Pain point
Too much footage
Old videos pile up fast, but most creators never reuse them because digging manually takes too long.
For YouTubers and video creators
AI that finds the exact clips you want in your local video library.
If you make Shorts, YouTube videos, podcasts, interviews, or long-form content, you already have great material buried in old footage. TraceVid is built around one job first: helping you recover the right moment quickly without uploading your whole archive to the cloud. You can start from your own folders, mounted NAS folders, or import supported source links from YouTube, Facebook, Instagram, X into the same local library, then ask AI about the clips you selected instead of chatting from a blank prompt.
You can start free with default credits included, so the first step is trying the real workflow on your own archive before deciding whether you need a paid plan.
Product introduction
Watch the product overview
See how TraceVid imports videos, searches for exact moments, and helps you reuse footage from your local archive.
What TraceVid does
Finds the right part
Search by what was said, what happened on screen, or the kind of moment you want to bring back.
Why it matters
More content from what you already made
Reuse your best footage, hooks, lessons, and talking points without starting from zero every time.
URL import for creators
Bring source videos in from the web before you search them.
TraceVid is not limited to folders that are already on disk. Paste a supported single-video URL, download it into your chosen local folder, and let it join the same searchable archive as the rest of your footage.
YouTubeFacebookInstagramX
What this adds
Recover from creator platforms
Pull videos into TraceVid even when they did not start in your local folder structure.
Keep downloads local
Imported videos still land in your own chosen download folder, so the archive stays on your machine.
Search them like everything else
Once imported, URL-sourced videos can be indexed, searched, and reused just like any other item in your library.
Video Library
Turn scattered footage into a clean local video library
Import local folders or NAS-backed folders, keep the source archive on your own storage, and organize everything before you spend credits on deeper AI work.
Local foldersNAS-backed foldersReady for later analysis
Quick read
All local
source files stay on your machine
What you see
Real desktop product screenshots from the current app, without decorative mock cards.
How creators actually use it
You are not buying another complicated editing tool.
TraceVid is for the moment when you know the clip exists somewhere in your archive, but you do not want to scrub through old videos, folders, and transcripts just to find it again. The product starts with search and reuse, not with a big upfront commitment.
01
Build a usable library first
Start with local folders, NAS-backed folders, or supported source URLs, then let TraceVid turn scattered footage into a library you can browse, sort, and revisit without moving raw files into a cloud bucket.
02
Search with intent, not just filenames
Search by spoken ideas, scene meaning, or the kind of moment you want to recover, then inspect the strongest hits before spending more time.
03
Ask AI from selected clip evidence
Keep the best clips selected and send that evidence into Ask AI, so summaries, ideas, and takeaways are grounded in footage you actually chose.
Chat with video
Ask AI about selected clips, not from a blank prompt.
TraceVid is not just for finding clips. After search, you can keep the strongest moments selected and ask AI to summarize, compare, extract takeaways, or suggest directions based on video evidence you actually chose.
What that changes
Ground the chat in selected evidence
Search first, keep the best clips selected, and build AI context from those video moments instead of relying on memory alone.
Ask better archive questions
Use the selected clips to ask for summaries, comparisons, patterns, creative directions, or reusable takeaways from old footage.
Stay closer to the source footage
The workflow stays retrieval-first: recover the right moments, then talk to those moments with AI before you decide what to make next.
YouTube archive reuse
Start with the exact archive job you are trying to solve.
These pages now focus on the stronger hub queries we want Google to understand: old YouTube archive reuse, transcript-led clip recovery, and mixed B-roll plus spoken-moment search.
For YouTube creators
Find clips from old YouTube videos and reuse old footage for Shorts
TraceVid helps YouTube creators search old local exports, downloads, drafts, and archive footage so strong clips do not stay buried in the back catalog.
Search by transcript
Find clips from spoken moments when you remember the line but not the file
Use transcript-aware search to recover spoken moments, quotes, hooks, and lessons from old footage, then jump back to the exact clip that matters.
Search visual
Find silent scenes and B-roll without losing spoken moments from the same archive
TraceVid combines transcript-aware and visual retrieval so creators can search product shots, setup scenes, reaction cuts, and spoken moments from one workflow.
Positioning
Retrieval-first, local-first, and built for real creator archives.
The product is strongest when your bottleneck is finding the right clip from old footage. Script drafting and other AI layers matter, but they sit downstream of the retrieval job.
Free to start
Start free, then add credits only when the AI-heavy work grows.
The local library layer stays usable without forcing a purchase first. Paid plans are for heavier AI search, analysis, and chat usage after you validate the workflow.
