Not a feature list. A production system — four proprietary engines that turn raw content into broadcast-ready media at publisher scale.
Articles Processed
Sources Monitored
Languages Supported
Uptime Guarantee
Most TTS reads words verbatim — mispronouncing abbreviations, reading numbers as digits, producing flat output. Our pronunciation engine is a multi-stage pipeline that sits between your article and the voice model.
POST /api/audio/generate
{
"article_url": "https://publisher.com/article-1",
"voice": "broadcast-en-1",
"format": "playlist"
}
→ 200 OK
{
"audio_url": "https://cdn.mediathrive.com/..."
}MediaKit.js — a single-line embed that turns any article into a rich media experience.
<!-- MediaKit.js - One Line Integration -->
<script
src="https://cdn.mediathrive.com/sdk/mediakit.js"
data-publisher="your-publisher-id"
async
></script>Article → Script → Scenes → Render
├── AI Avatar (lip-sync)
├── B-roll Selection
├── Scene Transitions
└── Final Output (MP4)These are the things that take years to build and can't be replicated overnight.
Broadcast-ready audio that handles numbers, abbreviations, and show structure — not just text-to-speech.
Publisher-safe crawling with WAF allowlisting and schema-aware extraction at scale.
CDN-native delivery with built-in analytics, ad support, and domain-based theming.
Proprietary render engine with deterministic scene composition and AI avatar lip-sync.
Built over years of production deployment with the world's leading publishers.
Built for organizations where data handling, compliance, and content ownership are non-negotiable.
All data processed and stored in EU-based infrastructure. Full data processing agreements available. Right to erasure enforced across all systems.
TLS 1.3 in transit, AES-256 at rest. API keys are hashed and never stored in plaintext. Secrets managed via hardware-backed vault.
Enterprise customers get dedicated processing queues and storage namespaces. No cross-tenant data leakage by design.
You retain full ownership of all generated media. Your content is never used to train models without explicit written consent.
Not sure how MediaThrive stacks up? We've done the honest comparison so you don't have to.
See how four proprietary engines work together to turn raw content into broadcast-ready media.
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