LightVision is in beta — join free, no card required →
← All comparisons Comparison

LightVision Studio vs for cullingLightroom

Lightroom is the industry-standard editor and library — and with Assisted Culling (added to Lightroom Classic in October 2025, still labelled Early Access) it has started suggesting picks too, though Adobe’s own docs pitch it at portraits rather than full event days. LightVision automates the cull for exactly those days, edits a first pass in your style, and adds galleries and print sales, complementing (not replacing) your finishing workflow.

Last reviewed July 2026. Lightroom's features change — verify current details on their site.

CapabilityLightVisionLightroom
Automated AI culling to Pick/Alternate/Review AI culling, 7-point grading Assisted Culling (Early Access, portrait-first)
Explainable per-photo dimension scores Yes — inspectable per-photo scores No
Duplicate & burst grouping Yes No
Auto first-pass edit in your personal style Yes — learns from your finished work Presets / sync settings
Separate style profile per shoot type Yes — separate per shoot type Presets (manual)
Deep manual editing & color First pass; finish anywhere Industry-leading
Open-vocabulary type-a-word masking Yes — type a word → editable mask Fixed AI mask taxonomy
Auto moment collections + story arc Yes — on-device, shoot-type aware No
Borrow open eyes from a burst frame Yes — borrows open eyes from the burst No
On-device generative face restoration Yes — AI face restoration, on-device No
Click-a-face person search Yes — click a face, identity match People view (named)
Name people + wedding-role tagging (identity-bound) Yes — names bind to face identity Naming, no role presets
Per-person “Require N in Picks” quota Yes — require N in Picks per person No
Auto-add best shot of everyone missing Yes — add best shot of everyone missing No
Family / group shot-list coverage Yes — flags missing group shots No
Opt-in guest face-search in client gallery Yes — opt-in, anonymous, in-browser No
One-tap / typed Smart Collections Yes — one-tap or typed, on-device Metadata-rule smart collections
Identity-aware Face AI across a shoot Yes — cluster, restore, retouch People view (manual)
On-device semantic search Yes — on-device, no API key Keyword/metadata search
Client galleries & print store built in Yes No (separate products)
Sell digitals safely (watermark + gated originals) Yes — baked-in watermark, gated originals No
Pricing model Free tier, or $180–$660 / year (flat) Subscription

What Lightroom does well

  • The deepest manual editing and color tools in the industry.
  • A mature library/DAM and a huge preset and plugin ecosystem.
  • Powerful AI masking and subject selection for fine retouching.

Where LightVision is different

Automated culling, not manual flagging

Lightroom culling has been flag-and-rate by hand, and the new Assisted Culling (shipped in Lightroom Classic at the October 2025 MAX update) is a real step — but Adobe still labels it Early Access, its release notes pitch it at portraits and headshots rather than full event days, and one published test — by the maker of a competing plugin, so weigh it accordingly — clocked the initial analysis at nearly half an hour on a roughly 2,000-image set, with some tack-sharp frames wrongly rejected. LightVision grades every frame on seven dimensions and sorts them into Pick / Alternate / Review automatically, with duplicate and burst grouping so 40 near-identical frames become one decision.

A first pass that already looks like you

Instead of applying a single preset, LightVision learns your real develop settings from finished work and applies a per-scene, per-lighting first-pass edit — a personalized head start, not a one-size preset.

Delivery and sales in the same app

Client galleries and a lab-fulfilled print store are built in — no separate gallery host or print lab to wire up.

Type a word, get a mask — open-vocabulary

Lightroom’s AI masks are a fixed set — Subject, Sky, Background, People. LightVision lets you type almost anything — “her dress”, “the sunglasses”, “the lake” — and builds a pixel-accurate, editable adjustment mask on-device, then refine it with a click. It’s open-vocabulary masking, not a fixed taxonomy.

Search by meaning, fully on-device

Type “kids laughing” or “golden hour by the lake” and on-device AI ranks your import by what the pixels actually depict, with no API key or internet — versus Lightroom’s keyword and metadata search. It works on an unculled, untagged import out of the box.

