SkillsLib.ai

Caption Generator Pro

Transform transcripts into broadcast-quality captions with timing and speaker labels

3.3(6 reviews)
10+ downloads
Updated Oct 2026

What You Can Do

Convert raw transcripts into professional, time-stamped captions with automatic speaker identification and format optimization. The skill handles multiple caption formats (SRT, VTT, WebVTT, JSON) and applies broadcast-quality standards including proper punctuation, capitalization, line breaks, and readability metrics. You'll get production-ready captions suitable for streaming platforms, accessibility compliance, and archival purposes.

Features

Automatic speaker identification

Parses speaker labels from your transcript and preserves identification in captions for clarity

Timing alignment

Calculates precise timestamps for each caption block based on word count, pacing, and readability

Multi-format export

Outputs captions in SRT, VTT, WebVTT, and JSON formats for any platform or system

Readability optimization

Applies smart line breaks, enforces character limits, and scores readability to ensure viewer comprehension

Tone preservation

Maintains emotional context, emphasis marks, and speaker nuance from original transcript

Batch processing

Handle multiple clips, segments, or full episodes in a single pass without manual formatting

Quality validation

Automatically verifies timing accuracy, detects overlaps, checks formatting compliance, and flags issues

Accessibility enhancements

Generates descriptive audio cues, WCAG compliance notes, and sound effect descriptions for full accessibility

Example Output

SRT Format Output:

code
1
00:00:05,000 --> 00:00:10,500
SPEAKER A: Welcome to today's episode.
We're discussing the future of remote work.

2
00:00:10,500 --> 00:00:15,250
SPEAKER B: Thanks for having me. I'm excited
to share some insights on this topic.

VTT Format with Styling:

code
WEBVTT

00:00:05.000 --> 00:00:10.500
<v Speaker A>Welcome to today's episode.
<v Speaker A>We're discussing remote work futures.

00:00:10.500 --> 00:00:15.250
<v Speaker B>Thanks for having me. I'm excited
<v Speaker B>to share insights on this topic.

Validation Report:

  • ✓ Total duration: 2:34:15
  • ✓ No timing overlaps detected
  • ✓ Average line length: 42 characters (optimal)
  • ✓ Speaker identification: 4 unique speakers
  • ✓ Readability score: 9.2/10

What's Included

  • Transcript parser: Intelligently processes various transcript formats including plain text, timestamped, and speaker-labeled formats
  • Timing calculator: Generates accurate timestamps using speech rate analysis and pacing optimization algorithms
  • Format converter: Converts parsed captions into SRT, VTT, WebVTT, and JSON output with platform-specific optimizations
  • Quality checker: Validates caption timing, detects overlaps, checks readability, and flags compliance issues
  • Metadata generator: Creates descriptive audio notes, accessibility summaries, and speaker profiles for full context
  • Batch processor: Handles multiple files, segments, or clips efficiently without degrading quality

Who It's For

  • Video editors and producers
  • Content creators and YouTubers
  • Accessibility specialists and compliance officers
  • Broadcast and streaming platform managers
  • Podcast producers and audio engineers

Best For

  • Converting interview transcripts to captions
  • Generating subtitles for educational and training videos
  • Creating WCAG-compliant captions for accessibility
  • Batch captioning for media archives and libraries
  • Streamlining video localization and multi-language workflows

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