AI Tools उपकरण अद्यावधिक गरियो 3 दिन अगाडि

JSON Prompt Generator

Build a validated video prompt as JSON in a guided 5-step wizard. Pick a starting template, choose a model (Veo, Sora, Kling, Runway Gen-4, Luma Ray 3, or Hailuo), describe the scene, tune the cinematography with clickable chips, and copy a ready-to-paste JSON object. The schema and model limits are fully configurable, and a built-in linter checks any pasted JSON for you.

सधैं निःशुल्क प्रयोग गर्न सजिलो तत्काल परिणामहरू निजी र सुरक्षित

प्रयोग गर्नुहोस् JSON Prompt Generator

यो कसरी काम गर्छ — यो बिल्डर निर्धारक छ: यसले तपाईंको फिल्डहरूबाट प्रम्प्ट तयार गर्छ, यो भिडियो रेन्डर वा जेनेरेट गर्दैन। JSON लाई Veo, Sora, Kling, Runway, Luma, Hailuo जस्ता भिडियो मोडेल UI वा कुनै पनि प्रम्प्ट-टु-भिडियो उपकरणमा प्रतिलिपि गर्नुहोस्। ड्राफ्टहरू तपाईंको ब्राउजर (localStorage) मा रहन्छन् — केही पनि अपलोड हुँदैन।
भिडियो प्रम्प्ट बनाउनुहोस्
मोडेल छान्नुहोस्
  1. 1 सुरु गर्नुहोस्
  2. 2 एआई मोडेल
  3. 3 दृश्य
  4. 4 शैली
  5. 5 समीक्षा

एउटा सुरुवात बिन्दु छान्नुहोस्, वा खालीबाट सुरु गरी आफ्नो शट वर्णन गर्नुहोस्। सबै कुरा पछि परिवर्तन गर्न सकिन्छ।

तपाईंको भिडियो रेंडर गर्ने मोडेल छान्नुहोस्। तलका सीमाहरू चयन गरिएको मोडेलअनुसार लागू हुन्छन्।

Who or what the camera is on. Concrete nouns beat abstractions.
What the subject is doing, with a clear arc the model can render.
Where the action happens - time, place, grounding details.
Spoken line, ambient bed, or SFX. Veo and Sora generate audio; other models ignore it.
तपाईंको छनोट
तत्काल JSON
अपूर्ण

JSON प्रमाणीकरण गर्नुहोस्
रौं

छानिएको मोडेलको स्किमा अनुसार लिन्ट गर्न JSON प्रम्प्ट पेस्ट गर्नुहोस्।

योजनाबद्ध रूपरेखा · 2026-05
सन्दर्भ
मुख्य प्रकार आवश्यक विकल्पहरू / टिप्पणीहरू
subject string * Who or what the camera is on. Concrete nouns beat abstractions.
action string * What the subject is doing, with a clear arc the model can render.
environment string ऐच्छिक Where the action happens - time, place, grounding details.
camera enum ऐच्छिक locked-off static shot slow push-in slow pull-back tracking shot slow pan slow tilt up dolly in dolly zoom vertigo effect smooth orbit around the subject crane up handheld shot aerial drone shot whip pan slow zoom in rack focus
lens enum ऐच्छिक portrait 85mm lens 50mm lens 35mm lens 24mm wide-angle lens 100mm macro lens anamorphic lens 200mm telephoto lens
lighting enum ऐच्छिक golden hour light soft diffused light hard sunlight rim light low-key lighting high-key lighting volumetric light neon light warm practical light overcast light backlit silhouette
grade enum ऐच्छिक teal and orange grade cinematic grade natural grade desaturated grade warm grade cool grade noir black and white grade vintage film grade pastel grade
mood enum ऐच्छिक cinematic energetic serene dreamy moody playful epic intimate nostalgic surreal
audio string ऐच्छिक Spoken line, ambient bed, or SFX. Veo and Sora generate audio; other models ignore it.
duration number *
aspectRatio enum * 16:9 9:16 1:1 4:3 3:4 4:5 21:9
मॉडेल सीमाहरू
मॉडल अडियो अवधि आयाम अनुपातहरू टिप्पणी
Kling AI होइन 1–15s (5 / 10 / 15 seconds) 16:9, 9:16, 1:1, 4:3, 3:4, 21:9 Kling 3.0: kinetic motion, strong physics, per-character lip-sync (Omni). Honors camera and motion; audio ignored.
Veo हो 1–8s (4, 6, or 8 seconds) 16:9, 9:16 Veo 3.1: native synchronized audio and lip-sync. Strongest prompt fidelity on the Google pipeline (Gemini / Vertex AI).
Sora हो 1–60s (up to 60 seconds) 16:9, 9:16, 1:1, 4:5 Sora 2: best-in-class prompt fidelity and native audio. Consumer app closed Apr 2026; API sunsets Sep 24, 2026.
Runway Gen-4 होइन 5–10s (5 or 10 seconds) 16:9, 9:16, 1:1, 4:3, 3:4, 21:9 Gen-4 / Gen-4.5: character references and strong camera control. Audio added in post.
Luma Ray 3 होइन 5–10s (5 or 10 seconds) 16:9, 9:16, 1:1, 4:3, 3:4, 21:9 Dream Machine Ray 3: HDR/EXR output, seamless loops, character references. No native audio.
Hailuo (MiniMax) होइन 5–10s (5 or 10 seconds) 16:9, 9:16, 1:1 Fast and low-cost, excels at high-motion action. No native audio.

