Leverage the world's most accurate speech-to-text model — OpenAI Whisper — to build real-time transcription, voice analytics, meeting intelligence, and accessibility solutions with near-human accuracy across 99+ languages.
Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data. It achieves state-of-the-art accuracy even in noisy environments and supports:
Near-human transcription quality across diverse accents, domains, and audio conditions.
Transcribe and translate audio from virtually any language with high fidelity.
Works reliably in real-world environments — meetings, calls, podcasts, events.
Fine-tune on your domain-specific audio for even higher accuracy.
Enable instant live transcription for calls, virtual meetings, dashboards, and AI assistants.
Seamlessly integrate Whisper with CRMs, customer support systems, IVRs, and analytics platforms.
Real-time captions & summaries for Zoom, Teams, Google Meet with speaker identification.
Transcribe customer calls, detect sentiment, extract insights, and automate QA.
Auto-generate accurate transcripts, chapters, and searchable text for content platforms.
Real-time captions for deaf/hard-of-hearing users in education, events, and media.
Secure, accurate voice-to-text for doctors, lawyers, and compliance-heavy industries.
Build multilingual voice interfaces for apps, devices, and customer service bots.