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Spoken.md

Podcast transcripts as Markdown, with real speaker names

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Spoken is an API that returns any published podcast episode as Markdown, with real speaker names. List a show's episodes, fetch them all, point them at your notes or your LLM. One credit per episode, no subscription, errors never charged. Free demo key.

PH · launched Sep 24, 2026 · 1 upvote (top 69%) · 0 views

Niche: audio and video transcription tools · 195 launches, 16 in the last 7 days ▼ -27% · Explore this niche →

Category and tags

  • Media & entertainment
  • Content generation
  • Prosumer
  • AI-native
  • Commercial product
  • API
  • Developer Tools
  • Artificial Intelligence
  • GitHub

Visit website ↗ Source listing ↗

Could you build this?

Partial While transcription APIs exist, building a reliable pipeline that ingests any RSS podcast audio, performs speaker diarization, and accurately aligns real speaker names from episode metadata or external profiles requires complex audio processing and entity linking.

What it would actually take: The service needs an asynchronous worker queue (Celery/BullMQ) fetching RSS feeds and audio files, paired with speech-to-text and diarization pipelines (WhisperX, PyAnnote). Matching diarized voice tracks to real speaker names requires cross-referencing episode show notes, external guest metadata, or running speaker voiceprint embeddings across an indexed database. Handling edge cases like crosstalk, intro music, and long-audio rate limits requires robust media processing infrastructure.

Competitors

Other products that read as similar to this one : 368 launches clear the similarity bar, closest 8 shown.

Attention rank: #310 of 369 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 321 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.