Lighting Reference Organizer: How to Build and Tag a Value Study Library (2026)

A lighting reference organizer is only as useful as how fast you can retrieve a specific image. Most artists collect lighting references in scattered folders, PureRef boards, or saved browser tabs with no consistent tagging. When you need "dramatic side-lit portrait, golden hour" at 2 a.m. before a deadline, you do not want to scroll through 800 images. This guide shows you how to build a tagged, searchable lighting reference library from scratch and assemble study boards in minutes.

Why most lighting reference systems break down

The problem is not collection. Artists are excellent at saving reference images. The problem is retrieval.

A folder named "lighting refs" grows until it is useless. A PureRef board captures one session perfectly, but PureRef has no tags, no search, and no cross-project library. When you open a new board months later, all the references from last year are locked inside old .pur files with no way to search across them. PureRef's own feature list confirms there is no tagging, search, or library of any kind.

The solution is a two-part system: a persistent tagged library where every lighting reference lives permanently, plus a canvas layer where you assemble study boards from that library.

Before you start: choose a tagging vocabulary

Decide on your tag vocabulary before importing a single image. Changing tag names later means retagging everything.

A practical vocabulary for lighting references covers five dimensions:

1. Light type

• light-type/key (the dominant, directional light source)
• light-type/fill (secondary, softer light that lifts shadows)
• light-type/rim or light-type/backlight (light from behind the subject)
• light-type/ambient (diffuse, directionless environmental light)
• light-type/practical (visible light sources in the scene, lamps, windows, fire)

2. Light direction

• direction/front, direction/side, direction/top, direction/under, direction/back

3. Time of day or light temperature

• time/golden-hour, time/blue-hour, time/noon, time/overcast, time/night, time/interior

4. Mood or contrast level

• mood/dramatic (high contrast, chiaroscuro reference territory)
• mood/soft (low contrast, diffused)
• mood/flat (very even, little shadow)
• mood/mysterious, mood/warm, mood/cool

5. Subject category

• subject/portrait, subject/figure, subject/landscape, subject/interior, subject/still-life, subject/architecture

You can use any separator you like. Hierarchical tags are even better: a parent tag light-type with children key, fill, rim, and ambient lets you search by the parent to get all children, or by a child to narrow down.

Step 1: Create a dedicated workspace for your reference library

Open refern and point it at a folder you already use, or create a new folder on disk called something like References. refern never copies your files. It indexes your folder in place using a local SQLite database and generates thumbnails alongside your originals. Your files stay exactly where they are.

Create top-level folders inside your workspace for broad categories:

References/
  Lighting/
    Portraits/
    Landscapes/
    Interiors/
    Studies/

This folder structure is not your primary retrieval method. Tags handle retrieval. Folders handle rough grouping so large libraries stay navigable in the sidebar.

Step 2: Import your existing references

Drag your existing lighting reference images into refern's import staging area, or use the browser extension to save new ones directly from the web. The browser extension (available for Chrome, Firefox, and Safari) lets you hover-save any image from any page, or batch-save a whole page of references with a single click.

During import, refern reads any EXIF, IPTC, or XMP metadata embedded in the file. If your references came from a photography workflow (Lightroom, DigiKam, or a camera app), any embedded keywords are imported automatically as tags. This backfills some of your tag vocabulary for free.

If you are migrating from Eagle, refern's Eagle importer reads your folders, tags, ratings, sources, and notes. Your existing organization is preserved.

Step 3: Tag each reference as you import it

The most efficient approach is to tag images in batches at import time rather than going back to retag later.

In refern's import staging area, select a batch of images with similar lighting characteristics and apply shared tags to all of them at once. For example: select 20 portraits with strong side lighting, apply light-type/key, direction/side, and subject/portrait to the whole batch. Then add image-specific tags individually (for instance, time/golden-hour to the ones shot at dusk).

Use the tag macros feature to speed this up. A macro lets you assign a group of tags with a single shortcut. Create a macro for your most common lighting scenarios:

• "Dramatic portrait": applies light-type/key, direction/side, mood/dramatic, subject/portrait
• "Golden hour landscape": applies time/golden-hour, mood/warm, subject/landscape, light-type/key
• "Chiaroscuro study": applies mood/dramatic, light-type/key, light-type/fill (minimal fill), subject/figure

Step 4: Set up smart folders for instant retrieval

Smart folders are saved searches that auto-populate. Create one for each lighting scenario you study regularly.

