Transcript Alchemy

STATUS: Building Autonomous Content Multistreams

transcript_processor_v2.1
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📽️
REPURPOSING DATA...

PROCESS:First, we grab the raw transcript. Most LLMs can't handle 2-hour videos, so we need a cleaner.

The Pipeline Architecture

Raw Data Ingestion

Automating the retrieval of YouTube transcripts involves querying the timedtext endpoint or using scrapers like youtube-transcript-api. The goal is to get a timestamped array that we can normalize into clean prose.

Automation Milestones

⛏️
Data Miner

Extract raw transcripts via API/Scraping.

✂️
Chunk Master

Split long text for LLM context windows.

🚀
Omni-Creator

Simultaneously generate X, LinkedIn, and Blogs.