Video Finder

Why Use a Video Finder

Upload a video. Every word, every speaker turn, every readable on-screen element gets pulled into a single searchable index. Type a phrase and the player jumps to the exact second where it happens.

The index runs on three passes:

1. Transcript - speech-to-text with punctuation and sentence boundaries, so phrases stay intact instead of fragmenting across word chunks.
2. Visual OCR - text shown in slides, lower thirds, whiteboards, and shared screens is captured frame-by-frame, which lets you find a chart label or a quoted name even if no one read it aloud.
3. Speaker labels - diarization tags who said what, so you can filter “find the part where Sarah pushed back on pricing” instead of scrubbing through every voice.

Paste a URL or drop a file. Two or three minutes later you have a clickable index. Each match links back to the timestamp it came from, so a single click sends the playhead to 00:14:32 and starts playback right there.

• Phrase and natural-language queries, both work
• Direct timestamp links you can paste into Slack or a brief
• 95%+ transcription accuracy across 95+ languages
• MP4, AVI, MOV, WMV, plus YouTube and direct URLs
• Build time runs in parallel, so a two-hour video finishes about as fast as a ten-minute one

How to Search Inside Video Content

1. Upload your file or paste a URL
2. The AI transcribes audio and indexes visual elements
3. Type a keyword, phrase, or question
4. Review timestamped results and click to jump to a moment
5. Export clips or share timestamped links

Search by Video Upload

Upload a short clip to locate the full source recording, match partial videos to originals in your library, or find similar moments across multiple files. Audio snippets work too, which is useful when you only have a quote and need the video it came from.

Video Finder vs Other Video Search Tools

The comparison set below is real video-search software, not generic transcription. Each one indexes spoken content; what differs is whether you can search across many videos at once, whether the matching is keyword-only or semantic, whether speakers are filterable, and how fast you can land on the right second.

Feature	ScreenApp	Reduct.Video	CoNote	Trint	Sonix	YouTube native
Search across multiple videos	Yes, full library	Yes, project-scoped	Yes, workspace-scoped	Yes, within story groups	Yes, folder-scoped	No, single video only
Semantic vs keyword	Both (semantic + keyword)	Keyword and phrase	Keyword and tags	Keyword	Keyword	Keyword (titles/desc only)
Speaker filter	Yes, diarized	Yes, named speakers	Limited	Yes, named speakers	Yes, diarized	No
Jump-to-timestamp UX	One click, second-precision	Highlight to play	Click result row	Click in transcript	Click in transcript	Chapter markers only
Supported sources	Upload, URL, YouTube, screen recording	Upload, Zoom, Drive	Upload, Zoom, Meet	Upload, Zoom, S3	Upload, URL, Dropbox	YouTube only
Pricing entry	$19/month annual	$30/month per seat	$25/month per seat	$80/month	$22/month (10h)	Free

Reduct.Video is built for editorial teams cutting documentary footage, so search is excellent but the workflow assumes you are heading toward an edit. CoNote leans into meeting tagging and shared notes, which is great for teams but light on bulk archive search. Trint and Sonix are transcription-first, so search works inside a transcript but the cross-library query story is weaker. YouTube’s own search only matches titles, descriptions, and creator-added chapters; it does not look inside the spoken content. ScreenApp combines semantic and keyword matching, indexes visuals as well as audio, and lets you query an entire library in one go.

YouTube Video Finder

Paste a YouTube URL and the tool transcribes and indexes the full video, so you can search inside the content instead of just titles and descriptions. Type a keyword or phrase to jump to the moment it was spoken.

This is useful for reviewing long lectures, pulling quotes from interviews, or finding a specific topic inside a multi-hour stream. It works on videos of any length and returns exact timestamps for every match.

Who It’s For

Legal teams searching depositions. A paralegal preparing a summary judgment motion needs every instance where the deponent mentioned “indemnification” across nine days of testimony. Speaker-filtered search returns each match with a timestamp and the surrounding sentence, ready to drop into a citation.

Podcasters mining their archive for clips. Three years of episodes, hundreds of hours, and a host who knows there is a great two-minute story about “the time I almost got fired” buried somewhere. Phrase search finds the moment in seconds, the timestamp goes straight into the audio editor, and the clip ships the same day.

Sales coaches finding objection-handling moments. A manager reviewing call recordings wants every time a rep heard “it’s too expensive” and what they said next. Semantic search picks up “out of budget,” “pricing concern,” and “we’d need to come down” too, so the coaching session has real examples rather than hypotheticals.

Qualitative researchers coding interviews. Twenty hours of user interviews need to be tagged for themes like “trust,” “onboarding friction,” and “feature requests.” Search-and-tag is much faster than re-watching, and exact quotes pulled with timestamps go straight into the research report.

For meetings specifically, the meeting recorder creates searchable transcripts automatically, and the AI note taker generates structured notes from the same recordings.

Beyond keyword search, the rest of the video analysis stack covers different questions: the video analyzer handles scene detection and shot-level segmentation, the AI video detector flags deepfakes and synthetic edits, the AI video watcher answers free-form Q&A on the full video, and the video textual emotion detector scores sentiment turn by turn across the transcript.

Videos upload over HTTPS, transcripts are stored encrypted, and nothing you upload is used to train AI models. You can delete content permanently at any time.

FAQ

What is a video finder?

A tool that searches inside video content to find specific moments. It uses AI transcription to create a searchable index, letting you jump to any word or topic instantly.

How does search by video work?

Upload your file, then AI transcribes and indexes the content. Type keywords to find moments, and results show exact timestamps where your terms appear.

Can I find video by clip for free?

Yes, upload videos to search content for free. The service includes AI transcription, timestamped results, and clip location features.

What is video search online?

A service that finds content inside videos using your browser. No software installation needed, upload files and search immediately.

What is a YouTube video finder?

A YouTube video finder searches inside YouTube video content to locate specific moments, quotes, and topics. Unlike YouTube’s built-in search that only checks titles, this tool indexes the actual spoken and visual content, letting you find exact timestamps where keywords appear.

How accurate is the video source finder?

The service achieves 95%+ transcription accuracy. AI handles background noise, multiple speakers, and technical terms across 95+ languages.

How do I search for a video online?

Upload the file or paste the URL and type what you are looking. The tool returns timestamped matches wherever your phrase appears in the spoken content. Works on MP4, MOV, WebM, and direct YouTube links.

How do I find a video I’ve seen?

If you remember a phrase from it, paste or upload the file and search the phrase. If you only remember a visual detail, describe it and the analyzer indexes frame content too. Results come back with exact timestamps and thumbnails.

How do I find the source of a video?

Search the video’s content against public videos indexed on the platform. Paste the URL or upload the clip; the tool returns matches with confidence scores and timestamps so you can verify the origin.