What file formats does FenSight support?

FenSight supports PNG, JPG/JPEG, BMP, GIF, TIFF, TGA, WEBP, JPEG-XL, AVIF, HEIF/HEIC, DICOM, and most RAW formats (DNG, CR2, CR3, NEF, ARW, RAF, and more). It also supports video files and image sequences.

Does FenSight require an internet connection?

FenSight is built for offline use after activation. License keys validate locally, and the app may periodically check license status for refund or revocation handling. Optional AI features can run locally where supported or use providers you configure.

Is FenSight a subscription or one-time purchase?

FenSight is a one-time purchase with no recurring subscriptions. You buy it once and own it forever. Free updates are included, and you can use it offline indefinitely.

Can I use FenSight with Photoshop or other creative tools?

Yes. FenSight supports external drag-out, meaning you can drag selections directly from the canvas into Photoshop, Illustrator, Figma, or any application that accepts file drops. You can also export to clipboard, file, or FTP/FTPS.

What are the system requirements for FenSight?

FenSight requires Windows 10 64-bit (build 19044+) or Windows 11. The .NET 9.x runtime is bundled. Minimum: 8 GB RAM and DirectX 11 GPU. Recommended: 16 GB RAM with a dedicated GPU for large boards and AI features.

Layouts and grouping/01

Built-in Layouts

Free

Every one-click arrangement in the layout dropdown.

The layout dropdown ships 27 one-click catalog arrangements. They fall into five families: spatial presets with no grouping, path-routed layouts, one-click Cluster modes that group into labeled buckets, Group modes that arrange by a single dimension, and AI visual similarity. Radial Tight, Edge-Biased, Masonry Rows, and Masonry Columns are Free, along with the Cluster: Created Date mode; every other catalog mode here is Pro. A separate built-in custom preset, Pathing + Vertical Masonry, is non-premium by preset id and is covered in Pathing Layouts.

How to apply a built-in layout

Toolbar

Layout dropdown -> pick a mode

Keyboard

Ctrl + R

Re-run the active layout after adding or changing board items.

Spatial presets

Pure spatial packing with no grouping. Largest items anchor the arrangement.

Option	What it does	How it works
Radial TightFree	Packs items tightly around a center point.	Places the largest item at the target center, then uses a golden-angle radial distribution with collision resolution.
Edge-BiasedFree	Anchors the largest item and grows outward along its edges.	Sorts largest-first, places each next item on the base rect's outer edges with TryPlaceOnBaseEdges, then falls back to adjacency.
Masonry RowsFree	Flows items into balanced horizontal rows.	Uses compact bottom-left packing with a wider row-biased target width adjusted by Pack Density.
Masonry ColumnsFree	Flows items into balanced vertical columns.	Uses the same compact packing engine with a narrower column-biased target width adjusted by Pack Density.

Path-routed

Arrange items into lanes by their assigned Path ID. See Pathing Layouts for routing details.

Option	What it does	How it works
Pathing + Masonry RowsIndividual	One masonry-row lane per Path ID.	Groups by Path ID, then masonry-rows each lane.
Pathing + Masonry ColumnsIndividual	One masonry-column lane per Path ID.	Groups by Path ID, then masonry-columns each lane.

One-click Cluster modes

Group items into labeled buckets by a single dimension. Bucket counts are capped by mode: categorical modes up to 50, path modes up to 100, and granular modes up to 150.

Option	What it does	How it works
Cluster: Created DateFree	Buckets by file creation time.	Uses timestamp ranges from cached signatures or file creation times.
Cluster: Modified DateIndividual	Buckets by last-modified time.	Uses timestamp ranges from cached signatures or file last-write times.
Cluster: Parent FoldersIndividual	Groups by containing folder.	Normalizes source directories, then keeps the largest path buckets up to the path-mode cap.
Cluster: ExtensionIndividual	Groups by file extension.	Uses lowercase file-extension categories.
Cluster: PBR TagsIndividual	Groups PBR texture maps by role.	Reads item tags for packed ORM, normal, albedo, roughness, metallic, AO, height, and IBL roles.
Cluster: TagsIndividual	Groups by assigned tags.	Uses the first sorted item tag as the bucket, marks multi-tag items, and sends untagged items to an Untagged bucket.
Cluster: File SizeIndividual	Groups by size on disk.	Builds numeric size-range buckets from cached size signatures or file lengths.
Cluster: Duration (Audio/Video)Individual	Groups audio/video by length.	Builds duration-range buckets from media duration metadata.
Cluster: Audio LoudnessIndividual	Groups audio by perceived loudness.	Computes an RMS loudness score from waveform data and buckets the score.
Cluster: Audio Dynamic RangeIndividual	Groups audio by dynamic range.	Computes a waveform quartile range score and buckets the resulting dynamic-range value.
Cluster: DPIIndividual	Groups images by DPI.	Uses the larger bitmap DPI axis and builds numeric DPI range buckets.
Cluster: Aspect RatioIndividual	Groups by orientation and ratio.	Buckets item width-to-height ratios into Tall, Squareish, Wide, Cinematic, and UltraWide groups.
Cluster: BrightnessIndividual	Groups by average brightness.	Samples thumbnail pixels and builds percentage brightness buckets.
Cluster: Color HueIndividual	Groups by dominant hue.	Uses 8 hue buckets by default; low-saturation items fall into neutral brightness groups.
Cluster: EntropyIndividual	Groups by visual complexity.	Computes Shannon entropy from sampled thumbnails and buckets it, capped at 50 buckets.
Cluster: Edge DensityIndividual	Groups by amount of edge detail.	Samples thumbnail contrast changes and labels items as Flat, Soft, Textured, or Busy.
Cluster: AlphabeticalIndividual	Groups by leading filename character.	Builds alpha and neutral filename buckets, capped at 50 buckets, using the current neutral threshold.
Cluster: Geo LocationIndividual	Groups by GPS location.	Uses EXIF GPS metadata through the geo bucket provider, grouping unlabeled photos under No GPS.

Group-by-dimension

Option	What it does	How it works
Group: WidthIndividual	Arranges by pixel width.	Builds single-dimension width buckets, then lays those groups out sequentially.
Group: HeightIndividual	Arranges by pixel height.	Builds single-dimension height buckets, then lays those groups out sequentially.

AI

Option	What it does	How it works
AI: Visual SimilarityIndividual	Arranges by learned visual likeness.	Clusters compatible stored embeddings with K-means; if semantic clustering is unavailable, the app falls back to the fast visual-signature layout.

Radial Tight, Edge-Biased, Masonry Rows, and Masonry Columns are available on Free, along with the Cluster: Created Date mode. All other catalog Cluster:/Group:, Pathing + Masonry, and AI modes require Pro; Pathing + Vertical Masonry is the built-in non-premium custom-preset exception.

Connected guides

Follow these related pages when the workflow crosses into setup, search, organization, export, security, or another board-level system.

Clustering DimensionsEvery heuristic FenSight can group by, and how each is computed.Cluster ShapesHow clusters and their contents are packed: Group Shape vs Shape.Custom Cluster LayoutCompose Group Shape + Shape + heuristic into a saved preset.Pathing LayoutsRoute items into lanes by Path ID.Rendering and PerformanceKeep thousand-item boards responsive.Cluster Labels and BackgroundsReadable group headers and frame shapes.

Linked from

Quick start Star ratings Clustering Dimensions Cluster Shapes Pathing Layouts Rendering and Performance