Whisper, OpenAI’s Automatic Speech Recognition system, delivers multilingual, noise-tolerant, and technical-language-ready transcription through a streamlined encoder-decoder architecture. With Vodia PBX’s integration, organizations can choose between using OpenAI’s service or hosting Whisper AI locally for complete data sovereignty and control. This on-premise option ensures that sensitive call data stays within your infrastructure while still benefiting from powerful transcription capabilities. To explore deployment options, see our Whisper AI on-premise setup documentation, review a self-hosted integration example, or follow our cloud-based call transcription guide.
Whisper is OpenAI’s Automatic Speech Recognition (ASR) system. The system has been trained on about 700,000 hours of supervised data, both multilingual and multitask, collected from the Internet. Thanks to this training, accomplished with a diverse and massive set of data, Whisper manages accents, background noise, and technical language with impressive ease. It also performs transcription in numerous languages and translates these languages into American English.
Implemented as an encoder-decoder transformer, Whisper’s architecture is an uncomplicated, end-to-end approach: it breaks input audio into 30-second pieces, which are converted into a log-Mel spectrum and sent through an encoder; the decoder is trained to anticipate the proper text caption, combined with special tokens that direct the single model to undertake language identification, multilingual speech transcription, phrase-level timestamps, and speech translation to-English.
In November of last year we announced a beta version of the Vodia PBX that connects the telephone system to the beta version of the OpenAI realtime API. If your organization prioritizes data sovereignty and on-premises processing, Vodia also supports the deployment of Whisper AI within your dedicated infrastructure. This enables you to maintain full control over your transcription processes, ensuring sensitive call data remains securely within your network boundaries.
To view the transcribed content, simply log in to your user portal, navigate to the 'History' section, select the desired call, then examine the 'call content' area.
To ensure optimal performance when running Whisper AI on your own hardware, refer to the official hardware requirements outlined in the OpenAI Whisper GitHub repository.
Now that we’re supporting real-time AI API integration with OpenAI, we’re also looking at integrating with more AI providers, so we can provide seamless AI integration within workflows. We’d love to tell you all about it - reach out to us at sales@vodia.com or call +1 (617) 861-3490 (United States), +61 2 7201 0788 (APAC), or +49 30 555 78749 (Europe).
Vodia will be attending CVxExpo 2025 in Glendale, Arizona, from November 3–5. Sales Engineer Eric Altman will be on site to meet with current and prospective partners, demonstrating how Vodia’s PBX solutions can strengthen technology roadmaps for 2026. This year, Vodia highlights new integrations with ActiveCampaign, Freshdesk, HighLevel, Microsoft 365, Microsoft Presence, monday.com, and Odoo Cloud, along with enhanced call center capabilities such as agent activity dashboards, call recordings, and transcription features. Partners and attendees can schedule meetings with Eric to learn more about scalable, feature-rich, and cost-effective telecommunications solutions built for enterprises and SMBs.
Vodia Enterprise Call Analytics gives businesses comprehensive, real-time insights into every aspect of their call operations. Built natively into the PBX, it delivers live, color-coded dashboards, detailed call records, smart filtering, and exportable data. Enterprises can track key metrics such as answer rates, call volume, peak hours, talk times, and top performers, while also monitoring call quality through integrated MOS scoring. By turning call data into actionable intelligence, Vodia helps organizations optimize team productivity, improve customer experience, manage costs effectively, streamline workflows efficiently, and make smarter, data-driven decisions that contribute directly to revenue, operational performance, and long-term ROI.
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