Subtitle Generator In Video Free
by @susan4731-wilfordf
add video files into captioned video files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. YouTubers and content creators use it for addin...
clawhub install subtitle-generator-in-video-freeπ About This Skill
name: subtitle-generator-in-video-free version: "1.0.0" displayName: "Subtitle Generator in Video Free β Auto-Generate and Embed Video Subtitles" description: > add video files into captioned video files with this skill. Works with MP4, MOV, AVI, WebM files up to 500MB. YouTubers and content creators use it for adding auto-generated subtitles to videos β processing takes 30-60 seconds on cloud GPUs and you get 1080p MP4 files. metadata: {"openclaw": {"emoji": "π¬", "requires": {"env": ["NEMO_TOKEN"], "configPaths": ["~/.config/nemovideo/"]}, "primaryEnv": "NEMO_TOKEN", "variant": "short_prompts"}}
Getting Started
> Share your video files and I'll get started on AI subtitle generation. Or just tell me what you're thinking.
Try saying:
Automatic Setup
On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".
Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.
Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: . The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).
Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.
Confirm to the user you're connected and ready. Don't print tokens or raw JSON.
Subtitle Generator in Video Free β Auto-Generate and Embed Video Subtitles
This tool takes your video files and runs AI subtitle generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have a 3-minute YouTube tutorial video and want to generate subtitles in English and add them to the video β the backend processes it in about 30-60 seconds and hands you a 1080p MP4.
Tip: shorter clips under 5 minutes process significantly faster.
Matching Input to Actions
User prompts referencing subtitle generator in video free, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.
| User says... | Action | Skip SSE? | |-------------|--------|----------| | "export" / "ε―ΌεΊ" / "download" / "send me the video" | β Β§3.5 Export | β | | "credits" / "η§―ε" / "balance" / "δ½ι’" | β Β§3.3 Credits | β | | "status" / "ηΆζ" / "show tracks" | β Β§3.4 State | β | | "upload" / "δΈδΌ " / user sends file | β Β§3.2 Upload | β | | Everything else (generate, edit, add BGMβ¦) | β Β§3.1 SSE | β |
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.
Skill attribution β read from this file's YAML frontmatter at runtime:
X-Skill-Source: subtitle-generator-in-video-freeX-Skill-Version: from frontmatter versionX-Skill-Platform: detect from install path (~/.clawhub/ β clawhub, ~/.cursor/skills/ β cursor, else unknown)Include Authorization: Bearer and all attribution headers on every request β omitting them triggers a 402 on export.
API base: https://mega-api-prod.nemovideo.ai
Create session: POST /api/tasks/me/with-session/nemo_agent β body {"task_name":"project","language":" β returns task_id, session_id.
Send message (SSE): POST /run_sse β body {"app_name":"nemo_agent","user_id":"me","session_id":" with Accept: text/event-stream. Max timeout: 15 minutes.
Upload: POST /api/upload-video/nemo_agent/me/ β file: multipart -F "files=@/path", or URL: {"urls":["
Credits: GET /api/credits/balance/simple β returns available, frozen, total
Session state: GET /api/state/nemo_agent/me/ β key fields: data.state.draft, data.state.video_infos, data.state.generated_media
Export (free, no credits): POST /api/render/proxy/lambda β body {"id":"render_. Poll GET /api/render/proxy/lambda/ every 30s until status = completed. Download URL at output.url.
Supported formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.
SSE Event Handling
| Event | Action |
|-------|--------|
| Text response | Apply GUI translation (Β§4), present to user |
| Tool call/result | Process internally, don't forward |
| heartbeat / empty data: | Keep waiting. Every 2 min: "β³ Still working..." |
| Stream closes | Process final response |
~30% of editing operations return no text in the SSE stream. When this happens: poll session state to verify the edit was applied, then summarize changes to the user.
Translating GUI Instructions
The backend responds as if there's a visual interface. Map its instructions to API calls:
Draft JSON uses short keys: t for tracks, tt for track type (0=video, 1=audio, 7=text), sg for segments, d for duration in ms, m for metadata.
Example timeline summary:
Timeline (3 tracks): 1. Video: city timelapse (0-10s) 2. BGM: Lo-fi (0-10s, 35%) 3. Title: "Urban Dreams" (0-3s)
Error Codes
0 β success, continue normally1001 β token expired or invalid; re-acquire via /api/auth/anonymous-token1002 β session not found; create a new one2001 β out of credits; anonymous users get a registration link with ?bind=, registered users top up4001 β unsupported file type; show accepted formats4002 β file too large; suggest compressing or trimming400 β missing X-Client-Id; generate one and retry402 β free plan export blocked; not a credit issue, subscription tier429 β rate limited; wait 30s and retry onceTips and Tricks
The backend processes faster when you're specific. Instead of "make it look better", try "generate subtitles in English and add them to the video" β concrete instructions get better results.
Max file size is 500MB. Stick to MP4, MOV, AVI, WebM for the smoothest experience.
Export as MP4 for widest compatibility across platforms.
Common Workflows
Quick edit: Upload β "generate subtitles in English and add them to the video" β Download MP4. Takes 30-60 seconds for a 30-second clip.
Batch style: Upload multiple files in one session. Process them one by one with different instructions. Each gets its own render.
Iterative: Start with a rough cut, preview the result, then refine. The session keeps your timeline state so you can keep tweaking.
π‘ Examples
> Share your video files and I'll get started on AI subtitle generation. Or just tell me what you're thinking.
Try saying:
Automatic Setup
On first interaction, connect to the processing API before doing anything else. Show a brief status like "Setting things up...".
Token: If NEMO_TOKEN environment variable is already set, use it and skip to Session below.
Free token: Generate a UUID as client identifier, then POST to https://mega-api-prod.nemovideo.ai/api/auth/anonymous-token with header X-Client-Id: . The response field data.token becomes your NEMO_TOKEN (100 credits, 7-day expiry).
Session: POST to https://mega-api-prod.nemovideo.ai/api/tasks/me/with-session/nemo_agent with Bearer auth and body {"task_name":"project"}. Save session_id from the response.
Confirm to the user you're connected and ready. Don't print tokens or raw JSON.
Subtitle Generator in Video Free β Auto-Generate and Embed Video Subtitles
This tool takes your video files and runs AI subtitle generation through a cloud rendering pipeline. You upload, describe what you want, and download the result.
Say you have a 3-minute YouTube tutorial video and want to generate subtitles in English and add them to the video β the backend processes it in about 30-60 seconds and hands you a 1080p MP4.
Tip: shorter clips under 5 minutes process significantly faster.