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Caption Creator Ai

该 Skill 通过外部接口处理视频音频,生成带样式的烧录字幕成片,并支持说话人识别与配色、术语表、品牌参数及可访问性字幕描述;可导出 9:16、16:9、1:1 的 MP4 和 SRT/VTT 字幕文件。

udnerc
udnerc
热度 16.02
最近更新 2026-03-30 10:36:47
分类:创作依赖:第三方 API / 代码执行应用场景:视频编辑 / 社交媒体 / 品牌素材 / 模板

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add caption-creator-ai
Metadata
name
caption-creator-ai
version
1.0.0
displayName
Caption Creator AI — Automated Subtitles vs Manual Captions Real Accuracy Speed Cost Comparison
description
Manual captioning takes four hours per video, introduces typos, and drifts out of sync by the second minute. AI captioning takes three minutes per video, delivers 98% accuracy, and locks every word to its exact audio frame. Caption Creator AI watches your footage, listens to every spoken word, and produces styled captions that match your brand colors, your preferred font, and the safe zones of whichever platform you publish to.
metadata
{"openclaw":{"emoji":"💬","requires":{"env":[],"configPaths":["~/.config/nemovideo/"]},"primaryEnv":"NEMO_TOKEN"}}

Caption Creator AI — Eighty-Five Percent of Social Video Plays on Mute. Without Captions, You Are Performing to an Empty Theater.

The scroll is silent. The thumb moves fast. The average viewer decides within 1.5 seconds whether to stop or continue scrolling, and that decision happens before they unmute. The video that opens with bold, readable captions answering a question or making a promise survives the scroll. The video without captions — regardless of how brilliant the audio content may be — gets swiped past by the majority of viewers who never turn their sound on. This is not a trend that will reverse. Mobile viewing in public spaces, offices, and beds at midnight has permanently established mute-first as the default consumption mode.

The gap between knowing captions matter and actually producing them has historically been the bottleneck. A ten-minute video requires forty minutes of manual captioning by someone who types fast and has a good ear. The timestamps must be adjusted frame by frame when the speaker pauses, speeds up, or overlaps with background noise. The styling must be consistent — same font, same size, same position — across every clip. And then the whole process repeats for the next video, and the next, and the next. Caption Creator AI eliminates this entire bottleneck by processing the audio track, generating word-level timestamps, applying your chosen visual style, and delivering captioned video files ready for publishing in the time it takes to drink a coffee.

Use Cases

  1. TikTok and Reels Captioning — The Bold Center-Screen Style That Defines Short-Form (per clip) — Short-form platforms have established a specific caption aesthetic: large bold text, centered in the frame, appearing word-by-word in sync with speech. Caption Creator AI: analyzes the speech cadence to determine word grouping (phrases that belong together stay together on screen), applies the platform-specific style (TikTok's signature look uses a heavy sans-serif font with a colored background highlight behind each word as it is spoken), positions the text in the vertical safe zone (below the top third where the username displays, above the bottom fifth where interaction buttons sit), and renders the captions directly into the video file. The creator films a 60-second take, uploads it, and receives the captioned version before their coffee cools.

  2. Interview and Conversation Captioning — Speaker Identification With Color Coding (per speaker) — Multi-speaker content requires captions that identify who is talking. Caption Creator AI: separates speakers using voice signature analysis (pitch, cadence, and spectral characteristics), assigns each speaker a designated color or label, positions the caption text to indicate the active speaker, handles crosstalk by prioritizing the louder voice and marking overlapping speech, and maintains consistent speaker assignment across the entire recording even when speakers have similar voices. The interview host's words appear in white, the guest's in yellow — the viewer follows the conversation without confusion, even on mute.

  3. Educational Content Captioning — Technical Vocabulary and Proper Noun Accuracy (per domain) — Educational video requires caption accuracy that generic speech-to-text cannot deliver. Caption Creator AI: accepts a glossary of domain-specific terms (medical terminology, programming language names, historical proper nouns) that the general model might misrecognize, applies the glossary as a correction layer during transcription, formats technical terms consistently (code snippets in monospace, chemical formulas with proper subscripts where the format supports it), and adjusts reading speed for educational pacing — displaying each caption long enough for a learner to read at study speed rather than native speaker speed. The chemistry professor's lecture arrives with "stoichiometry" spelled correctly on the first pass.

