AI video meeting summarization tool: increased meeting documenting and information analysis efficiency

Innowise has developed an innovative software solution that employs artificial intelligence to analyze video call recordings and generate concise summaries.

Customer

Industry

Marketing

Region

Client since

2023

The client is a digital marketing firm based in the EU. As a digitally oriented company, they face challenges in managing and documenting the high volume of video meetings critical to their remote and in-office teams.

Detailed information about the client cannot be disclosed under the provisions of the NDA.

Challenge

Manual meeting documenting and transcription takes too much time

With a substantial portion of the workforce operating remotely, the firm struggled to effectively document and follow up on discussions held via video conferencing platforms. They previously had to manually transcribe and summarize each meeting for documentation and audit purposes. The process was inefficient and time-consuming.

Seeking a solution that would automatically summarize the meetings, the client required that it would integrate with their custom digital file storage. This way, they can keep their data flow organized in a single space.

Solution

AI-powered meeting summarizer

Given the integration requirements, the Innowise engineers opted for building a custom solution instead of using the third-party application.

Our AI team crafted a speech-to-text solution that used AI algorithms to analyze video call recordings, highlight pivotal moments, and compile these into a streamlined video and text summary. The tool enhances the process of reviewing and documenting the contents of online meetings. This solution consists of several key components:

Input options

The software offers versatile input functionalities: users can either upload their video files directly from their devices or utilize links to recordings stored on popular video hosting platforms such as Vimeo or YouTube. This flexibility is designed to accommodate various user preferences and the diverse nature of digital work environments. This way all team members, regardless of their technical capabilities or resources, can easily use the tool.

Video summarization

Utilizing advanced artificial intelligence features, the speech-to-text solution thoroughly scans each meeting recording to identify key moments that are crucial for understanding the overall context of the meeting. It detects important dialogue, transitions between speakers, and other visual cues that signify a shift in discussion or a highlight within the conversation. The AI then compiles these identified segments into a cohesive video summary along with a transcript. This process preserves the essence of the meetings and presents them in an easily digestible format.

Output customization

The software is also equipped with extensive customization options for the output. Users can select from a variety of summary styles — ranging from more detailed to concise — depending on the depth of information required. Additionally, they can use filters to focus the summary on specific topics or speakers. These customization features ensure that the summarized content is not only relevant but also aligned with the specific informational needs and preferences of its users.

Technologies

Front-end

React, Vue.js, Typescript, Axios, GraphQL, WebRTC, WebAssembly

Back-end

Python, FastAPI, PyTorch, Tensorflow, NLTK, Hugging Face, AllenNLP, Langchain, OpenAI API

Cloud

Lambda, SageMaker, Codebuild, CloudWatch, S3, EC2, ECR, EKS

VCS

Git, GitHub

DevOps

GitHub Actions. Docker, Docker Compose

Process

After thoroughly gathering and documenting the client’s requirements, the Innowise development team initiated the software engineering process. The experts implemented the Scrum methodology, organizing the work into two-week sprints to ensure regular progress and adaptability. The team held meetings three times a week to address critical issues and coordinate effectively. Additionally, the project manager conducted weekly calls to update the client on the ongoing development and gather any feedback to refine the process further.

Team

Project Manager

Front-End Developer

Back-End Developer

Machine Learning Engineers

QA Engineer

Results

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AI video meeting summarization tool: increased meeting documenting and information analysis efficiency

Customer

Challenge

Manual meeting documenting and transcription takes too much time

Solution