YouTube Transcripts

A component that extracts and processes transcripts from YouTube videos. Configure transcription parameters to convert video content into searchable, analyzable text data.

YouTube Transcripts component interface and configuration

Transcription Availability: This component can only extract transcripts from videos that have captions enabled. Some videos may have automatically generated captions, while others might have manually created or edited transcripts. Private or restricted videos may not be accessible.

Component Inputs

Video URL: URL or ID of the YouTube video
Example: "https://www.youtube.com/watch?v=dQw4w9WgXcQ" or "dQw4w9WgXcQ"
Chunk Size (Seconds): Duration in seconds for each transcript segment
Example: 60 (divides transcript into 60-second chunks)
Language: Preferred language for the transcript
Example: "en" (English), "es" (Spanish), "fr" (French), "auto" (automatically detect)
Translation Language: Target language for translation
Example: "en" (translate to English), "none" (no translation)

Component Outputs

Toolset: Extracted transcript text
Example: The full transcript text divided into chunks according to the specified chunk size

Transcript Format Options

Raw Text

Plain text transcript without timestamps

Format: Continuous text
Use Case: Content analysis, summarization, keyword extraction

Chunked Text

Transcript divided into segments of specified duration

Format: Array of text segments
Use Case: Targeted analysis of specific video sections, embedding generation

Text with Timestamps

Transcript with time markers

Format: Array of objects with text and timestamp properties
Use Case: Creating searchable video indexes, generating timestamped notes

Implementation Example

// Example: Processing a YouTube video transcript
async function analyzeVideoContent(videoUrl) {
  // Extract transcript from the video
  const transcriptResult = await youtubeTranscriptsComponent.execute({
    videoUrl: videoUrl,
    chunkSize: 60,
    language: "en",
    translationLanguage: "none"
  });
  
  // Get video metadata (using a hypothetical component)
  const videoMetadata = await youtubeMetadataComponent.execute({
    videoUrl: videoUrl
  });
  
  // Analyze the transcript content
  const contentAnalysis = await textAnalysisComponent.execute({
    text: transcriptResult.toolset,
    analysisType: "sentiment-and-topics"
  });
  
  // Combine results
  return {
    videoTitle: videoMetadata.title,
    videoAuthor: videoMetadata.channelName,
    duration: videoMetadata.duration,
    transcript: transcriptResult.toolset,
    sentimentScore: contentAnalysis.sentiment,
    keyTopics: contentAnalysis.topics,
    analysisDate: new Date().toISOString()
  };
}

Use Cases

Content Summarization: Generate concise summaries of video content
Knowledge Extraction: Convert educational videos into searchable text resources
Research: Analyze interview or presentation content for insights
Language Learning: Provide text accompaniment to video content
SEO Enhancement: Extract keywords and topics from video content
Accessibility: Make video content accessible in text form

Useful Resources

Best Practices

Verify that videos have available captions before processing
Use appropriate chunk sizes for your analysis needs (smaller for detailed processing, larger for overview)
Consider language settings carefully for multilingual content
Implement error handling for videos without available transcripts
Respect YouTube's terms of service regarding content usage
Process transcripts to remove filler words and correct automatic caption errors
Use transcript metadata like timestamps when relevant to your application

Documentation