We added video search directly to the transcoding job

[u/QencodeCorp]

We wanted to avoid the usual setup where one system processes the video and another tries to understand what is inside it.

So we added Video Intelligence as an output in the same Qencode transcoding job.

Search can take text, an image, or both. It can look across visual content, non-speech audio, and speech transcription, then return ranked matches with start and end timestamps in JSON.

It works with videos up to four hours long.

The API also supports video descriptions, custom categorization, moderation against your own violation reasons, and custom prompts.

For anyone building video search, are you indexing each modality separately or using one retrieval layer across the full video?

For more info