Live Caption Formatter
Format and verify live captions for broadcast and streaming compliance
What You Can Do
This skill formats raw captions with speaker identification, precise timing, and platform-specific requirements for compliance. You can verify captions meet accessibility standards (WCAG 2.1, CEA-708) and broadcast regulations for major platforms like YouTube Live, Twitch, and Facebook Live. It automatically corrects timing drift, validates speaker labels, and ensures compliance verification before you go live.
Features
Automatically tag and format speaker identifications in captions for clarity and accessibility
Detect and correct timing sync issues, drift, and overlap problems between video and captions
Generate output formatted for YouTube Live, Twitch, Facebook Live, and other major streaming platforms
Verify captions meet WCAG 2.1, CEA-708, and broadcast accessibility requirements automatically
Enforce line breaks, character limits, and layout rules specific to each platform's requirements
Flag common errors including spelling mistakes, sync issues, speaker inconsistencies, and formatting violations
Output captions in SRT, VTT, JSON, or platform-native formats ready for immediate use
Example Output
Formatted Caption Output (YouTube Live)
00:00:15,000 --> 00:00:20,500
[SPEAKER: Host] Welcome to today's live
stream. Thanks for joining us.
00:00:20,500 --> 00:00:25,200
[SPEAKER: Guest] Thanks for having me.
I'm excited to be here today.
00:00:25,200 --> 00:00:30,800
[SPEAKER: Host] Let's dive into the
main topic we're discussing.
Compliance Report
- ✅ Timing sync: Valid (no drift detected)
- ✅ Speaker labels: Consistent formatting
- ✅ Character limits: 42 chars/line (within YouTube limits)
- ✅ Accessibility: WCAG 2.1 Level AA compliant
- ⚠️ Suggestion: Add sound effect description at 00:15,200 [SOUND: Notification ping]
What's Included
- Caption Formatter: Core engine that processes raw captions and applies formatting rules
- Compliance Checker: Validates captions against WCAG 2.1, CEA-708, and platform-specific standards
- Platform Adapters: Converts captions to YouTube, Twitch, Facebook Live, and other platform formats
- Timing Validator: Detects and corrects timing synchronization issues and overlaps
- Batch Processor: Process multiple caption files and archive captions in a single operation
Who It's For
- Live streaming producers
- Broadcast engineers and technical directors
- Video accessibility specialists
- Content creators and streamers
- Live event coordinators
Best For
- Preparing captions for YouTube Live broadcasts
- Verifying accessibility compliance before streaming
- Converting between caption file formats (SRT, VTT, JSON)
- Formatting team-generated raw captions for quality assurance
- Batch-processing archived caption files for regulatory compliance
You might also like
Maintain terminology consistency and clinical accuracy across medical translations by extracting medical terms, validating their usage, and generating compliance reports. You can build custom glossaries, identify terminology mismatches, and ensure translations meet regulatory standards for pharmaceutical, healthcare, and clinical documentation.
by shinygua
Transform raw or messy medical transcripts into EHR-compliant documents with automatic terminology validation and error detection. This skill verifies medical terminology against standard dictionaries, flags inconsistencies, suggests corrections, and formats transcripts according to healthcare IT standards. You'll eliminate compliance risks and reduce manual QA time by identifying formatting issues, abbreviation errors, and documentation gaps before transcripts enter your EHR system.
by shinygua
You can audit video captions for WCAG and ADA compliance, add precise speaker identification, optimize timing and formatting for readability, and enhance captions for Deaf and hard-of-hearing audiences. This skill ensures your video content meets legal accessibility standards while maximizing reach to all viewers, reducing litigation risk and improving content discoverability.
by shinygua
Extract all technical terms from your documentation and validate them against your glossary or style guide. The skill identifies inconsistencies in terminology, applies standardization rules, and generates detailed reports showing exactly where terms are used incorrectly or inconsistently. You get comprehensive terminology health metrics with actionable recommendations for every issue.
by shinyguaThis skill helps you standardize and organize pharmaceutical terminology across your organization. You can quickly look up drug names, active ingredients, medical conditions, and regulatory terms while maintaining consistency in documentation. It provides cross-references between generic and brand names, pronunciation guides, and evidence-based definitions for clinical communication.
by shinygua
You can transform raw ESG data into structured, framework-aligned sustainability reports that satisfy investor, regulatory, and rating agency requirements. This skill reconciles metrics across multiple disclosure standards (SASB, GRI, TCFD, ISO 14001, CDP), identifies material gaps in your reporting, validates narrative claims against quantitative evidence, and generates compliant regulatory filings with stakeholder-specific versions for different audience needs.
by shinygua
You can orchestrate complex translation projects from source content through delivery, build and maintain comprehensive terminology databases to ensure consistency across language variants, and audit translations for quality and adherence to style guides. This skill generates project workflows, consistency reports, glossaries, and optimization recommendations that reduce translation rework and accelerate time-to-market for multilingual products.
by shinygua
Coordinate end-to-end software localization from string extraction through quality assurance. You'll extract translatable content from codebases, manage translation workflows across multiple languages, generate localization reports, and perform automated QA checks to catch missing translations, formatting issues, and context problems before deployment.
by shinygua