Spoken knowledge in your system – not as an audio file that no one transcribes.
Connecting to the Whisper API – Custom and Seamless
Whisper is a speech recognition model developed by OpenAI that converts audio to text – reliably, multilingual, and with high accuracy. Through the API or as a self-hosted model, companies can transcribe meetings, document phone calls, analyze voice memos, and make audio content searchable. For operationally complex companies, Whisper is relevant because a significant part of organizational knowledge exists in spoken form – in meetings, phone calls, dictations, and voice messages – and is lost if not systematically captured. We integrate the Whisper API into custom business software. No pre-made standard connection, no plugin with limitations – just a tailored integration that fits precisely with your processes and your system.
What We Integrate
| Integration Possibilities | |
|---|---|
| 🔄 | Automatically transcribe audio files and provide them as text in the central system |
| 📊 | Make conversation content analyzable – extract topics, sentiments, and keywords from transcripts |
| 📄 | Automatically generate meeting minutes, conversation notes, and dictations from audio |
| ⚡ | Event-driven workflows – e.g., automatically create summaries and derive tasks after phone calls |
| 🔗 | Seamless connection to CRM, project management, knowledge databases, telephony, and other systems |
How the Integration Works
We work directly with the OpenAI Whisper API or a self-hosted Whisper model – depending on the requirements for data protection, latency, and volume. The integration is developed as a fixed part of your operating system – no third-party middleware, no workaround. What this concretely means:
| 🏗️ | Custom integration – built for your processes, not for the average |
| 🔄 | Automatic data flow – audio files are transcribed without manual intervention |
| 🗄️ | A data foundation – transcripts flow into your central system and become searchable |
| 🛡️ | Secure and GDPR-compliant – self-hosting possible, audio data encrypted and documented |
Typical Use Case
A consulting firm with 50 employees conducts dozens of customer conversations and project meetings weekly. The conversation content is then manually documented – if at all. Important details are lost. New employees have no access to what was discussed in past meetings.
With the integration, conversations are automatically transcribed. After a customer call, the transcript is in the system – assigned to the correct customer and project. AI creates a structured summary: topics, decisions, open tasks. Tasks are automatically created in project management. Keywords become searchable. Spoken knowledge is systematically captured – instead of fading away in minds and non-existent protocols.
Part of Your Operating System
Whisper is one of the most powerful speech recognition models available today. But when used in isolation, it remains a transcription service without operational context. Only as part of an integrated system does Whisper fully realize its benefits – when transcripts are automatically assigned to processes, AI derives summaries and tasks, and spoken knowledge no longer gets lost but becomes part of organizational knowledge. We develop AI-powered operating systems for operationally complex companies. The Whisper integration is one component of that.