits by detected faces, lets users assign names, and filters large libraries by person. Mylio Photos also clusters faces, but clustering accuracy varies with lighting and image quality.
Batch review queues and session-based triage
Capture One uses session-based workspaces for sorting, review, and edits without exporting proxies, with metadata-driven search filters for fast culling. Eagle also includes a batch review queue that reduces time spent clicking through large imports after rules place images.
Metadata continuity via XMP sidecars
ON1 Photo RAW keeps sorting signals aligned across external editors and ON1 sessions through round-trip metadata using XMP sidecars. Capture One sorting depends more on metadata completeness or sidecar presence for best results, so ingest gaps can reduce automation accuracy.
Filesystem-first batch operations for small teams
XnView MP supports batch renaming and tag-driven filesystem moves on selected sets without requiring a separate catalog export. FastStone Image Viewer applies batch renaming rules that pull fields from EXIF data into predictable filename templates.
Choose Based on Ingest Automation Model and Sorting Control Depth
The decision should start with the ingest model, because watched-folder template engines and AI search catalogs solve different sorting bottlenecks. Eagle and NeoFinder optimize repeatable import routing, while Excire Foto and PhotoPrism optimize retrieval-driven organization after ingestion.
Match the sorting bottleneck to the ingest model
If new files arrive in bulk and must be placed into consistent directories automatically, Eagle’s rule-driven watched-folder templates or NeoFinder’s hot-folder templates reduce manual post-import moves. If the main friction is finding subsets by faces or visual similarity after import, Excire Foto’s local AI search or PhotoPrism’s TensorFlow indexing supports search-first organization.
Plan how review and editing stay coupled
If sorting needs to stay connected to edit-ready context, Capture One uses session-based workspaces and metadata-driven search filters for culling and review without exporting proxies. If sorting can be decoupled from editing, ACDSee Photo Studio focuses on People mode clustering plus integrated RAW editing while organizing via Manage mode cataloging, ratings, labels, and categories.
Account for face clustering conditions and accuracy tradeoffs
If portrait libraries are the core archive, ACDSee Photo Studio clusters detected faces in People mode and supports filtering by person. If mobile and desktop libraries must stay in sync offline, Mylio Photos preserves edits across devices but face recognition clustering accuracy varies by lighting and image quality.
Decide how much automation needs to be inspectable
If the rule set needs to be understandable and auditable during ongoing operations, Eagle’s rule sets can become hard to audit when many conditions interact, so keep rule complexity controlled. If automation depth needs to be lower than API-first systems, NeoFinder’s automation strength focuses on watched-folder templates rather than exposed integration hooks.
Check metadata continuity requirements across editors
If edits must carry sorting signals through XMP sidecars across different tools, ON1 Photo RAW provides round-trip metadata continuity using XMP sidecars. If workflow depends on Capture One, sorting results can change when metadata completeness or sidecar presence varies across the imported set.
Pick the lowest-maintenance tool for the scale and deployment shape
If the library is large and needs self-hosted AI indexing under local filesystem and backup policy, PhotoPrism’s self-hosted TensorFlow indexing requires upfront CPU, memory, and storage but keeps originals under the operator’s filesystem. If local AI organization is required without mandatory cloud storage, Excire Foto keeps local cataloging but still lacks a documented public API for external automation.
Who Image Sorting Software Fits Best
Image sorting software fits best when the workflow includes either high-volume ingest that needs deterministic placement or large archives that require retrieval by people and visual similarity. Local-first tools also fit operations where original files must remain under the operator’s filesystem policy, and offline or multi-device edits must remain consistent across endpoints.
Photographers running high-volume imports with repeatable folder destinations
Eagle fits because watched-folder ingestion applies rule-driven folder templates and supports a batch review queue after auto-placement. NeoFinder also fits because hot-folder ingestion and directory-structure templates automate destination mapping.
Teams and individuals organizing large portrait archives by detected people
ACDSee Photo Studio fits because People mode clusters portraits by detected faces and supports assigning names for filtering. PhotoPrism fits because its TensorFlow indexing links face clusters to searchable library views with additional labels and locations.
