Sora AI Prompts: Complete Guide to Video Prompt Engineering

Strong Sora prompts hit five parts in order: 1) SUBJECT (what / who specifically), 2) ACTION (what they're doing), 3) ENVIRONMENT (where, atmosphere), 4) CAMERA (shot type, motion, lens), 5) STYLE (cinematic / documentary / specific reference). Skipping any = generic output. Stacking all five = controlled output.

Reusable template: "A [SUBJECT detailed] [ACTION specific] in [ENVIRONMENT atmospheric]. Camera [CAMERA MOVE]. Shot on [LENS specifics], style of [REFERENCE]. Duration [SECONDS]." Fill each bracket with specific concrete details. The more specific, the better.

Sora rewards specificity. "A person walking" = generic output. "A 30-year-old woman with short dark hair, oversized wool coat, walking purposefully through a Brooklyn sidewalk in autumn" = controlled output. Each specific detail anchors Sora's generation.

Sora's strongest territory: single subject + atmospheric environment + slow camera motion + cinematic style. Example: "A vintage convertible drives slowly along a coastal road at golden hour. Camera tracks alongside. Shot on 35mm film, anamorphic lens. Style of Wes Anderson. 10 seconds."

Sora handles macro shots well. Single subject + tight framing + slow motion = strong output. Example: "Macro shot of olive oil pouring from a small bottle into a mortar with garlic. Slow-motion 240fps look. Side angle. Soft kitchen lighting. 6 seconds."

Sora handles aerial nature shots well. Example: "Wide aerial drone shot of misty mountain valley at dawn. Pine forest below, layered ridgelines. Camera slowly orbits clockwise. 4K, color graded warm. 10 seconds."

Sora handles static-camera + slow-motion-subject very well. Example: "A glass marble dropped onto hardwood. Camera locked at low angle. Slow-motion 240fps appearance. Marble bounces three times. 8 seconds. Sharp impact sounds."

Sora struggles with multi-person dialogue scenes (lip-sync, character consistency, complex interaction). Workaround: avoid dialogue entirely or generate visuals + record audio separately. Multi-person scenes work better as silent or B-roll style.

Sora often produces incorrect hands in close-ups (extra fingers, distorted shapes). Workaround: avoid hand close-ups OR use top-down hand shots (more reliable than side angles). For showing detail, choose subjects without hands when possible.

Sora cannot reliably render legible text (signs, screens, books, etc.). Workaround: Use placeholder text in prompts ("phone shows clean home screen interface"). Avoid prompts that depend on specific readable text.

Sora struggles with fast action involving complex subjects (multi-character chase scenes, intricate sports moves). Workaround: slow motion, single subject focus, or freeze-frame moments instead of full action sequences.

Use case: cinematic mood. "A woman in a long cream coat stands at the edge of a foggy lake at dawn. She is not moving. Soft mist rises from the water. Camera slowly pushes forward toward her from behind. Shot on 50mm lens, soft natural light. Style of Andrei Tarkovsky. 12 seconds. Silent."

Use case: character reaction. "A man in his 50s sits alone at a small kitchen table reading a letter. His expression shifts subtly to surprise as he reads. Hold the moment. Camera holds steady at table level. Shot on 85mm lens, soft window light. 8 seconds."

Use case: B-roll. "Top-down shot of hands typing on a wooden desk keyboard. Coffee cup, notebook, plant at edges of frame. Warm desk lamp light from upper right. Camera locked. 4K, shallow depth on hands. 8 seconds."

Use case: product reveal. "A premium wristwatch on pure black background. Single hard light from upper right, deep shadows. Camera slowly orbits 90 degrees. Watch face shows logo clearly throughout rotation. Macro lens, 4K. 8 seconds. Polished commercial style."