In-Browser Whisper Speech AI Demo
Run fine-tuned Whisper speech recognition models directly in your browser without sending audio to external servers. High-performance inference powered by Transformers.js and Web Workers.
Whisper Model Engine
ONNX quantization & WASM runtime
Fastest initialization and lowest memory footprint. Optimized for English telephony audio.
Audio Input Channel
Microphone, file upload, or telephony presets
Zero-Data Egress: Your audio is decoded and processed completely within your browser using WebAssembly. No audio bytes or speech waveforms are transmitted to external servers.
Whisper Speech Transcript
No transcription output generated yet.
Select a telephony preset above or record microphone audio, then click "Transcribe Audio".
From Browser Demonstration to Production Telephony Scale
While client-side WebAssembly Whisper enables zero-egress offline demos, production call-center swarms handling 5,000+ concurrent channels require high-throughput GPU clusters, streaming WebRTC transport, and customized acoustic adapters.
Fine-Tuned Telephony Models
Off-the-shelf Whisper struggles with G.711 narrow-band 8kHz telephony codecs and Indian accents. We fine-tune Whisper v3 on domain-specific call recordings to achieve Word Error Rates below 4%.
Sub-100ms TensorRT-LLM
Compiled Whisper engines running on AWS EKS GPU worker nodes deliver continuous streaming transcription with under 100ms real-time chunk latency for live supervisor co-pilots.
Dual-Channel Diarization
Separating customer and agent SIP audio channels prevents transcription crosstalk and enables automated compliance scrubbing, PII redaction, and sentiment scoring.