#128.1s
action_chase_low_angle_01.mov
0:00-0:28
macOS Desktop App
Split and search every shot in your videos
Import local videos, let ShotMind automatically split them into shots, and use AI to analyze visual content, composition, camera movement, and mood so you can search for the exact reference you need. Whether your footage is live action, animation, product video, game capture, or AI-generated video.
Auto split
video into shots
Shot-level AI
content, motion, mood
Natural search
find the exact visual
ShotMind Shot Search
action chase, low-angle wide shot, golden-ratio framing
FilmstripGraph
#26.7s
wide_sprint_street_02.mp4
1:29-1:36
#33.4s
hero_frame_golden_ratio.mov
1:14-1:18
#43.0s
lateral_tracking_cross_03.mp4
5:12-5:15
#54.7s
dust_rider_silhouette.mov
0:59-1:04
#611.6s
medium_build_up_01.mp4
1:53-2:04
#722.5s
forest_flashlight_search.mov
4:19-4:42
#85.5s
hard_backlight_edge_02.mp4
47:41-47:47
#94.0s
street_cross_motion_04.mov
0:56-1:00
#1024.2s
ui_rhythm_reference.mp4
2:18-2:42
Search by visual intent, then jump straight to the shot you need.
Why ShotMind exists
Long videos were not made for finding one shot
Creators usually need a specific frame, movement, mood, or product angle, but folders and timelines make them search at the file level. ShotMind starts at the shot level.
Scrubbing takes too long
A five-second visual reference can be buried inside a long clip, an old edit, or a drive you have not opened in months.
Filenames miss the actual image
A filename rarely says slow push-in, backlit silhouette, clean product handoff, animated camera arc, or low-light mood.
Creative work needs exact shots
AI generation, editing, ad ideation, storyboards, and client pitches all get easier when you can pull up the concrete visual you mean.
Shot-level workflow
From scattered footage to a searchable shot memory
A desktop-first flow for building references from material you already have.
01
Import local videos
Drag footage into the desktop app. ShotMind detects shot boundaries and keeps source videos managed locally.
02
Select shots worth remembering
Choose the clips that are useful as references. Selected shots are analyzed in the cloud and indexed for search.
03
Search by visual intent
Look for mood, composition, motion, lighting, or subject. Reuse the results as references for AI video generation.
Search by creative intent
Find the frame you mean before you create
Search your own footage by motion, mood, subject, lighting, composition, or use case, then reuse the result for generation, editing, ads, or pitches.
"A slow push-in through a cool city night, wet pavement reflections, and a lone figure walking into neon light"
AI video generation reference
Find concrete visual references before prompting Runway, Kling, Luma, Sora, or another AI video workflow.
"A clean product close-up with one hand lifting the object, soft highlights revealing a premium metal finish"
Commercial and product shots
Pull together product details, hand actions, lighting moods, and premium texture references for ad concepts.
"Quiet warm indoor B-roll with a slow lateral move, a back-view subject standing in window light"
Editing and B-roll search
Find cutaways, transition shots, mood clips, and supplemental footage without digging through drives.
"A wide establishing shot of a future city at dusk, symmetrical framing, spacecraft moving between towers"
Pitch and storyboard evidence
Collect real visual examples for client pitches, storyboards, treatments, and team discussions.
"An over-the-shoulder two-person dialogue shot, foreground figure holding the frame, tense low-light interior"
Film and drama blocking
Find shot size, camera placement, performance beats, and scene blocking from film, series, and vertical drama material.
"A fast follow shot of a character sprinting forward, the camera pushing with the motion before a sharp rhythmic transition"
Animation, game, and UI motion
Search movement rhythm, stylized camera paths, gameplay moments, screen flows, and interaction timing.
Features
The core pieces of shot-level video search
ShotMind focuses on the concrete steps that make video searchable: split shots, understand each shot, then search by the way creators describe visuals.
Automatic Shot Splitting
Import local videos and let ShotMind detect shot boundaries so a long file becomes a set of searchable, manageable visual moments.
Shot-Level AI Analysis
Selected shots are analyzed for visual content, craft cues, composition, camera movement, mood, lighting, subject, and search-ready language.