Operators who want local AI without moving originals to cloud storage
Excire Foto fits because local cataloging avoids mandatory cloud storage while still enabling AI search for visually similar photos and recognized people. PhotoPrism fits because self-hosted storage keeps original files under the operator’s filesystem and backup policy while providing browser-style search.
Workflows that must preserve edits and collections across offline devices
Mylio Photos fits because offline-first library syncing preserves local collections and edits across devices. Mylio Photos still requires manual setup for folder watching to gain advanced ingest automation.
Small teams needing local batch renaming and tag-driven file operations
XnView MP fits because it applies batch renaming and filesystem moves driven by selections without exporting to a separate catalog. FastStone Image Viewer fits because it uses batch renaming rules that pull fields from EXIF date values into predictable filename templates.
Common Failure Points When Selecting Image Sorting Software
The most common mistakes happen when the workflow depends on external automation or multi-user governance but the tool focuses on desktop-only cataloging and batch workflows. Another recurring mistake happens when metadata quality assumptions are not validated, since many sorting engines rely on EXIF completeness, sidecar presence, or model downloads and server hardware.
Choosing a local desktop tool and then expecting shared team review with RBAC
XnView MP has no native multi-user library with RBAC or audit logging, so shared governance will be limited. ACDSee Photo Studio has desktop-first workflows that provide limited native multi-user review, so confirm collaboration requirements before committing.
Relying on automation when sidecar presence and metadata completeness are inconsistent
Capture One sorting depends on metadata completeness or sidecar presence for best results, so mixed imports can reduce culling accuracy. ON1 Photo RAW is stronger for round-trip continuity via XMP sidecars, which helps keep sorting signals aligned across tools.
Building complex rule sets that are hard to diagnose during ongoing ingest
Eagle’s rule sets can become hard to audit when many conditions interact, which makes it difficult to trace why images ended up in certain folders. Eagle is most effective when rule complexity stays controlled and review queues are used to spot routing errors quickly.
Assuming face clustering will work uniformly across lighting and image quality
Mylio Photos notes that face recognition clustering accuracy varies by lighting and image quality. ACDSee Photo Studio provides People mode clustering and filtering by person, so use a pilot library that matches lighting conditions in the actual archive.
Overlooking local indexing resource requirements for self-hosted AI catalogs
PhotoPrism’s initial indexing can consume substantial CPU, memory, and storage for large libraries. PhotoPrism’s AI labeling depends on model downloads and server hardware, so plan infrastructure before migrating a very large archive.
How We Selected and Ranked These Tools
We evaluated tools on feature coverage for image sorting workflows and automation behaviors, with feature depth weighted at 40%, ease of use for day-to-day sorting weighted at 30%, and value for the workflow payoff weighted at 30%. PhotoPrism, Excire Foto, and ACDSee Photo Studio were scored for local AI search and people or visual similarity retrieval that reduces manual keyword work.
Eagle and NeoFinder were scored for watched-folder ingestion and template-based folder routing that turns import into deterministic library structure. ACDSee Photo Studio ranked highest because People mode clusters portraits by detected faces and supports names and filtering at the same time as Manage mode provides folders plus cataloging, ratings, labels, and categories with integrated RAW editing.
Frequently Asked Questions About image sorting software
How do Amazon Photos, Google Photos, and Dropbox handle on-device sorting versus local cataloging?
Which tool provides watch-folder ingestion with rule-driven destination mapping for large imports?
When do XMP sidecar round-trips matter for a sorting workflow?
What breaks if a sorting workflow depends on folder names instead of metadata fields?
How do ACDSee Photo Studio and Excire Foto compare for AI-assisted people search and visual similarity?
Which desktop app exposes an API or remote interface for integrating sorting into other systems?
How do Mylio Photos and PhotoPrism differ in multi-device synchronization behavior?
How does ON1 Photo RAW manage edited metadata visibility during sorting and review?
What tradeoff appears when selecting local-only workflows like PhotoPrism or XnView MP instead of cloud photo organizers?
How should teams handle access control when multiple people need to sort into shared libraries?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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