
Sonix.ai
Otter.ai
Descript
HappyScribe
Trint
Notta.ai
Rev.com
TurboScribe
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Sonix.ai
Scikit ImageBased on our record, Sonix.ai should be more popular than Scikit Image. It has been mentiond 12 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.
Sonix | Senior Full-Stack Engineer | Remote (US only) | Full-time | Ruby on Rails + React Sonix (https://sonix.ai) is an AI-powered transcription and translation platform used by thousands of businesses, researchers, media teams, and legal professionals around the world. Weโre profitable, bootstrapped, and growing fast. Weโre looking for a senior full-stack engineer to join our small team. Youโll work directly... - Source: Hacker News / about 1 year ago
There's dozens of tools out there for this these days. I'd recommend sonix.ai they give you 30 minutes free. Source: about 3 years ago
Do you have a budget? If so, there's this tool I've worked with called Sonix that generates transcripts of what you feed into it. It's not super accurate, but it's good enough. One of the features is that you can "highlight" chunks of text, and have it spit out an XML that will have a sequence containing only the highlighted text. Source: over 3 years ago
Sonix was the one I used because it had 30 free minutes and the video was only 10-11 minutes long. It seems to have done a really decent job, but not sure if that's because the source audio is pretty clear. Source: over 3 years ago
Sonix.ai does many languages and is quite good. Source: over 3 years ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / over 2 years ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / over 2 years ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 3 years ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: over 4 years ago
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
OpenCV - OpenCV is the world's biggest computer vision library
Descript - Text-based audio editor and automated transcription
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
HappyScribe - Happy Scribe automatically transcribes your interviews
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.