How to analyse a long video with AI
A two-hour recording is useless if you cannot find the ten seconds you need. Video analysis turns footage into something searchable: what was said, what was shown, when, and answers to questions about it. It works for lectures, interviews, meetings, surveillance and raw b-roll alike.
Transcript is only half of it
Speech-to-text gives you the words. Video understanding models also describe what is on screen: a slide title, a product being held up, a person leaving the room, a chart appearing. Combined, you can ask 'when does she show the pricing slide?' and get a timestamp even if nobody said the word 'pricing'.
Good analysis returns timestamps for every statement and scene, so a result is a place to jump to, not a paragraph to read.
What to ask
Summaries are the least interesting output. Better questions: list every decision made and who made it; find every moment a specific object appears; give me the exact quote about X with its time; compare what was promised in minute 5 with what was shown in minute 40. Treat the analysis as a searchable witness, not a summariser.
How to do it in Vyndexo
Upload
Open Deep Video Analyze from the sidebar and drop in the file or paste a link. Long files are fine; processing cost is shown per minute of video before you confirm.
Wait for the index
The video is transcribed and visually indexed once. After that, every question is answered from the index without re-processing.
Ask and jump
Ask in plain language. Each answer carries timestamps; click one to jump the player to that moment.
Keep it
The analysis stays in your project. Share it into a Space so a teammate can search the same video.
Common questions
How long can the video be?
Hours. Cost scales with length, and you see the total before processing starts.
Which languages are supported?
Transcription covers the major languages; questions can be asked in any language the chat models understand.
Is the video used to train anything?
No. Uploads are stored for your workspace only and can be deleted at any time.