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action_chase_low_angle_01.mov
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macOS Desktop App
Search inside local video footagefind exact shots by description
ShotMind is a Mac video asset management tool for creators who need to find specific moments inside footage they already have. It splits local videos into shots, uses cloud AI to analyze only the clips you choose, and saves descriptions, thumbnails, and a local searchable index back to your local library.
Selected clips only
Full videos stay local
Shot-level AI
content, motion, mood
Natural search
find specific shots
Analyzed data stays local
not locked to subscription
ShotMind Video Library
two characters fighting with fast camera movement
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street_cross_motion_04.mov
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ui_rhythm_reference.mp4
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Search by visual intent, then jump straight to the shot you need.
AI analyzes once. The library stays on your Mac.
Analyzed shots stay local, not locked to a subscription.
ShotMind does not turn your videos into a cloud library you can only open online. Cloud AI analyzes the new shots you choose; the descriptions, thumbnails, and local searchable index come back to a local library you can keep, search, and move on your Mac.
01
Local shot library
Analyzed shots, AI descriptions, thumbnails, and a local searchable index are stored in the local library on your Mac.
02
Search without internet
Already-analyzed content can be browsed and searched without contacting ShotMind cloud servers.
03
Saved results stay usable
Future pricing or service changes do not change the analysis results already saved locally. New shot analysis still needs cloud service and available Points.
Why ShotMind exists
The bigger your video library gets, the harder one shot is to find
Folders, filenames, timelines, and cloud drives can store video files, but they rarely describe what is inside them. ShotMind helps creators search the actual shots hidden inside a video library.
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.
Product demo
See how ShotMind turns videos into a searchable shot library
Using Caminandes: Llamigos from Blender Studio / Blender Foundation, watch ShotMind import a video, automatically split it into shots, run AI analysis, and confirm that the shots have been added to your library. Processing and AI analysis are shown in sped-up playback.
From video to shot library
Covers import, automatic shot splitting, AI analysis, and the completion summary.
Open movie material
Analysis example: Caminandes: Llamigos by Blender Studio / Blender Foundation.
Demo footage: Caminandes: Llamigos, Blender Institute / Blender Foundation, directed by Pablo Vazquez. This screen recording includes excerpts, faster playback and interface annotations. Caminandes: Llamigos · CC BY 4.0
Import a video, automatically split and analyze its shots, then review the analysis summary. Processing and AI analysis are shown in sped-up playback.
The idea behind ShotMind
“ShotMind began with a familiar problem: remembering a useful shot, but not which video it was in. Finding it again meant digging through folders and timelines.
Sihuo Studio built ShotMind to help you find shots in the videos you already have, using a description of what you remember.
The goal is simple: spend less time finding footage and more time creating.”
— Sihuo Studio
Video asset workflow
From scattered videos to a local searchable shot library
Start with files on your drive. ShotMind splits videos on your Mac, sends only selected shots for cloud AI analysis, then saves a local searchable index back to your local library.
01
Import local videos
Add videos from your Mac or external drive. Full source videos stay where you keep them while ShotMind creates shot-level entries for review.
02
Analyze selected shots with AI
Choose only useful shots. Those clips are sent to cloud AI for analysis, then the descriptions, thumbnails, and local searchable index return to your local library.
03
Search the saved local library
Find already-analyzed shots by subject, motion, mood, composition, lighting, or a phrase you remember, including when you are offline.
Search by creative intent
Find the frame you mean before you create
Six creative scenarios, one starting point: find the picture first.
"A slow push-in through a cool city night, wet pavement reflections, and a lone figure walking into neon light"
AI video generation reference
Before you write the prompt, find the feeling. Give Runway, Kling, Luma, or Sora a real shot to match — it beats a paragraph of adjectives.
"A clean product close-up with one hand lifting the object, soft highlights revealing a premium metal finish"
Commercial and product shots
Client wants it to feel "premium"? Search "product close-up, soft highlights, slow push" and show them real reference shots.
"Quiet warm indoor B-roll with a slow lateral move, a back-view subject standing in window light"
Editing and B-roll search
Missing a transition or a mood beat? It's probably in your old footage — you just couldn't find it. Now one search brings it up.
"A wide establishing shot of a future city at dusk, symmetrical framing, spacecraft moving between towers"
Pitch and storyboard evidence
Don't describe shots out loud in meetings. Before the pitch, the storyboard, the treatment — line up your references.
"An over-the-shoulder two-person dialogue shot, foreground figure holding the frame, tense low-light interior"
Film and drama blocking
Want to see how similar blocking was shot? Search your own library by shot size, camera position, and performance rhythm.
"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
Motion curves, impact frames, transition rhythm — hard to explain, easy to search. One plain sentence is enough.
Features
What makes the local shot library useful
The value is not only AI analysis; it is the local library that analysis creates. Selected shots become searchable records you can keep and reuse.
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.
Export and move your library
Export a ShotMind archive for backup or migration. It includes analyzed library data, shot clips, thumbnails, and checksums, but not original full-source videos.
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 facts
What does ShotMind do?
ShotMind is a local video asset management and natural-language shot search tool for creators. It splits videos on your Mac, uses cloud AI to analyze selected clips, and saves a local searchable index back to your local library.
Automatic shot splitting
Turn long videos into manageable, searchable shot clips.
Local analyzed library
Analyzed shots, AI descriptions, thumbnails, and a local searchable index are stored in your local library.
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 currently provides a macOS desktop app, and a Windows version is in the future development plan. Full source videos stay on your computer; only selected shot clips are temporarily sent to cloud AI for analysis. New analysis needs cloud service and available Points; already-analyzed library content can be browsed and searched on your Mac.
FAQ
Common questions before you try ShotMind
What is ShotMind?
ShotMind is a video asset management and natural-language shot search tool for creators. It 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 on your computer; only selected shot clips 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.
What still needs cloud AI?
New shot analysis needs cloud AI. Finish fast uses 2 points per selected shot, while Background saves points at 1 point. Only successful new AI results spend Points.
Start building your local shot library
Download the macOS app, import a local video, choose the shots worth analyzing, then save a local searchable index into a local library. After that, find exact visuals with natural language.New shot analysis uses available Points; already-analyzed library content can be browsed and searched locally.
Free macOS download · Local library included. Eligible new users can claim 100 Starter Points for free once in ShotMind Desktop Settings.