Real-time Hindi Speech-to-Text built for India
Verbalyze Hindi ASR is trained on over 20,000 hours of conversational Hindi and Hinglish speech. It delivers sub-90ms latency and industry-leading 3.2% Word Error Rate (WER), translating to 98.7% transcript precision on live Hindi call data. This precision enables downstream analytics (sentiment scoring, intent extraction, compliance scanning) without a transcript quality pre-filter step. Every ASR response includes word-level confidence scores, enabling transcript reliability scoring for compliance-sensitive workflows.
Optimized for Hindi Voice Channels
Sovereign Dialect Models
Covers Bhojpuri, Haryanvi, Rajasthani, and Bihari accents natively with dedicated acoustic datasets.
PII Redaction built-in
Instantly redacts Aadhaar numbers, PAN, bank accounts, and mobile numbers in Hindi transcripts.
Hinglish Native Support
Recognizes English words transliterated or switched naturally in the middle of Hindi sentences.
Domain Vocabulary
Custom fine-tuning for banking (IFS, EMI, interest terms) and telecom domain jargon.
Frequently Asked Questions
How does the Hindi ASR handle Hinglish code-switching?
Our model is natively trained on mixed Hinglish speech. It converts English and Hindi words blended together (e.g. 'mera balance check karo') directly into structured Devanagari or Latin scripts with high accuracy.
What dialects are supported?
We support standard Hindi (Khariboli), and dialect variants including Haryanvi, Rajasthani, Bihari (Bhojpuri/Maithili), and regional accents from Uttar Pradesh, Madhya Pradesh, and Delhi NCR.