YouTube and Apple Podcast Transcripts
Yet another transcript extractor when YouTube already ships this built-in.
Podcast/ YouTube video → Transcript!
Outputs ready-to-use Markdown with speaker diarization and timestamps, accepts Apple Podcasts/YouTube/RSS links, and can run fully locally or use ElevenLabs for higher-quality diarization. Not groundbreaking — speech-to-text pipelines already exist — but the one-command UX, RSS browsing/search flags, and explicit local-mode make it genuinely useful for folks who want tidy transcripts without wiring together multiple tools.
Podcasters, content creators, journalists, researchers, and developers who need quick, labeled transcripts
pip install podscript
Uses ElevenLabs for high-quality diarization.
Yet another transcript extractor when YouTube already ships this built-in.
Audio energy + transcript heuristics suggest clips; hardware acceleration handles rendering.
Pedagogical AI using Feynman technique, not just text-to-speech summarization.
It pairs WhisperX-grade transcription (speaker diarization and word-level timestamps) with optional multi-LLM analysis — summaries, Q&A, sentiment, topics and even fact-checking — plus YouTube import and standard export formats. Being vendor-agnostic and offering fact-checking is a smart differentiator, but the space is crowded (Descript/Otter/etc.); clearer accuracy numbers, pricing, or unique workflow hooks would make this stand out.
Rust CLI chains Podcast Index, Whisper, and YouTube into one command-line workflow.
Unifies YouTube and podcast transcripts into daily AI briefs like Readwise Reader.