Built for the Way IndiaActually Speaks
From Hindi and Tamil to Bhojpuri, Maithili, and Chhattisgarhi, Zero STT Indic ispurpose-built for India's multilingual conversations, regional dialects, andmixed-language speech. Production-ready speech recognition designedfor contact centers, banking, healthcare, and government applications.
Language Coverage
India Doesn't Speak in One Language
Most speech recognition systems stop at official languages. Real conversations don't. Customers move between Hindi and English. Families speak Bhojpuri at home but Hindi at work. Government services receive calls in dialects that many AI systems have never evaluated.
Zero STT Indic was built for these conversations - combining state-of-the-art recognition across India's scheduled languages with industry-leading support for regional dialects and multilingual speech.
Industry-Leading Accuracy AcrossIndian Languages
Lower Error Rates Across Every Major Benchmark. Hindi WER 11.9% and It Doesn't Stop at "Hindi".
| System | Kathbath | KB Hard | Common Voice | FLEURS | IndicTTS | RESPIN | Gramvaani | Avg |
|---|---|---|---|---|---|---|---|---|
| Google Cloud STT | 14.30 | 16.70 | 20.80 | 19.40 | 18.30 | n/a | 59.90 | 24.90 |
| AI4Bharat IndicWav2Vec | 12.20 | 16.20 | 20.20 | 18.30 | 15.00 | n/a | 42.10 | 20.70 |
| Microsoft Azure STT | 13.60 | 15.10 | 14.60 | 24.30 | 15.20 | n/a | 42.30 | 20.80 |
| AI4Bharat IndicWhisper | 10.30 | 12.00 | 15.00 | 11.40 | 7.60 | n/a | 26.80 | 13.80 |
| Shunya HEEP-Indic (Zero STT Indic) | 8.53 | 8.97 | 9.96 | 11.04 | 6.59 | 12.05 | 25.98 | 11.90 |
14% relative gain over IndicWhisper, 40% relative gain over the next strongest commercial system. First-ever ASR coverage on Bhojpuri, Chhattisgarhi, Magahi, and Maithili (RESPIN benchmark) - dialects that don't appear on any competitor's leaderboard because no competitor has evaluated on them.
Optimized for Indian Speech
Streaming & Batch
Same accuracy across both modes.
Speaker Diarization
Separate speakers even in multilingual conversations.
Intent & Sentiment
Extract customer intent alongside transcription.
Native Code-Switching
Hindi-English, Tamil-English, Bengali-English, Marathi-English and more.
Proper Noun Biasing
Customer names, Village names, Government schemes, Addresses, Organizations, Brand names
Noise Robustness
Built for phone calls, roadside conversations, and low-bandwidth audio.