Unlocking Video Value: Automated Transcription and Semantic Search

Focus Keyword: AI Video Transcription

Excerpt: Turning 1,000+ hours of video content into SEO-rich text and searchable data using OpenAI's Whisper model and Python automation.

The Challenge: Ed platform's 1,000+ video hours invisible to Google; no intra-video search, missing SEO traffic/engagement. The Solution: Whisper + Python pipeline. Automated Transcription: S3 upload → Lambda triggers Whisper-large-v3 (99% accuracy, timestamps). NLP Summarization: GPT-4o distills to 1K-word blogs with KW. Semantic Search: FAISS/Pinecone indexes transcripts; query → exact-second jumps (e.g., "hooks"). Implementation Details: Batch processing (100hrs/day); schema markup for video pages. ​ The Results: 300% indexed pages (8K words/video); engagement doubled. Matches SEO boosts from transcripts (e.g., authority via backlinks).
Content image for Unlocking Video Value: Automated Transcription and Semantic Search

Created At: February 14, 2026

Last Updated: February 14, 2026