Deploy fast, accurate, and secure Automatic Speech Recognition systems supporting 100+ languages, real-time streaming, speaker diarization, custom vocabulary, and domain-specific fine-tuning.
Automatic Speech Recognition (ASR), also known as Speech-to-Text (STT), is an AI technology that converts spoken language into written text with high accuracy — even in noisy environments, multiple speakers, accents, and technical jargon.
Modern ASR leverages deep learning models like OpenAI Whisper, Google Speech-to-Text, NVIDIA NeMo, DeepSpeech, and custom-trained transformers to deliver near-human transcription performance.
Live transcription for calls, meetings, broadcasts, and voice assistants.
Multilingual support including Hindi, Arabic, Spanish, Mandarin, and regional dialects.
Identify and label “who spoke when” in multi-speaker conversations.
Fine-tune ASR engines on your industry jargon, names, and acronyms.
Deploy fully offline or air-gapped solutions for sensitive data (healthcare, legal, defense).
Intelligent capitalization, punctuation, timestamps, and profanity filtering.
Real-time transcription, sentiment analysis, compliance monitoring, and agent assist.
Clinical speech recognition with HIPAA-compliant, medical-vocabulary-trained models.
Ultra-low latency captions for TV, webinars, and virtual events.
Natural conversation understanding for smart devices and telephony systems.
High-accuracy multi-speaker transcription with timestamps and speaker labels.
Automatic lecture transcription, searchable notes, and accessibility subtitles.
We leverage state-of-the-art Automatic Speech Recognition (ASR) technologies to build high-accuracy, real-time speech solutions for global enterprises.
High-accuracy multilingual speech recognition powered by deep learning.
Customizable ASR pipelines optimized for GPU acceleration.
Fast, scalable cloud-based ASR with robust real-time support.
Enterprise-grade speech solutions with speaker identification.
Open-source speech recognition optimized for offline environments.