Go to the smart folders section in the sidebar and create entries like:

Once created, these folders update automatically as you add more images. When you need golden hour references at the start of a painting session, one click pulls every image you have ever tagged with time/golden-hour, across all subfolders, no manual browsing.

You can also use the color search operator to supplement tag searches. Searching color:#f4a460 tag:subject/landscape finds warm-toned landscape references. Searching color:#4a4a8a finds images with cool blue-hour tones. Both searches run locally with no internet connection, no API call, and no waiting.

Step 5: Build lighting study boards on the canvas

Once your library is tagged, assembling a study board takes seconds.

Open a new canvas in refern. Use a smart folder or a tag search to find the references you want. Drag them from the library grid onto the canvas. Arrange them spatially, group related references with group layers, and label groups with text elements.

For value studies, toggle grayscale mode at the image level or apply a saturation-zero filter to individual images on the canvas. This strips color out and forces you to read the scene purely in values. You can do this non-destructively (the filter is applied as a canvas property, not written back to the original file).

Use group backgrounds to separate sections of the board. For example: one group labeled "Key light examples" with a neutral background, another labeled "Rim light examples" with a contrasting background. Pin a window reference in the center of the board as your study target and surround it with the references that informed it.

Step 6: Use the timed study mode for deliberate practice

refern includes a timed study mode. Select a set of images from your library (or from a smart folder result set) and start a timed session. The timer advances through each image at your chosen interval. Use it for:

• Gesture-paced value thumbnail studies (30 seconds to 2 minutes per image)
• Deliberate observation sessions (5 minutes per image, write notes during the pause)
• Quick compositional reading (10 to 15 seconds per image, just absorb the overall value pattern)

The timed study mode works directly from your tagged library. Filter to tag:mood/dramatic and run a study session on only high-contrast references, or filter to tag:time/golden-hour for a warm-light-focused session.

Step 7: Track where your references came from

Source tracking is part of ethical reference use and professional practice. refern stores a source URL field on every image. When you save a reference with the browser extension, the source URL is captured automatically. When you drag an image in manually, add the source URL to the image's metadata sidebar.

This matters for two reasons: you can always find the original artwork or photograph if you need to credit it, and you can return to the source to find more references from the same creator.

Use the source: or creator: search operators to pull all references from a specific photographer or artist. For example, if you are studying how one particular film cinematographer uses light, tag all frames you save from their work with a creator/ tag and pull them all together in seconds.

Common problems and fixes

"My tags have inconsistent capitalization and spelling" Use the tag dictionary to find duplicates (is:duplicate does not apply to tags, but the tag management panel shows all tags). Merge or rename duplicates from there. Set a convention at the start (all lowercase, hyphens for spaces) and stick to it.

"I have too many images to tag retroactively" Batch-select images in the grid (Shift-click for ranges), apply shared tags to the selection, then go through individual exceptions. Start with the broadest tags (subject/portrait across 500 images) before narrowing to specifics.

"I want to keep my PureRef session boards too" You can save your reference boards as refern canvas files (.refern-canvas) alongside your image library. Unlike PureRef's .pur format, the canvas file references images in your library by ID, so there is no file duplication. The original images stay on disk; the canvas just records their arrangement. If you delete the canvas, the images remain in your library.

"The color search is not finding warm-toned images I know I have" Color search scores images by their dominant color palette. An image with a warm subject on a cool background may score higher for the cool tone. Try searching by a slightly different hue, or combine the color search with a tag filter to narrow results.

Next steps

Once your lighting reference library is organized, the same tagging system extends to other reference categories. The pattern is the same: clear vocabulary, batch tagging at import time, smart folders for retrieval, canvas for study boards.

Useful next reads:

• How to tag reference images effectively: covers hierarchical tag design and macro setup in detail.
• How to organize reference images: the broader reference organization workflow.
• How to search images by color: complete walkthrough of the color search operator and palette-based filtering.
• Folders vs tags for reference images: when to use each and when to combine them.