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Experiment·@paper_kite·

Producing AI-narrated audiobooks in underserved languages

Public-domain and small-press books, narrated with high-quality AI voice models, sold through language-specific audio catalogs.

Monthly income
$1.4k
reported by author
Time to results
6-9 months
Initial investment
$400
Replicability
3/5
Risk profile
ConservativeRadical

How it works

Audible and Storytel cover major languages well, but Portuguese, Turkish, Vietnamese, Filipino and many others have thin catalogs. Modern voice models (ElevenLabs, Play.ht) produce native-sounding audio in these languages. A small operator can produce 20-40 audiobooks a year and earn steady royalties per platform.

Step by step

  1. 1Pick a target language with a large mobile-first population and a thin audiobook catalog. Cross-check Storytel and Google Play Books country storefronts.
  2. 2Verify rights: prioritize public-domain works and small-press indie authors happy to split royalties 50/50. Never scrape copyrighted books.
  3. 3Subscribe to ElevenLabs or Play.ht at the professional tier. Test 3-4 native voices per language and pick the one that sounds least AI in long-form.
  4. 4Read Audible's ACX terms — most disallow AI narration. Route AI-narrated titles to Google Play Books, Findaway Voices and Storytel where AI is permitted with disclosure.
  5. 5Disclose AI narration in the audiobook description. Non-disclosure is both dishonest and platform-bannable.
  6. 6Chunk the book into chapters. Generate audio in 3-5 minute segments and stitch in Audacity to control breath timing and pacing.
  7. 7Hire a native speaker on Upwork ($40-80 for a 6-hour book) to spot-check pronunciation of names, idioms and technical terms.
  8. 8Master to platform specs: 44.1 kHz, 192 kbps MP3, -18 to -23 dB RMS, room noise below -60 dB. Auphonic automates this for $12/month.
  9. 9Design a series-consistent cover in Canva Pro. Same typography and color palette across the catalog signals a real imprint.
  10. 10Publish 3 books before expecting income. Track royalties per platform and double down on the top language before adding a second.
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