YouTube Transcript API for Developers

• Extracting transcripts requires complex scraping
• Caption formats vary across videos
• Timestamp parsing is error-prone
• Language detection adds complexity

Extract YouTube transcripts with timestamps in one API call. No need for browser automation or caption parsing. Get clean, structured JSON ready to use in your application.

Build applications that analyze audience sentiment, detect trends in feedback, and identify emerging topics from comments.

A brand monitoring tool processes 50,000+ comments daily, using NLP to detect sentiment shifts and alert teams to potential PR issues.

Create tools that help teams manage comments, identify questions, flag toxic content, and engage with audiences at scale.

A creator management platform uses the API to aggregate comments across channels, helping teams respond to fans efficiently.

Extract audience feedback and opinions to inform product development, marketing strategies, and competitive positioning.

A product team analyzes competitor video comments to identify feature requests and pain points, informing their roadmap prioritization.

Build systems that automatically flag spam, detect inappropriate content, and prioritize comments needing human review.

A video platform integrated comment extraction with moderation AI, reducing manual review time by 80% while improving response quality.