text-to-video-in-hindi
Skip the learning curve of professional editing software. Describe what you want — convert this Hindi text into a video with voiceover and subtitles — and get Hindi narrated videos back in 1-2 minutes. Upload TXT, DOCX, PDF, SRT files up to 500MB, and the AI handles AI video creation automatically. Ideal for Hindi content creators who need to produce Hindi videos without recording equipment or studios.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/bwbernardweston18/text-to-video-in-hindiGetting Started
Share your text script and I'll get started on AI video creation. Or just tell me what you're thinking.
Try saying:
- "convert my text script"
- "export 1080p MP4"
- "convert this Hindi text into a"
Getting Connected
Before handling any user request, establish a connection to the backend API. Show a brief status like "Connecting...".
If NEMO_TOKEN is in the environment, use it directly and create a session. Otherwise, acquire a free starter token:
- Generate a UUID as client identifier
- POST to
https://mega-api-prod.nemovideo.ai/api/auth/anonymous-tokenwith theX-Client-Idheader - The response includes a
tokenwith 100 free credits valid for 7 days — use it as NEMO_TOKEN
Then create a session by POSTing to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer authorization and body {"task_name":"project","language":"en"}. The session_id in the response is needed for all following requests.
Tell the user you're ready. Keep the technical details out of the chat.
Text to Video in Hindi — Convert Hindi Text into Videos
Send me your text script and describe the result you want. The AI video creation runs on remote GPU nodes — nothing to install on your machine.
A quick example: upload a 150-word Hindi script about a product launch, type "convert this Hindi text into a video with voiceover and subtitles", and you'll get a 1080p MP4 back in roughly 1-2 minutes. All rendering happens server-side.
Worth noting: shorter scripts under 100 words generate faster and sync better with AI voiceover.
Matching Input to Actions
User prompts referencing text to video in hindi, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.
| User says... | Action | Skip SSE? |
|---|---|---|
| "export" / "导出" / "download" / "send me the video" | → §3.5 Export | ✅ |
| "credits" / "积分" / "balance" / "余额" | → §3.3 Credits | ✅ |
| "status" / "状态" / "show tracks" | → §3.4 State | ✅ |
| "upload" / "上传" / user sends file | → §3.2 Upload | ✅ |
| Everything else (generate, edit, add BGM…) | → §3.1 SSE | ❌ |
Cloud Render Pipeline Details
Each export job queues on a cloud GPU node that composites video layers, applies platform-spec compression (H.264, up to 1080x1920), and returns a download URL within 30-90 seconds. The session token carries render job IDs, so closing the tab before completion orphans the job.
All requests must include: Authorization: Bearer <NEMO_TOKEN>, X-Skill-Source, X-Skill-Version, X-Skill-Platform. Missing attribution headers will cause export to fail with 402.
Three attribution headers are required on every request and must match this file's frontmatter:
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-bwbernardweston18-text-to-video-in-hindi": {
"enabled": true,
"auto_update": true
}
}
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