Amharic Speech Synthesis for the Enterprise.
A precise, high-fidelity text-to-speech API built specifically for Ethiopian linguistic nuances. Designed for institutional scale and real-time latency.
System Architecture
Sub-Second Latency
Optimized backend infrastructure delivering synthesis streams under 200ms. Architected specifically for real-time conversational AI and synchronous accessibility applications without buffering delays.
Sovereign Security
Locally hosted on sovereign infrastructure. Meets strict national data protection compliance with TLS 1.3 encryption, ensuring institutional and enterprise data never leaves the region.
Phonetic Accuracy
Custom neural models trained strictly on validated Ethiopian acoustic datasets. Built to respect precise linguistic rules, including gemination (ጠበቅ) and contextual intonation mapping.
Developer Integration
Integration is straightforward. The REST API is built on predictable standards, heavily documented, and natively supports both synchronous streams and background batch processing.
- / Drop-in REST HTTP endpoints
- / Asynchronous batch pipelines
- / Supported SDKs for Python and Node.js
curl -X POST https://api.zai.et/v1/tts \
-H "Authorization: Bearer zai_sk_live_..." \
-H "Content-Type: application/json" \
-d '{
"text": "እንኳን ወደ ዘመን ኤ.አይ በደህና መጡ",
"voice_id": "am-ET-Standard-A",
"format": "mp3"
}' \
--output zemen_speech.mp3