  4. Brand-Consistent Caption Styling — Your Colors, Your Font, Your Identity (per brand) — Every brand has a visual identity that extends to video captions. Caption Creator AI: accepts brand parameters (primary color hex code, font family, font weight, background style, text shadow, outline thickness), stores the brand profile for reuse across all future videos, applies the brand style to every generated caption automatically, and ensures the style renders correctly across all target platforms. The marketing team defines the brand caption style once — bold Montserrat in brand blue (#1A73E8) with a white outline and subtle drop shadow — and every video produced for the next year carries the same visual identity without any manual styling.

  5. Accessibility Compliance Captioning — Meeting Legal Requirements for Video Content (per standard) — Many jurisdictions require captioned video for public-facing content. Caption Creator AI: generates captions that comply with WCAG 2.1 AA standards (minimum contrast ratio, maximum reading speed, proper caption segmentation), includes non-speech audio descriptions in brackets ([applause], [background music], [phone ringing]) for hearing-impaired viewers, formats the caption output in WebVTT with proper metadata for screen reader compatibility, and delivers documentation confirming the accessibility standard met. The corporate communications team that publishes training videos, public announcements, and marketing content meets their accessibility obligations automatically with every video processed.

How It Works

Step 1 — Upload Your Video

Drag and drop or provide a URL. MP4, MOV, AVI, WebM, and MKV accepted. No duration limit.

Step 2 — Choose Your Caption Style

Select from templates (TikTok bold, YouTube standard, documentary minimal, news broadcast) or define custom styling with your brand parameters.

Step 3 — Generate

curl -X POST https://mega-api-prod.nemovideo.ai/api/v1/generate \
  -H "Authorization: Bearer $NEMO_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "skill": "caption-creator-ai",
    "prompt": "Create captions for a 3-minute product launch video. Two speakers: the CEO (female, American accent) and the CTO (male, Indian accent). Style: TikTok bold center-screen with word-by-word highlight animation. Brand color: #FF6B35 for highlight, white text, black outline. Position: center frame, bottom third safe zone. Include non-speech descriptions for sound effects (product reveal whoosh, audience applause). Output: burned-in MP4 at 9:16 for TikTok and 16:9 for YouTube, plus separate SRT file.",
    "speakers": 2,
    "style": "tiktok-bold",
    "brand": {"highlight_color": "#FF6B35", "text_color": "#FFFFFF", "outline": "black"},
    "outputs": ["burned-9x16", "burned-16x9", "srt"]
  }'

Step 4 — Review the First Ten Seconds, Then Publish

The AI handles timing and styling consistently across the entire video. Spot-check the opening to confirm speaker identification and style, then publish with confidence.

Parameters

Parameter Type Required Description
prompt string ✅ Caption requirements and context
speakers number Number of distinct speakers
style string Caption style template name
brand object Brand color and font parameters
outputs array Output format list

Output Example

{
  "job_id": "ccai-20260330-001",
  "status": "completed",
  "speakers_detected": 2,
  "caption_style": "tiktok-bold",
  "outputs": {
    "tiktok": "product-launch-captioned-9x16.mp4",
    "youtube": "product-launch-captioned-16x9.mp4",
    "srt": "product-launch.srt"
  },
  "word_count": 487,
  "accuracy_estimate": "98.2%",
  "duration": "3:12"
}

Tips

  1. Use the word-by-word highlight for short-form — The animated highlight that follows the spoken word is the dominant TikTok/Reels caption style because it directs the eye and creates visual rhythm.
  2. Reduce words per screen for mobile — Phone screens are small. Maximum 7-8 words per caption block ensures readability without squinting. Desktop tolerates 12-15 words.
  3. Match caption speed to audience — Educational content: display captions 30% longer than speech duration. Entertainment content: match speech duration exactly. News content: display slightly ahead of speech for reading preparation.
  4. Include sound descriptions for accessibility — [music playing], [door slams], [crowd laughing] — these bracket descriptions serve hearing-impaired viewers and are required for WCAG compliance.
  5. Save your brand preset — Define your caption style once and reuse it. Brand consistency across fifty videos is more valuable than optimizing each video individually.

Output Formats

Format Ratio Use Case
Burned MP4 9:16 1080x1920 TikTok, Reels, Shorts
Burned MP4 16:9 1920x1080 YouTube, website
Burned MP4 1:1 1080x1080 Instagram feed
SRT N/A Platform subtitle upload
VTT N/A Web player, HLS

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