Which AI video model is best for POV and over-the-shoulder shots?

Seedance 2.0 reference-to-video is the strongest documented model for POV and over-the-shoulder shots — it accepts a reference clip plus character and location references in a single generation, so an established camera position carries into the output. No model nails these angles from text alone; documented productions got their best results by switching models per shot.

Route POV and over-the-shoulder shots to Seedance 2.0 reference-to-video first: it ingests character references, location references, and full reference footage simultaneously — extend, by comparison, accepts neither character nor location references — and it reads camera context from the reference material, so the camera position you establish (eye height for POV, behind the shoulder for OTS) continues into the next generation with matched movement and framing. invideo is an agentic video creation tool with all the current models — Seedance 2.0, Kling, Veo, Runway — so you never pick a platform per model; the invideo agent routes each shot to the right one.

For over-the-shoulder specifically, plan a model switch at the frame stage. OTS framing is a documented weak point of the Nano Banana image model that prompting alone does not resolve. In one documented production, the invideo agent audited the existing image assets, redirected to an alternative model with its own prompting strategy, and the resulting shots made the final edit of a professional 2-minute promo; the same agent-directed approach landed a complex top-down shot on the first generation attempt after manual prompting had failed. The practical verdict: the best "model" for these angles is a routing layer that pivots when one model breaks on a shot type.

Where the other roster models fit: Kling 3.0 generates multi-shot sequences natively, which suits OTS dialogue coverage built as a sequence rather than isolated clips; Seedance 2.0 reference-to-video carries character context across clips, which is what keeps the foreground shoulder and the subject consistent shot to shot. Runway and Veo handle these angles from text with mixed results — whichever you start on, anchor the generation with reference inputs rather than shot-name shorthand.

Two adjacent points worth knowing: describe the physical camera setup in your prompt ("camera at shoulder height behind the character, looking over the left shoulder at the subject's eye-line") rather than just writing "POV" or "OTS" — and if text still misses, a quick reference video of the angle uploaded to the invideo agent anchors the generation. Whichever model you route to, budget multiple takes: one documented production averaged 3 generations per usable shot.

Watch some of these to see what works for you:

Reference to video does a better job because with Xtend, you can't add character references, you can't add other location references, but on reference to video, you can.

— invideo's creative team