Platform / Speech to Text

AI-Powered Speech Recognition

Convert speech to text in real time, with intelligent noise handling

Technical Specifications

Accent Handling

Transcription tuned for Indian and regional accents

Real-Time Streaming

Get transcriptions as words are spoken

Noise Reduction

Clear transcription even in noisy environments

Speaker Diarization

Identify and label different speakers automatically

Performance Metrics (2024-2025)

24/7

Availability

Agents answer day and night

Indic

Language support

Hindi, Tamil, Telugu & more

API

Open APIs

REST APIs and webhooks

CRM

Integrations

Connect your existing tools

How We Compare

Feature	SharyX	Competitor A	Competitor B
Natural Voice Quality
Multi-Language Support
Real-Time Analytics
Custom Voice Cloning
On-Premise Deployment
Indian Language Support

Problems We Solve

Challenges and How We Solve Them

Robotic, unnatural voice quality frustrates customers

Neural TTS with human-like intonation and emotion

Callers hear a natural, human-like voice

High latency causes awkward conversation pauses

Low-latency responses with streaming speech processing

Smoother, more natural conversations

Limited language support excludes regional customers

Conversations in Hindi, Tamil, Telugu, English and other languages

Reach customers in the language they prefer

Complex integration delays deployment by months

Pre-built connectors and REST APIs

Faster deployment

Frequently Asked Questions

Accuracy depends on audio quality, language and accent. We test with your own call recordings during the pilot so you can measure it before going live.

Yes, our models are trained on diverse accents including Indian English, British, American, and regional language accents.

Yes, our speaker diarization feature can identify and separate up to 10 different speakers in a single audio stream.

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