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Documentation Index

Fetch the complete documentation index at: https://urantia.dev/llms.txt

Use this file to discover all available pages before exploring further.

All static data that powers the API is available directly from a public Cloudflare R2 bucket at cdn.urantia.dev. Audio files are served from a separate subdomain at audio.urantia.dev. You can use these files for offline apps, custom pipelines, or self-hosted setups.

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What’s available

AssetFormatCountDescription
PapersJSON197Full paper text with paragraphs, sections, and metadata
Paper audioMP3197Full narration of each paper
Paragraph audioMP316,000+Individual paragraph narration across 6 voices
Paper videosMP4197Full paper narration with synced text overlay (1080p)
Video thumbnailsPNG197Paper title cards for video thumbnails
EntitiesJSON3,000+Typed entities (beings, places, concepts) with descriptions
Entity linksJSON50,000+Paragraph-to-entity citation mappings
EmbeddingsJSON14,500+OpenAI text-embedding-3-small vectors (1536-dimensional)
Audio manifestJSON1Complete inventory mapping paragraph IDs to audio URLs

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URL patterns

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Audio files

Paragraph-level audio follows this naming pattern: 
https://audio.urantia.dev/{model}-{voice}-{globalId}.mp3
Examples: 
# tts-1-hd model, nova voice, paragraph 0:0.0.1 (Foreword, first paragraph)
https://audio.urantia.dev/tts-1-hd-nova-0:0.0.1.mp3

# tts-1-hd model, echo voice, paragraph 3:119.1.5
https://audio.urantia.dev/tts-1-hd-echo-3:119.1.5.mp3

# Whole paper audio (Paper 1)
https://audio.urantia.dev/1.mp3
Available voices:
ModelVoicesCoverage
tts-1-hdnova, echo, onyx, alloy, fable, shimmernova has full coverage
tts-1alloyPartial

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Video files

Paper-level videos with narrated audio and synced text overlay: 
# Paper 1 video (H.264 MP4, 1080p, 30fps)
https://video.urantiahub.com/tts-1-hd-nova-1.mp4

# Paper 1 thumbnail (PNG, 1920x1080)
https://video.urantiahub.com/thumbnail-1.png
All 197 papers have videos with the nova voice. Videos include animated background, paragraph text fading in/out, section title cards, and intro/outro branding.

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JSON files

Paper JSON files are numbered 000.json through 196.json: 
# Foreword
https://cdn.urantia.dev/json/eng/000.json

# Paper 1 — The Universal Father
https://cdn.urantia.dev/json/eng/001.json

# Paper index (all papers, sections, paragraphs)
https://cdn.urantia.dev/json/eng/index.json

# Part metadata
https://cdn.urantia.dev/json/eng/1-part.json

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Entities

# All entities with descriptions, aliases, and types
https://cdn.urantia.dev/entities/seed-entities.json

# Paragraph-to-entity citation mappings
https://cdn.urantia.dev/entities/paragraph-entities.json

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Embeddings

# All paragraph embeddings (OpenAI text-embedding-3-small, 1536 dimensions)
https://cdn.urantia.dev/embeddings/embeddings.json
The embeddings file is ~455 MB. Only download it if you need vector search capabilities for a self-hosted setup.

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Audio manifest

# Complete mapping of paragraph IDs to audio CDN URLs
https://cdn.urantia.dev/manifests/audio-manifest.json

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Paper JSON structure

Each paper file contains the full text with structured metadata: 
{
  "paperId": "1",
  "paperTitle": "The Universal Father",
  "partId": "1",
  "sections": [
    {
      "sectionId": "0",
      "sectionTitle": "",
      "paragraphs": [
        {
          "globalId": "1:1.0.1",
          "standardReferenceId": "1:0.1",
          "paperSectionParagraphId": "1.0.1",
          "text": "THE Universal Father is the God of all creation...",
          "htmlText": "<p>THE Universal Father is the God of all creation...</p>"
        }
      ]
    }
  ]
}

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Use cases

  • Offline apps — Download the JSON files and audio for offline reading and listening
  • Custom search — Use the embeddings to build your own vector search
  • Self-hosted API — Seed your own database from the source JSON and entities
  • Data analysis — Analyze entity relationships, citation patterns, or text embeddings
  • Alternative TTS — Use the text data to generate audio with other TTS providers
For most use cases, the API is easier than working with raw files. Use the CDN when you need bulk access or offline capabilities.