ValueXI adds Whisper support for audio data processing

Using the Whisper speech-to-text model, ValueXI can transcribe audio content into text, giving its AI modules access to a new layer of information. This opens up a range of practical applications, including:

• Evaluating call center performance and chatbot interactions, and analyzing script effectiveness

• Logging meetings and team discussions

• Preparing interview transcripts and training materials

• Processing audio from video recordings

Whisper is a state-of-the-art Automatic Speech Recognition (ASR) system that delivers high transcription accuracy and performs reliably on long, complex recordings. It runs locally — either on ValueXI’s servers or within the customer’s infrastructure — ensuring data privacy and full control without relying on external cloud services.

ValueXI integrates with CRMs, call tracking systems, internal archives, and other enterprise tools. Once audio is transcribed, the text can be passed to any supported Large Language Model (LLM) — including locally hosted DeepSeek, Gemma 3, or LlaMA, or cloud-based options like ChatGPT — for tasks such as semantic analysis, sentiment detection, profanity filtering, summarization, visualization, and more.

With this end-to-end process — from transcription to insight — ValueXI helps businesses turn audio into actionable data. Whether improving customer service, HR operations, analytics, or security, this solution makes it easy to work systematically with audio and extract what matters most.

The system supports asynchronous processing of wav, mp3, and opus audio files in English.

ValueXI is a suite of modular AI tools that helps companies rapidly adopt AI for sales, marketing, analytics, HR, customer service, and beyond. It supports both cloud and on-premise deployment, offering full control over your AI infrastructure.

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