Hindi AI Video: Diwali Greetings and Explainer Translation

Searches for Hindi AI video have taken off in India, and most video models still mangle Devanagari: broken matras, wrong conjuncts, random English. For brands and creators publishing in Hindi, that has been a hard blocker.

So I tested Google's Gemini Omni 1.2 Flash on Segmind on two Hindi jobs: a Diwali greeting with Devanagari written on screen from a text prompt, and a one-call translation of a finished English explainer into Hindi. Both are below with the exact prompts and costs.

1. A Diwali greeting with Devanagari written stroke by stroke

'शुभ दीपावली' wrote itself on stroke by stroke and was spelled correctly. The diyas lit one by one, and the English line and brand landed last, in order. The brand name came out small and slightly stylised, so check it at full size. For agencies making festive greetings in regional languages, this one result is worth the integration: 60 cents and 41 seconds, with sound.

2. Translating a finished explainer into Hindi in one call

I took an English claymation explainer I had generated (how I made it) and sent it to video-edit with a mapping of every label to Devanagari, plus the full Hindi narration.

The title and three of four labels came back in correct clay Devanagari, in the same places, with timing matched frame for frame. The wind-arrow label stayed in English and there was one stray letter. It was also my slowest and priciest call. I checked the frames visually but have not yet reviewed the Hindi narration by ear, so listen before you ship.

Even with one miss, translating a finished explainer in a single call is a big deal for MCNs, edtech and news teams publishing in several languages. A quick re-roll or a second edit for the missed label gets you the rest of the way.

My rules for Hindi AI video

• Put the exact Devanagari in quotes, then repeat it at the end: "The Devanagari must be spelled exactly 'शुभ दीपावली'".
• For localisation, map every label explicitly: "'ARABIAN SEA' becomes 'अरब सागर'". Do not just say "translate to Hindi".
• Write the full narration in Hindi in the prompt rather than asking the model to translate it.
• Expect one miss in a multi-label edit and check every text element frame by frame.
• Describe the reveal: "writes itself on stroke by stroke", "diyas rise one by one". Omni follows ordered beats well.

The code

import requests

r = requests.post(
    "https://api.segmind.com/v1/gemini-omni-1.2-flash-video-edit",
    headers={"x-api-key": "YOUR_SEGMIND_API_KEY"},
    json={
        "video": "https://your-cdn.com/english-explainer.mp4",   # 15 s max
        "prompt": "Localise this explainer into Hindi. 'ARABIAN SEA' becomes 'अरब सागर', ... "
                  "Keep the map, animation, timing and music exactly the same.",
        "reference_images": [],   # optional, e.g. a product shot for a swap
    },
)
r.raise_for_status()
open("edit.mp4", "wb").write(r.content)   # duration and aspect ratio follow the source

For greetings from scratch, use text-to-video. For translating existing clips, use video-edit (source up to 15 seconds).

FAQ

Can AI generate Hindi text in video correctly?

Yes. Gemini Omni 1.2 Flash rendered quoted Devanagari correctly in my tests, including a stroke-by-stroke write-on of 'शुभ दीपावली'.

Can AI translate a video into Hindi?

Yes. One video-edit call replaced the title and three of four labels with correct Devanagari and kept the timing. One label stayed in English, so check every text element.

How much does a Hindi AI video cost?

My 8-second 720p Diwali greeting cost $0.60. The 12-second Hindi translation edit cost $1.00.

Can I make Diwali greeting videos with AI for my brand?

Yes. Describe the greeting, the reveal order and your brand line in quotes. Keep the brand name large enough to read on a phone.

Try Gemini Omni 1.2 Flash on Segmind and make your first Hindi AI video today.

Test notes: all tests ran on 05 Nov 2026 on Segmind. KAAPI THEORY and the generated people are fictional. Real footage is free-licence stock from Mixkit. Input images were made with Nano Banana Pro. Every Omni output carries SynthID and C2PA.