Swift AI
Keras
TFlearn
SwiftUI Inspector
Knet
Microsoft Cognitive Toolkit (Formerly CNTK)
Swift Playgrounds
Clarifai
Otter.ai
Fireflies.ai
Sonix.ai
HappyScribe
tl;dv
Descript
Trint
Notta.ai
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.
Swift AISwift AI is recommended for developers who are already using Swift for their iOS or macOS projects and are looking to incorporate machine learning capabilities directly into their applications without having to switch to another language. It is ideal for those who prefer the syntax and performance of Swift and are aiming to benefit from tight integration with Apple’s platforms.
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Software 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, Otter.ai seems to be more popular. It has been mentiond 3 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.
Otter.ai: Auto-record, transcribe, and tag meetings. - Source: dev.to / about 2 months 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 / 6 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 / about 1 year 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
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Fireflies.ai - Record, transcribe and search your calls
TFlearn - TFlearn is a modular and transparent deep learning library built on top of Tensorflow.
Sonix.ai - Automatically convert audio & video to text in minutes
SwiftUI Inspector - Export your designs to SwiftUI code
HappyScribe - Happy Scribe automatically transcribes your interviews
