Introduce a python AI web app with that transcribes audio/video meeting notes, translates different languages, and extracts insights from various file types!

Challenges:

As a knowledge worker, capturing notes during meetings or while learning can be time-consuming and distracting. Sometimes, I’m so focused on taking notes that I miss key parts of the conversation. Other times, I’m in a rush, and my handwritten notes are barely legible!

Solution: A Python Streamlit app with the following exploration

I explored several AI-driven solutions to address these issues, focusing on:

- Audio and video transcription—both practical and economical approaches

- Speech-to-text solutions, comparing cloud-based services and local implementations.

- Direct transcription from video files, eliminating the need for manual audio extraction.

- Identifying and annotating different speakers and marking timestamps.

- Multilingual transcription and translation, allowing for processing materials in various languages.

- Expanding beyond video and audio, looking into extracting insights from images, text files, and PDFs.

Outcome:

A Python Streamlit web app tailored to my workflow that handles video and audio transcriptions, supports multilingual translations, and processes multimodal information—everything from text files to images and PDFs.