Generating combined visual and auditory sensory experiences is critical for immersive content. We introduce SEE-2-SOUND, a training-free pipeline that turns an image, GIF, or video into 5.1 spatial audio. SEE-2-SOUND sequentially: (i) segments visual sound sources; (ii) estimates their 3-D positions from monocular depth; (iii) synthesises mono audio for every source; and (iv) renders the mix with room acoustics. Built entirely from off-the-shelf models, the method needs no fine-tuning and runs in zero-shot mode on real or generated media. We demonstrate compelling results for generating spatial audio from videos, images, dynamic images, and media generated by learned approaches. Project page: https://see2sound.github.io/.