Natural-Language Shot Search
Search by the way creators think: camera movement, mood, composition, lighting, subject, content type, or commercial use case.
Local Source Video Workflow
Manage source videos on your Mac. Only selected shot slices are sent to cloud AI as temporary analysis copies; after successful analysis, those temporary copies are removed from cloud storage while full source files stay in your local workflow.
Supported material
Built for many kinds of video footage
Whether you work with film clips, product ads, live footage, animation, game capture, or AI-generated videos, ShotMind can split the material into shots and index what is on screen.
Film, series, and vertical drama
Movies, TV series, short drama, manhua-style drama, trailers
Search composition, shot size, emotion, performance beats, and camera blocking from mainstream screen references.
Ads and product videos
Product close-ups, hand actions, ecommerce clips, commercial shorts
Find texture, lighting, pacing, product presentation, hand movement, and premium visual cues.
Live-action creative footage
Short films, documentaries, weddings, events, travel, B-roll
Retrieve people, places, atmosphere, transitions, cutaways, and supplemental shots from existing shoots.
Animation, 3D, and motion
Animated shorts, 3D scenes, motion graphics, character animation
Index camera motion, visual rhythm, layout, stylized movement, and design references from animated material.
Game, screen, and UI video
Gameplay, game trailers, tutorials, software screens, UI motion
Find action beats, interface timing, key frames, transitions, and interaction motion from recorded screens.
AI-generated video
Runway, Kling, Luma, Sora, and test outputs
Turn good generations and test results back into searchable references instead of starting from zero each time.
Product demo
See how ShotMind turns videos into a searchable shot library
This demo uses open movie material from Blender Studio / Blender Foundation, including Charge and Cosmos Laundromat: First Cycle. It shows ShotMind importing video, splitting shots, analyzing visual content, composition, camera movement, and mood, then finding target shots with natural language.
Complete workflow demo
Covers import, shot splitting, AI analysis, natural-language search, and result review.
Open movie material
Uses clips from Charge and Cosmos Laundromat: First Cycle.
Source material comes from Blender Studio / Blender Foundation open movie projects. ShotMind uses it only to demonstrate shot splitting, analysis, and search workflows.
The video shows how ShotMind turns long videos into a searchable shot library and quickly locates results inside analyzed shots.
Product facts
What does ShotMind do?
ShotMind splits local videos into shot-level clips and uses AI to analyze visual content, composition, camera movement, and mood. You can search for exact visuals by natural language instead of scrubbing timelines or digging through folders.
Automatic shot splitting
Turn long videos into manageable, searchable shot clips.
Shot-level management
Browse and organize footage around specific shots, not only whole video files.
AI visual analysis
Analyze visual content, subjects, composition, camera movement, lighting, mood, and search-ready descriptions.
Natural-language search
Search like you describe a visual, such as slow push-in through a cool city night or product close-up with soft highlights and clear hand movement.
ShotMind is entering its public launch stage. The current focus is the macOS desktop app, and a Windows version is in the future development plan. Full source videos stay in your local workflow; only selected shot slices are temporarily sent to cloud AI for analysis.
FAQ
Common questions before you try ShotMind
What is ShotMind?
ShotMind is a shot-level video management and search tool that automatically splits local videos, analyzes visuals with AI, and lets you search exact shots by natural language.
Does ShotMind upload my full videos?
No. Full source videos are not uploaded or stored as full video files. They stay in your local workflow; only selected shot slices are temporarily sent to cloud AI for analysis.
What kinds of video material does ShotMind support?
Film, series, vertical drama, ads, product videos, live-action creative footage, animation, 3D, motion, game, screen, UI videos, and AI-generated video.
Is ShotMind fully offline?
No. ShotMind uses a local source-video workflow, but AI analysis requires cloud processing for selected shot slices.
Creative workflow
Turn your videos into a searchable shot library
ShotMind is designed for creators who need to find exact visuals before generation, editing, ad ideation, storyboards, or client pitches.
Use the desktop app for deep video import, review, and search.
Choose the clips that are useful enough to analyze as references.
Search by mood, motion, composition, lighting, subject, and use case.
Bring real visual examples into prompts, boards, edits, and pitches.
Build your searchable shot library
Request Mac access and turn your own videos into searchable, shot-level visual references.