उपकरण लिङ्क

क्लिपबोर्डमा प्रतिलिपि गरियो।

यो उपकरण सुधार गर्न मद्दत गर्नुहोस्

सामग्री पढ्नुहोस्

उपकरणले कसरी काम गर्छ र यसलाई कहिले प्रयोग गर्ने भनेर सिक्नुहोस्।

How to Use This Tool

Follow the 5-step wizard and copy the generated JSON into Veo, Sora, Kling, Runway Gen-4, Luma Ray 3, Hailuo, or any prompt-to-video tool. The builder is deterministic: it assembles your inputs into JSON and does not render video.

1. Start

Pick a starting template (Cinematic, Product / ad, Action, or Dreamy) or start blank. Templates pre-fill the style choices so you can jump straight to describing your shot.

2. Select a model

Choose Veo, Sora, Kling, Runway Gen-4, Luma Ray 3, or Hailuo. The wizard adapts instantly: the duration range, allowed aspect ratios, and audio field visibility all follow the selected model. Veo and Sora generate native audio; the other models ignore the audio field but honor camera and motion.

3. Describe the scene

Fill the subject (who or what the camera is on) and the action (what it is doing, with a clear arc). Add an environment for time and place. These are the core of the prompt.

4. Style the shot

Tap chips to pick camera movement, lens, lighting, color grade, and mood, then set the duration. Every option value is validated against the schema and filtered to what the selected model supports.

5. Review and copy

The output updates live and only includes keys with values, in schema order: subject, action, environment, camera, lens, lighting, grade, mood, audio, duration, aspectRatio. Copy it to your clipboard or download it as a .json file.

Validating JSON

Paste any JSON prompt into the Validate JSON section and pick a model. The linter reports missing required keys, unknown keys, invalid enum values, out-of-range durations, and aspect ratios the selected model does not support.

Features

  • Guided 5-step wizard with a progress bar
  • Starting templates plus an example shot
  • Clickable chip selectors instead of plain dropdowns
  • Configurable schema, templates, and model limits from a single config file
  • Per-model duration clamping and aspect ratio filtering
  • Built-in JSON linter with per-model checks
  • Bundled schema reference table
  • Draft auto-save in the browser (localStorage)
  • Copy JSON, download .json, and Ctrl/Cmd+Enter to copy

बारम्बार सोधिने प्रश्नहरू

परिणाममा विश्वास गर्नु अघि प्रयोगकर्ताहरूले सोध्ने प्रश्नहरूको छोटो उत्तरहरू।

The output uses these keys in order: subject, action, environment, camera, lens, lighting, grade, mood, audio (Veo/Sora only), duration, and aspectRatio. Required keys are subject, action, duration, and aspectRatio.

No. It is a deterministic builder that arranges your inputs into JSON. Paste the output into a video model UI such as Veo, Sora, Kling, Runway, Luma, or Hailuo to generate the actual video.

Only Veo and Sora generate native audio, so the audio field is hidden for Kling, Runway Gen-4, Luma Ray 3, and Hailuo. The linter still warns if you paste JSON that includes an audio key while linting against those models.

Veo: 1–8s at 16:9 or 9:16. Sora: 1–60s at 16:9, 9:16, 1:1, or 4:5. Kling: 1–15s at six ratios. Runway Gen-4 and Luma Ray 3: 5–10s at six ratios. Hailuo: 5–10s at 16:9, 9:16, or 1:1. The schema table shows the exact limits.

No. Everything runs in your browser. Your draft is saved only in your browser's local storage and is never transmitted anywhere.

Yes. Models, templates, durations, aspect ratios, and enum options are defined in config/json-prompt-generator.php. The tool reads everything from that single config file.

टिप्पणीहरू (0)

प्रयोगकर्ता छलफल, असामान्य अवस्थाहरू, र थप सुझावहरूका लागि।
टिप्पणी गर्नुहोस्
तपाईंको टिप्पणी पेश गरेपछि सार्वजनिक रूपमा देखिनेछ।
अहिलेसम्म कुनै टिप्पणी छैन। पहिलो टिप्पणी गर्नुहोस्!
हामीलाई जानकारी दिनुहोस्!

यस उपकरणमा समस्या रिपोर्ट गर्नुहोस्

तपाईंले भोग्नुभएको समस्या वर्णन गर्नुहोस् ताकि हामी अनुसन्धान गरी उपकरण सुधार गर्न सकौँ।

सबैभन्दा बढी मद्दत गर्ने कुरा
इनपुट, अपेक्षित परिणाम, वास्तविक परिणाम, ब्राउजर/उपकरण, र सहयोगी भएमा स्क्रिनशट समावेश गर्नुहोस्।
स्क्रीनशट बटनले ब्राउजरमा रहेको पृष्ठ कैद गरी उत्पन्न गरिएको छवि यस फारममा संलग्न गर्दछ।
पूर्ण-पृष्ठ स्क्रिनशट
तपाईंको ब्राउजरमा html2canvas द्वारा कैद गरिएको।
अहिलेसम्म कुनै स्क्रिनसट लिइएको छैन।
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