Borrow open eyes from a burst frame

Lightroom has no cross-frame eye replacement. LightVision can lift a person’s open eyes from a sibling burst frame onto the blinking keeper as a non-destructive layer — each person in a group fixed independently, every fix identity-verified by face recognition first.

A per-person “Require N in Picks” quota

Lightroom’s People view groups and names faces well, but doesn’t tell you whether everyone made your final selection. LightVision’s People panel lets you set how many shots of each person you need in the final Picks — 1, 2, 3 or 5 — and flags anyone who falls short, with per-person progress like “2 of 3 in Picks · needs 1 more”, biggest gaps first, and one click to jump to their photos. An “Add best shot of everyone missing” button fills each short person’s top-ranked unpicked frames in one click. It turns face recognition into a delivery-completeness check.

Names that carry wedding roles

Lightroom’s People view lets you name faces. LightVision adds one-click wedding/event role tagging from a built-in preset — Bride, Groom, Couple, Bride’s family, Groom’s family, Best man, Maid of honour, Wedding party, VIP guest — and binds each name to the face’s identity embedding (not a volatile person number), so it re-attaches to the right person by similarity as the cull re-clusters. Names and roles save into your local project file, then drive coverage quotas and group shot-lists, so naming feeds the delivery checks rather than just labeling.

Did the family-together shot make the cut?

Lightroom can find and name people, but it won’t tell you whether a specific group made it into your selects. From named people, LightVision lets you define must-have group shots — couple plus each set of parents, the whole wedding party — and checks whether a frame with that whole group together actually reached your Picks, by intersecting each person’s face matches. It counts together-frames against a required number (1–3) and pinpoints the gap: a member isn’t in this shoot, no frame has everyone together, or together-frames aren’t picked yet — with one click to add the best one.

Guest “find my photos” in the delivered gallery

Lightroom’s People work stays inside the photographer’s catalog. LightVision can ship an opt-in “find my photos by face” experience into the delivered client gallery — off by default. A guest taps their own face and the grid filters to just their photos, matched entirely in their own browser. Only anonymous face vectors are published (no names, no identities), nothing is sent to a server during the search, and the picker only appears once the gallery password is unlocked.

One-tap Smart Collections

Lightroom organizes with manual collections, keywords and smart collections built on metadata rules. LightVision builds a themed set from one tap — chips for all kissing moments, candid laughing shots, group photos, highest energy shots, and best of decorations and venue — or a typed query, with the default search running on-device so it needs no grading and no API key, right after import. Any result saves as a live collection; deeper visual or tag search is an optional mode.

On-device face restoration for dim-light faces

LightVision runs a real generative face-restoration model on-device and auto-detects which faces are soft or grainy — the noise high-ISO receptions and ceremonies produce — restoring their detail with a 0–100 strength slider, blended back non-destructively across every detected face.

Sell digitals without giving them away

LightVision delivers and sells in the same app, so it also protects what you sell. Previews carry a watermark baked into the pixels (so it survives a screenshot), the full-resolution originals are kept off the gallery page and released only to the client who bought or earned them, and an “included” count like 30 images is enforced per client on the server — clearing cookies won’t reset it. Lightroom is an editor and library; delivering and protecting client galleries lives in separate products. (No tool can stop an outright screenshot — but the baked-in watermark rides along on it.)

Is LightVision a good Lightroom alternative?

Does LightVision replace Lightroom?+

It doesn’t have to. Many photographers use LightVision to cull and apply a first-pass edit in their style, then finish favorites in Lightroom. LightVision learns from that finished work, so the two get better together.

