A video summarizer watches or listens to a video and gives you a short written summary, often with timestamps pointing to key moments.
In plain words
One approach sends the video to a multimodal model. Google's Gemini API, for example, samples frames from the video, one per second by default, and can describe it, answer questions about it and refer to timestamps. Another approach transcribes the soundtrack with a speech recognition model and summarises the transcript, which suits talks and lectures, where most of the content is spoken.
A quick example
Gemini's docs show a request that uploads a video file, or passes a public YouTube link, with the instruction to summarise the video in three sentences.
Where you'll meet it
- Skimming lectures, talks and tutorials.
- Chapter markers and highlights for long videos.
Related
Sources
- DocsVideo understanding, Google AI for Developers (Gemini API) · read 13 Oct 2026
- DocsSummarization, Hugging Face Tasks · read 29 Sept 2026
- DocsAutomatic Speech Recognition, Hugging Face Tasks · read 29 Sept 2026
Checked by WhatIsAI against the sources above · 13 Oct 2026. Spotted an error? Report it.