Pronunciation-accurate AI voiceover for listings and ads

What to build

A lightweight pronunciation-correction middleware (API or plugin) that sits between a solo creator's script and their TTS engine of choice (ElevenLabs, Play.ht, Azure), auto-detecting names, prices, and dates and injecting SSML phoneme/say-as tags so voiceovers for real estate listings, e-commerce ads, and auto dealership clips come out sounding right the first time.

Mainstream TTS engines still mangle proper names, prices, and dates in commercial video voiceovers, and no point-solution currently patches this gap without forcing creators to switch platforms.

Demand

Real estate agents, e-commerce sellers, and auto dealerships producing high-volume AI-voiced video ads are the buyers, and now is the moment because TTS-driven video production has become mainstream for these verticals while accuracy on proper nouns and numbers still breaks trust.

• Product HuntDemand

  Onepin is listed on Product Hunt with the tagline 'AI voiceover with every name, price and date said right,' showing an existing product attempting to address this exact pronunciation-accuracy gap.

Stack

• ElevenLabs API
• Play.ht API
• Azure Neural TTS API
• SSML phoneme/say-as tagging
• Pronunciation lexicon database (Postgres)
• Python or Node.js middleware server

Solo + AI difficulty

A first version that catches common price/date formatting and runs them through SSML say-as rules is buildable solo in 2-4 weeks with AI coding help; the harder, ongoing work is building and maintaining an accurate name-pronunciation lookup across accents and languages, and keeping SSML handling in sync across three different vendor dialects.

Entry threshold

Low capital barrier since it wraps existing TTS APIs with a text normalization and SSML-tuning layer a solo builder can prototype in one to two weeks, but it must stay ahead of TTS vendors who are steadily adding native number and name pronunciation controls.

Window

6-12 months

Where to find first users

• Product Hunt launch
• r/realtors and r/ecommerce communities
• Shopify app store listing
• Direct outreach to video ad agencies serving auto dealerships

Counter-signals & risks

• Mainstream TTS vendors (ElevenLabs, Azure, Play.ht) may natively improve pronunciation accuracy for numbers, names, and dates, eliminating the need for a third-party add-on layer.

• Narrow vertical targeting (real estate, e-commerce, auto) may limit total addressable market and make the add-on dependent on a small number of video production workflows.

• Being a thin plugin layer on top of third-party APIs creates platform risk if underlying TTS providers change pricing, APIs, or restrict third-party integrations.