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Ai Subtitle Generator Free

v1.0.0

Turn a 3-minute YouTube tutorial video into 1080p captioned video files just by typing what you need. Whether it's adding subtitles to videos for free or qui...

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Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for mory128/ai-subtitle-generator-free.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Ai Subtitle Generator Free" (mory128/ai-subtitle-generator-free) from ClawHub.
Skill page: https://clawhub.ai/mory128/ai-subtitle-generator-free
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Required env vars: NEMO_TOKEN
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install ai-subtitle-generator-free

ClawHub CLI

Package manager switcher

npx clawhub@latest install ai-subtitle-generator-free
Security Scan
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medium confidence
Purpose & Capability
The skill advertises server-side subtitle generation and the SKILL.md shows APIs to upload videos, create sessions, and request renders — this aligns with the stated purpose. The required credential (NEMO_TOKEN) is appropriate for access to the described API. However, the SKILL.md frontmatter lists a config path (~/.config/nemovideo/) while the registry metadata earlier reported no required config paths — an internal inconsistency worth clarifying.
Instruction Scope
Runtime instructions explicitly direct the agent to upload user video files and to POST/GET to mega-api-prod.nemovideo.ai endpoints (session creation, upload, SSE chat, render polling). That is expected for this function, but it does mean user media and derived metadata are transmitted off‑device to a third‑party service. The SKILL.md also prescribes deriving an X-Skill-Platform header by inspecting install paths (e.g., ~/.clawhub/ or ~/.cursor/skills/) — that implies the agent might read the filesystem to detect install location, which is not strictly necessary to provide core functionality and should be explained/justified.
Install Mechanism
Instruction-only skill with no install spec or code files — lowest install risk. No downloads or extracted archives are specified.
Credentials
Only NEMO_TOKEN is declared as required (primary credential), which matches the described API usage. The frontmatter also references a config path (~/.config/nemovideo/) that would grant access to local config if the agent reads it — the top-level registry summary listed no required config paths, so that discrepancy should be resolved. The skill advises generating an anonymous token if none is present (reasonable), and it instructs not to print tokens.
Persistence & Privilege
No always:true, no install-time persistence requested, and the skill does not claim to modify other skills or system-wide settings. Autonomous invocation is allowed (platform default) but not a separate concern here.
What to consider before installing
Before installing, understand this will upload your videos (and likely metadata) to mega-api-prod.nemovideo.ai for server-side processing — if your content is sensitive, do not proceed without checking the service's privacy/security terms. Confirm whether you trust the Nemo service and whether you prefer to use an anonymous, short‑lived token (the skill documents how to obtain one). Ask the publisher to resolve the metadata inconsistency about config paths (SKILL.md frontmatter lists ~/.config/nemovideo/ but registry data lists none) and to explain why the agent must detect the install path (that may require reading your home directory). If you want higher assurance, request a hosted homepage, source repository, or code samples so you can verify exactly what data is sent and how tokens are stored/used.

Like a lobster shell, security has layers — review code before you run it.

Runtime requirements

💬 Clawdis
EnvNEMO_TOKEN
Primary envNEMO_TOKEN
latestvk9736yycb3k8sq7sqfzyd1gj0985ks26
38downloads
0stars
1versions
Updated 1d ago
v1.0.0
MIT-0

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:

  • "add my video files"
  • "export 1080p MP4"
  • "generate subtitles in English and add"

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: <uuid>. 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.

AI Subtitle Generator Free — Generate and Embed Video Subtitles

Send me your video files and describe the result you want. The AI subtitle generation runs on remote GPU nodes — nothing to install on your machine.

A quick example: upload a 3-minute YouTube tutorial video, type "generate subtitles in English and add them to my video", and you'll get a 1080p MP4 back in roughly 30-60 seconds. All rendering happens server-side.

Worth noting: shorter clips under 5 minutes generate subtitles noticeably faster.

Matching Input to Actions

User prompts referencing ai subtitle generator free, aspect ratio, text overlays, or audio tracks get routed to the corresponding action via keyword and intent classification.

User says...ActionSkip 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 calls go to https://mega-api-prod.nemovideo.ai. The main endpoints:

  1. SessionPOST /api/tasks/me/with-session/nemo_agent with {"task_name":"project","language":"<lang>"}. Gives you a session_id.
  2. Chat (SSE)POST /run_sse with session_id and your message in new_message.parts[0].text. Set Accept: text/event-stream. Up to 15 min.
  3. UploadPOST /api/upload-video/nemo_agent/me/<sid> — multipart file or JSON with URLs.
  4. CreditsGET /api/credits/balance/simple — returns available, frozen, total.
  5. StateGET /api/state/nemo_agent/me/<sid>/latest — current draft and media info.
  6. ExportPOST /api/render/proxy/lambda with render ID and draft JSON. Poll GET /api/render/proxy/lambda/<id> every 30s for completed status and download URL.

Formats: mp4, mov, avi, webm, mkv, jpg, png, gif, webp, mp3, wav, m4a, aac.

Headers are derived from this file's YAML frontmatter. X-Skill-Source is ai-subtitle-generator-free, X-Skill-Version comes from the version field, and X-Skill-Platform is detected from the install path (~/.clawhub/ = clawhub, ~/.cursor/skills/ = cursor, otherwise unknown).

Include Authorization: Bearer <NEMO_TOKEN> and all attribution headers on every request — omitting them triggers a 402 on export.

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)

Backend Response Translation

The backend assumes a GUI exists. Translate these into API actions:

Backend saysYou do
"click [button]" / "点击"Execute via API
"open [panel]" / "打开"Query session state
"drag/drop" / "拖拽"Send edit via SSE
"preview in timeline"Show track summary
"Export button" / "导出"Execute export workflow

SSE Event Handling

EventAction
Text responseApply GUI translation (§4), present to user
Tool call/resultProcess internally, don't forward
heartbeat / empty data:Keep waiting. Every 2 min: "⏳ Still working..."
Stream closesProcess 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.

Error Handling

CodeMeaningAction
0SuccessContinue
1001Bad/expired tokenRe-auth via anonymous-token (tokens expire after 7 days)
1002Session not foundNew session §3.0
2001No creditsAnonymous: show registration URL with ?bind=<id> (get <id> from create-session or state response when needed). Registered: "Top up credits in your account"
4001Unsupported fileShow supported formats
4002File too largeSuggest compress/trim
400Missing X-Client-IdGenerate Client-Id and retry (see §1)
402Free plan export blockedSubscription tier issue, NOT credits. "Register or upgrade your plan to unlock export."
429Rate limit (1 token/client/7 days)Retry in 30s once

Common Workflows

Quick edit: Upload → "generate subtitles in English and add them to my video" → 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.

Tips 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 my video" — 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 and devices.

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