Free
$0/mo
150 AI credits included each month
Starter
$10/mo
10,000 AI credits included each month
Pro
$20/mo
24,000 AI credits included each month
MAX
$60/mo
80,000 AI credits included each month
High-intent pages
Search tasks and recommendation queries we answer directly
These pages are written so both search engines and conversational AI can understand what TraceVid actually does, where it fits, and what jobs it is good at.
Local-first search
Local video search software for creators who do not want a cloud-first archive
TraceVid is local-first video search software for creators who need transcript-aware and visual retrieval across old footage they already own.
Search by transcript
Find clips from spoken moments when you remember the line but not the file
Use transcript-aware search to recover spoken moments, quotes, hooks, and lessons from old footage, then jump back to the exact clip that matters.
Chat with video
Chat with video clips after search so the conversation starts from selected evidence
TraceVid lets creators ask AI about selected clips after retrieval, so summaries, comparisons, and next-step ideas stay grounded in video moments they actually chose.
How it works
How to search content from videos step by step without moving your archive first
See the TraceVid workflow for searching old footage step by step: organize local sources, search by intent, review clips, then keep the strongest evidence for reuse.
For YouTube creators
Find clips from old YouTube videos and reuse old footage for Shorts
TraceVid helps YouTube creators search old local exports, downloads, drafts, and archive footage so strong clips do not stay buried in the back catalog.
Search visual
Find silent scenes and B-roll without losing spoken moments from the same archive
TraceVid combines transcript-aware and visual retrieval so creators can search product shots, setup scenes, reaction cuts, and spoken moments from one workflow.
NAS workflow
Add videos from NAS to your video library without moving them into a cloud bucket
Learn the intended TraceVid workflow for NAS-backed archives on macOS and Windows, including mounted shares, mapped drives, and UNC paths.
Product fit
Proof pages that clarify fit, limits, pricing, and platform support
Feature matrix for creator video search and archive retrieval workflows
Review the product shape behind TraceVid: local archive ownership, transcript-aware retrieval, visual recall, selected clips, and Ask AI from evidence.
Supported platforms for TraceVid and what local desktop support really means
TraceVid currently offers public desktop downloads for Windows x64, macOS Intel, and macOS Apple Silicon as part of a local-first archive workflow.
Why local-first video search matters for privacy, speed, and archive control
TraceVid keeps source footage in the user’s own archive structure by default, then applies AI selectively where retrieval value is worth the cost.
TraceVid pricing explained: what monthly credits pay for and what stays free
Understand how TraceVid separates the free local archive layer from AI-heavy retrieval, analysis, and Ask AI workflows.
TraceVid limitations and fit: when retrieval-first is the right answer and when it is not
TraceVid is strongest when the problem is finding exact clips from a local archive faster. This page explains where that fit ends.
Ready to try the current product?
Spend less time hunting through old footage, and more time turning it into your next video.
Support questions
FAQ
Can TraceVid import videos directly from web links?
Yes. The current desktop app can import supported single-video URLs from YouTube, Facebook, Instagram, and X, download them into your chosen local folder, and add them to the same searchable library as your existing footage.
Can TraceVid find both spoken lines and visual moments?
Yes. You can use TraceVid to find parts where someone said something important, and also moments that matter visually even if nobody said the exact words. That is especially useful for YouTube videos, interviews, podcasts, demos, and short-form repurposing.
What makes TraceVid AI chat different from a normal chat box?
TraceVid AI chat is designed around selected clips. Instead of asking AI from a blank prompt, you first search, keep the best clips selected, and then ask questions grounded in those video moments. That makes the output more useful for summaries, comparisons, creative directions, and archive reuse decisions.
What if macOS blocks TraceVid or asks for permission?
TraceVid is distributed outside the Mac App Store, so macOS may block the first launch. Move TraceVid.app into Applications, right-click and choose Open, then finish the approval flow in System Settings > Privacy & Security if macOS shows Open Anyway. If macOS asks for folder-related access during normal use, approve the prompt and reopen the action you were trying to complete.
Will my videos be uploaded?
No! Your source videos stay on your own computer by default. TraceVid is built to help you search and reuse footage without forcing you to upload your full video library to the cloud.
How do Credits work in TraceVid?
Credits are used for AI-heavy actions such as video analysis, AI content search, and AI chat. Local file ownership, browsing, and basic library organization are not metered. Signup trial credits can be used before you subscribe. Extra credit packs stay in your account, but an active membership is still required before purchased pack credits can be used again.
TraceVid
Local-first video search for creators who need to recover exact clips, visual moments, and reusable evidence from old footage faster.