Materialize CSS
Bootstrap
Tailwind CSS
Foundation
Semantic UI
UIKit
Bulma
Material UI
Otter.ai
Fireflies.ai
Sonix.ai
tl;dv
HappyScribe
Notta.ai
Descript
Trint
Otter.ai uses an AI Meeting Assistant to transcribe meetings in real time, record audio, capture slides, extract action items, and generate an AI meeting summary.
Materialize CSSSoftware is great & good to see sales being considered more with CRM integrations. Only pain point is inability to download summaries as PDFs
Based on our record, Materialize CSS should be more popular than Otter.ai. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Materialize is a modern CSS framework based on Google’s Material Design. It was created and designed by Google to provide a unified and consistent user interface across all its products. Materialize is focused on user experience as it integrates animations and components to provide feedback to users. - Source: dev.to / 7 months ago
Materialize was created by a team of developers at Google, inspired by the principles of Material Design. Material Design is a design language developed by Google that emphasizes tactile surfaces, realistic lighting, and bold, graphic interfaces. Materialize aims to bring these principles to web development by providing a framework with ready-to-use components and styles based on Material Design. - Source: dev.to / about 1 year ago
If you wanna make it look nice use materialize css works great with Django templates. Source: almost 2 years ago
You can also visit the Materialize website and GitHub repository which currently has garnered over 38k likes and has been forked over 4k times by developers. - Source: dev.to / about 2 years ago
This repository consists of files required to deploy a Web App or PWA created with Materialize Css. - Source: dev.to / over 2 years ago
Otter.ai: Auto-record, transcribe, and tag meetings. - Source: dev.to / 6 days ago
We use LLMs to do proofreading and editing of transcripts after they are edited by people. They are good at applying our customer's specific requirements (e.g. capitalization, formatting, etc.) without us having our folks worry about any of that. We use https://transcriberai.com or https://otter.ai/ (there are a bunch) to create the first transcript for our transcriptionists. - Source: Hacker News / 5 months ago
Some good transcription solutions: https://zapier.com/blog/best-text-dictation-software/#windowsspeech https://otter.ai/ (Haven't actually tried Otter, but it gets a LOT of good reviews.). - Source: Hacker News / 11 months ago
Of course, there are many existing solutions like Otter.ai or Fathom in the market. But in case you want to build a tool yourself and customize the output of it, then you are on the same page as me. To develop this application, we will use Unbody to convert input video transcriptions into intelligence/generative content and Appsmith to make it easy to design and build the UI of our app without extensive front-end... - Source: dev.to / over 1 year ago
This is weird but I wonder if you could use something like https://otter.ai/. Record your notes as you are going. That should give you at least text of all of your welds. You’d still have to punch it later. Seems like there’s got to be a better way to do this. Stopping every time to break your flow sounds like a huge pain in the ass. Curious what you come up with. Source: over 1 year ago
Bootstrap - Simple and flexible HTML, CSS, and JS for popular UI components and interactions
Fireflies.ai - Record, transcribe and search your calls
Tailwind CSS - A utility-first CSS framework for rapidly building custom user interfaces.
Sonix.ai - Automatically convert audio & video to text in minutes
Foundation - The most advanced responsive front-end framework in the world
tl;dv - 📆 Add tl;dv to any meeting from any provider 🎥 Capture meeting moments on the fly --> Save everyone's time --> Keep colleagues up to date