
Dedicated Developer
A Whisper Developer works exclusively on your project, integrated with your team's tools and workflows.
Our developers build production speech-to-text systems using OpenAI's Whisper model. Transcription, real-time captioning, voice search, and multilingual audio processing, deployed on-premise or in the cloud.

AI-assisted post-processing pipelines that correct industry terminology, proper nouns, and technical vocabulary that general Whisper models transcribe incorrectly.
Optimized streaming architectures that process audio in real time for live captioning, voice commands, and conversational AI, with latency under 500ms.
AI benchmarks transcription accuracy against domain-specific test sets, tracking word error rate across model updates and configuration changes.
AI tools analyze your audio volume and latency requirements to recommend the right deployment strategy: API, self-hosted GPU, or edge deployment.
Batch and real-time audio transcription for meetings, calls, podcasts, and media. Speaker diarization, timestamps, and formatted output.
Voice-powered search and command interfaces for applications. Natural language understanding on top of Whisper transcription for intent extraction.
Audio processing in 90+ languages with automatic language detection. Translation from source language to English for cross-language applications.
Automated meeting notes, action item extraction, sentiment analysis, and summary generation from recorded or live audio streams.
Real-time captioning for live events, educational content, and workplace accessibility. WebVTT and SRT subtitle generation from audio.
Self-hosted Whisper deployments for organizations that require data to stay within their infrastructure. GPU-optimized Docker containers with API endpoints.
From first conversation to a developer shipping code on your project, the process is designed to be fast, transparent, and low-risk.





A Whisper Developer works exclusively on your project, integrated with your team's tools and workflows.

We assemble and manage a Whisper team with a tech lead, handling delivery end-to-end against your requirements.

Fixed scope, timeline, and budget. We deliver the project and hand off the codebase with documentation.
75%
Automated extraction and classification
50%
Faster Resolution Time
30%
Fewer Misrouted Tickets
97%
Compliance Effort Reduction
25%
Faster English Acquisition
15,000+
Multilingual Support for 15k+ Users
85%
Extraction Accuracy
70%
Faster Document Processing
90%
Reduction in Manual Review