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Creating a Knowledge Base from Video Calls Using STT and ChatGPT

Learn to build a knowledge base from video calls using speech-to-text, ChatGPT, and knowledge base software for an accessible, up-to-date information hub.

Knowledge Base from Video Calls

In today's fast-paced business environment, organizations are constantly seeking ways to improve their knowledge management systems. One innovative approach to capturing valuable information is by creating a knowledge base from video calls with customers and teams. This method not only saves time but also enhances the quality of your knowledge base. In this post, we'll discuss how to utilize speech-to-text technology, ChatGPT, and knowledge base software to create an effective knowledge repository from video call interactions.

Step 1: Record and Transcribe Video Calls Begin by recording your video calls with customers and team members, ensuring that you have the necessary permissions and comply with privacy regulations. Once recorded, use speech-to-text software to transcribe the audio into text format. There are several tools available, such as Google Cloud Speech-to-Text, Rev, or Otter.ai, that offer accurate transcription services.

Step 2: Identify Relevant Questions and Answers With the transcriptions in hand, the next step is to extract valuable information in the form of questions and answers. You can use ChatGPT to analyze the transcribed text and identify the most relevant questions and answers discussed during the video calls. ChatGPT is designed to understand context, enabling it to recognize essential topics and extract meaningful insights.

Step 3: Refine and Organize the Content Before integrating the extracted information into your knowledge base, take some time to review and refine the content. Ensure that the questions and answers are clear, concise, and free from any jargon or technical terms that might be difficult for users to understand. Organize the information using categories, tags, or a logical hierarchy, making it easy for users to find and navigate.

Step 4: Sync with Your Knowledge Base Software Once the content is refined and organized, import it into your knowledge base software. Choose a platform that supports seamless integration and syncing with various data sources, including transcriptions and AI-generated insights. This will enable you to maintain a centralized, up-to-date, and easily accessible repository of information.

Step 5: Continuously Update and Improve Your Knowledge Base Creating a knowledge base is an ongoing process. Continuously update and improve your knowledge base by incorporating new insights from video calls, user feedback, and analytics. Keep track of content gaps and address them promptly. Encourage collaboration and knowledge sharing among team members to enhance the overall quality and comprehensiveness of your knowledge base.

Conclusion: By leveraging video calls, speech-to-text technology, and AI-powered tools like ChatGPT, you can create an effective knowledge base that captures valuable insights from customer interactions and team discussions. This approach not only saves time but also ensures your knowledge base remains relevant, accurate, and accessible to all users. Continuously update and improve your knowledge base to stay ahead of the curve and provide exceptional support and service to your customers and team members.

Slawomir Kroczak

Slawomir Kroczak

The Co-Founder and CEO at SmartyMeet. With 15 years of experience in software development, I specialize in optimizing processes to enhance efficiency and drive growth.

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