The Native Voice AI Infrastructure.
We crowdsource high-quality, demographically diverse speech data across Urdu, Pashto, and Punjabi to train cutting-edge TTS models — then deliver them as a production-ready API.
Built for production-grade voice AI
From crowdsourced data collection to model training and API delivery — the complete native language voice stack.
Demographically Diverse Data
Crowdsourced from hundreds of native speakers across age groups, regions, and dialects. Every voice labeled for gender, age, tone, and accent.
Data CollectionAuto Quality Verification
Every recording is analyzed for SNR, silence, duration, and transcript match before entering training pipelines. 95%+ clean data guaranteed.
AI-PoweredCutting-Edge TTS Models
Transformer-based neural TTS trained exclusively on native speech. Natural prosody, authentic intonation — not transliterated from English models.
Model TrainingProduction-Ready REST API
Simple JSON API with streaming audio response. Supports MP3, WAV, and OGG. SDKs for Python, Node.js, and PHP.
APIVoice Cloning & Custom Models
Fine-tune models on a specific speaker's voice in minutes. Generate brand-consistent audio at scale.
PremiumReal-Time Analytics Dashboard
Monitor API usage, latency, character counts, model performance, and audio output quality — all in one place.
DashboardFrom raw voice to API endpoint
A four-stage pipeline that turns crowdsourced Pakistani speech into enterprise-grade AI infrastructure.
import awaaz # Initialize with your API key client = awaaz.Client(api_key="ak_live_••••••••••••") # Synthesize native Urdu speech audio = client.tts.synthesize( text="آج کا موسم بہت خوشگوار ہے", language="ur-PK", voice="nadia-natural", format="mp3", speed=1.0, ) with open("output.mp3", "wb") as f: f.write(audio.content) print(audio.latency_ms) # → 178 print(audio.characters) # → 28
One API call.
Native voice out.
No linguistics expertise required. Pass in your text, get back broadcast-quality audio in the language your users actually speak.
- Streaming audio with <200ms time-to-first-byte
- MP3, WAV, and OGG output formats
- Adjustable speed, pitch, and emphasis controls
- SSML markup for fine-grained prosody control
- 99.9% uptime SLA with global edge delivery
- Per-character billing — only pay for what you use
The languages 200M+ people speak
Built natively — not translated, not transliterated. Our models are trained on authentic speaker data.
Simple, usage-based pricing
Pay only for what you synthesize. No seat licenses, no hidden fees.
- ✓All 3 languages
- ✓6 standard voices
- ✓MP3 & WAV output
- ✓REST API access
- ✓Community support
- –Voice cloning
- –SLA guarantee
- ✓All 3 languages
- ✓All 22 premium voices
- ✓MP3, WAV & OGG
- ✓SSML + WebSocket stream
- ✓1 custom voice clone
- ✓<200ms latency SLA
- ✓Email support
- ✓Everything in Pro
- ✓10 custom voice clones
- ✓Batch synthesis API
- ✓<150ms latency SLA
- ✓99.9% uptime SLA
- ✓Advanced analytics
- ✓Priority Slack support
What developers build with Awaaz-AI
Auto-narrate Urdu news articles and blog posts in seconds. Multiple anchor-style voices for broadcast-quality output.
Replace robotic TTS in your Urdu IVR systems. Natural-sounding automated responses that customers don't hate.
Generate audio lessons and course narration in Urdu and Punjabi at a fraction of studio recording costs.
Add native-sounding voice to your Urdu chatbots. Integrate in minutes with WebSocket streaming.
Start building with
native voice AI today.
50,000 free characters every month. No credit card. No setup. Your first request in under 2 minutes.