Turn your own video into a time-coded annotation (JSON/JSONL) with one API call

Teams training world models, robot policies (VLA) and video generators all hit the same step: hours of footage that need language attached to time. What is said and when, what is in view every few seconds, what text is on screen. Hand-labelling is slow, and running a large multimodal model over every frame is expensive. LinkDigest already reads... Weiterlesen: Turn your own video into a time-coded annotation (JSON/JSONL) with on…