Oodles builds production-ready speech-to-text solutions using OpenAI Whisper to convert audio into accurate, searchable, and actionable text at scale. Our Whisper-based systems are engineered using Python and PyTorch to power real-time transcription, multilingual analytics, meeting intelligence, and compliance-ready voice workflows across industries.
OpenAI Whisper is an automatic speech recognition (ASR) model trained on over 680,000 hours of multilingual audio data. It is implemented in Python using PyTorch and delivers state-of-the-art transcription accuracy across accents, noise conditions, and speaking styles.
At Oodles, Whisper is deployed with optimized audio preprocessing using FFmpeg, scalable inference pipelines, and REST/WebSocket APIs for both real-time and batch transcription.
Near-human transcription accuracy across accents, domains, and noisy audio.
Native transcription and translation across 99+ global languages.
Reliable performance in calls, meetings, podcasts, and outdoor recordings.
Fully Python-based ASR pipeline with PyTorch inference and customization.
Live transcription via WebSockets for meetings, calls, and dashboards.
Connect Whisper with CRMs, analytics tools, IVRs, and data pipelines.
Real-time captions, timestamps, and speaker-aware transcripts.
Voice-to-text pipelines for QA, compliance, and analytics.
Searchable transcripts and chapter generation at scale.
Closed captions and live subtitles for inclusive experiences.
Secure speech recognition for regulated environments.
Multilingual speech interfaces powered by Whisper ASR.