Simplismart offers a high-performance, enterprise-ready deployment of our proprietary Whisper V3 Turbo model, optimized for fast, reliable, and cost-effective audio transcription at scale. Designed to handle real-world audio challenges, including noisy environments and diverse regional languages, our transcription service enables Azure customers to convert audio into accurate text seamlessly. It offers speed upto 1300x RTF meaning that you can transcribe an audio file of 1300 seconds in 1 second.

Why Simplismart Whisper V3 Turbo?
Traditional speech-to-text models often struggle with low-quality audio such as phone calls and noisy backgrounds, as well as regional accents and vocabulary. Simplismart’s Whisper V3 Turbo is fine-tuned with advanced techniques, including LoRA-based adapters and voice activity detection, to deliver improved transcription accuracy and robustness on challenging audio inputs.

Built on a modular inference engine optimized for Azure GPU infrastructure, our platform supports rapid auto-scaling and efficient model sharding, allowing you to handle millions of transcription requests with low latency and optimized cost.

Use Cases

• Healthcare: Automated transcription of doctor-patient conversations, clinical notes, and telemedicine sessions for improved record-keeping and compliance.

• BFSI (Banking, Financial Services & Insurance) and Fintech: Transcribing customer calls for fraud detection, regulatory compliance, and sentiment analysis in contact centers.

• Call Centers and Customer Support: Real-time transcription to enable faster query resolution, quality monitoring, and agent training.

• Media & Entertainment: Generating accurate subtitles and captions for multilingual broadcasting and streaming content.

• Market Research & Voice Analytics: Extracting insights from customer feedback, surveys, and focus groups across multiple languages and dialects

Highlights

• Fine-tuned Whisper V3 Turbo model enhances accuracy on low-quality and accented audio.

• Modular inference engine enables scalable, cost-efficient deployment with rapid auto-scaling and multi-GPU model sharding on Azure.

• Advanced Voice Activity Detection (VAD) improves clarity by filtering background noise.

• Multilingual and transliteration support for a wide range of indic languages.

• Timestamped transcriptions allow precise synchronization of text with audio for captions, subtitles, and analytics.

• Supports sub-300 millisecond latencies for interactive voicebots and real-time conversational AI.

• Multi-tenancy LoRA adapters allow serving thousands of fine-tuned models on shared GPU resources to optimize costs.

• Enterprise-grade security and compliance to meet data privacy and regulatory requirements.

• Easy integration with Azure APIs and UI for fine-tuning, deployment, and monitoring

About Simplismart
Simplismart is an inference-focused MLOps platform that enables enterprises to efficiently manage the entire lifecycle of their generative AI workloads—from fine-tuning and deployment to observability and benchmarking. Our platform simplifies complex AI infrastructure, helping organizations accelerate innovation while optimizing performance, cost, and scalability.

https://www.wetransact.io/