Doesn’t Lightroom have AI culling now?+

It’s getting there. Lightroom Classic shipped Assisted Culling at the October 2025 MAX update: it groups similar shots and suggests picks based on focus and eyes, and it’s included with existing subscriptions, so it’s worth trying. But Adobe still labels it Early Access, its release notes pitch it at portraits and headshots rather than full event days, and one published test (by the maker of a competing plugin) measured nearly half an hour of analysis on a roughly 2,000-image set, with some tack-sharp images rejected. LightVision is built for the full wedding or event day: seven inspectable dimensions per frame, burst and duplicate grouping, and people-coverage checks — all on-device.

Why cull in LightVision instead of Lightroom?+

Speed, consistency and event-day coverage. Lightroom culling has been manual flag-and-rate, and its new Assisted Culling is Early Access and portrait-first; LightVision grades every frame automatically on seven dimensions, groups duplicates and bursts, and hands you the Picks — turning a full day of flagging into minutes of review.

How is LightVision’s AI masking different from Lightroom’s?+

Lightroom’s AI masks are a fixed taxonomy — Subject, Sky, Background, People. In LightVision you type a region in plain words, like “her dress” or “the sunglasses”, and it builds a pixel-accurate, editable mask on-device that you can refine with a click. It’s open-vocabulary, so you can name almost anything in the photo rather than picking from a list. It produces a selection to edit — it doesn’t generate, remove or replace objects.

Can LightVision fix closed eyes the way Lightroom can’t?+

Yes. Lightroom has no cross-frame eye replacement. When you shoot a burst, LightVision can borrow a person’s open eyes from another frame and composite them onto the blinking keeper as a non-destructive layer, with each person in a group fixed independently and identity-verified by face recognition first. It needs an open-eyed frame of that person in the burst, since it borrows real pixels rather than synthesizing eyes.

How is LightVision’s Smart Collections different from Lightroom’s smart collections?+

Lightroom’s smart collections are powerful but rule-based — they match metadata and keywords you’ve already applied. LightVision builds a themed set from a single tap — chips for all kissing moments, candid laughing shots, group photos, highest energy shots, and best of decorations and venue — or a typed query, and the default search runs on-device, matching the meaning of your words to the actual pixels. It needs no grading, no API key and no pre-tagging, works right after import, and any result saves as a live collection. Deeper visual or tag search is an optional mode that needs an API key or a local model.

Can LightVision tell me if a guest is under-represented in my Picks?+

Yes, in a way Lightroom’s People view doesn’t. You set how many shots of each person you need in the final Picks — 1, 2, 3 or 5 — and the People panel flags anyone who falls short, with per-person progress like “2 of 3 in Picks · needs 1 more” and the biggest gaps first. People are grouped on-device by face identity, a filter keeps background strangers out, and one click jumps to a person’s photos so you can add the missing keeper. You still choose the photo; it never auto-adds. There’s also an “Add best shot of everyone missing” button that fills each short person’s top-ranked unpicked frames at once.

How is naming people different from Lightroom’s People view?+

Lightroom’s People view groups and names faces well. LightVision adds one-click wedding/event role tagging from a built-in preset — Bride, Groom, Couple, Bride’s family, Groom’s family, Best man, Maid of honour, Wedding party, VIP guest — and binds each name to the face’s identity embedding rather than a volatile auto-generated person number, so a saved name re-attaches to the right person by face similarity as the cull re-clusters. Naming runs on-device and saves into your local project file, and those names then power the per-person coverage quota and group shot-lists. The role list is a fixed preset (free-text names are separate), and it doesn’t auto-name people — naming is a quick manual action.

Can wedding guests find their own photos in the gallery?+

Yes, if you enable it. Lightroom’s People work stays inside your catalog; LightVision can ship an opt-in “find my photos by face” feature into the delivered client gallery — off by default. A guest taps their own face and the grid filters to just the photos they’re in, matched entirely in their own browser. Only anonymous face vectors are published (no names or identities), nothing is sent to a server during the search, and the picker only appears after the gallery password is entered. It’s a best-effort match and the password gate delays the picker rather than encrypting the data, so it’s a convenience feature, not bank-grade security.

See how LightVision compares on your own shoot.

LightVision is in beta — join free, no card required, and we'll help you get set up.