Discover how to effortlessly transform your audio recordings into detailed meeting minutes with our comprehensive no-code AI workflow guide. Save time and boost productivity by automating your note-taking process. Ideal for professionals looking to enhance meeting efficiency without technical expertise.
Tanja Bayer
Tanja Bayer
·5 min read
In today's fast-paced business environment, the efficiency of meetings can significantly affect productivity and decision-making. However, compiling accurate meeting minutes can be a time-consuming task. Thanks to advancements in AI and automation tools like Nocodo AI , you can now effortlessly transform audio recordings into detailed, actionable meeting minutes. This step-by-step guide will walk you through setting up a workflow in Nocodo AI to automate this process, saving time and enhancing meeting productivity.
Recording the Meeting Audio
Choose a Reliable Recording Tool
To begin, you need a high-quality recording of your meeting. For users of iPhone, iPad, or Mac, the 'Voice Memos' app offers a straightforward solution. Alternatively, Windows or Android users might prefer Audacity or OBS Studio, which are robust, free options available on multiple platforms.
Voice Memos Recording
Ensure Clarity of Recording
The clarity of the recording is crucial for transcription accuracy. Avoid background noise and ensure the recording device is placed close to the speaker(s). Test your setup before the meeting starts to guarantee optimal audio quality.
If you don't already have an account, visit Nocodo AI to sign up. The platform offers a passwordless magic-link feature for a seamless login experience.
Once logged in, start a new project by selecting the option to create a new project. This is where you'll build your automated workflow.
Project Dashboard
Upload Your Audio File
Upload the recorded audio file to an S3 Bucket. Ensure that the file is accessible and properly configured for integration into your workflow.
Setting Up the Workflow
Step 1: Drag and Drop the File Reader
Begin by dragging and dropping the File Reader node into your project. Configure it to access the audio file you previously uploaded.
Step 2: Configure AWS Transcribe
Add the AWS Transcribe Node and an AWS Config Node to your stack. Enter your AWS credentials, including your Access Key ID, Secret Access Key, and region, in the config. Then, connect the audio file output from your cloud storage node to the AWS Transcribe Node.
Step 3: Insert a Text Input for Summary
Insert a text input node with a template instructing the AI to summarize the meeting. This node should be connected to the text output of the AWS Transcribe Node.
You can use the following prompt or create your own prompt based on your specific needs, make sure you put the input variable for the transcribed text into the right place:
Summarize the meeting based on the following information:Participants: List all key participants and their roles. For example, include the names and positions of individuals such as project managers, team leads, stakeholders, etc.Date and Time: Specify the date and duration of the meeting.Agenda: Briefly outline the main topics or agenda items discussed during the meeting.Key Points: Highlight the most important points discussed in each agenda item. This should include significant decisions made, critical discussions, and any notable disagreements or concerns.Action Items: Clearly list any tasks or actions that were assigned during the meeting, who they were assigned to, and their deadlines if mentioned.Follow-up: Identify any scheduled follow-up meetings or next steps agreed upon at the end of the meeting.Summary: Provide a concise summary that encapsulates the overall tone and outcome of the meeting, including any consensus or major resolutions achieved.Format:Start with a header that includes the meeting title, date, and time.Use bullet points or numbered lists for clarity where appropriate.Ensure the summary is structured in the same order as the points above for consistency.Please ensure the summary is clear, concise, and captures the essence of the meeting without unnecessary detail.Meeting Content:---input-0---
Step 4: Integrate AWS Bedrock with Claude 3 Haiku
Add an AWS Bedrock node, selecting 'Claude 3 Haiku' as the model. Connect the AWS Config output to the Bedrock input for further processing.
Step 6: Save and Execute the Stack
Finally, save your workflow and execute it by clicking the 'Execute' button.
Nocodo AI graph to create meeting minutes transcript from audio
Conclusion
By automating the creation of meeting minutes with Nocodo AI , you ensure that you can focus more on the meeting discussions and less on note-taking. This workflow not only saves time but also guarantees that all points discussed are captured accurately and efficiently. Enhance your meeting productivity by starting with Nocodo AI today!
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