socketify.py
Audiolizer Cloud
Listening.io
Audemic
Article Reader AI
socketify.py Audiolizer CloudAudiolizer Cloud's answer:
Javascript and a bit of python
Audiolizer Cloud's answer:
Audiolizer is a platform that converts academic papers to audio. It is unique because it's not just a text-to-speech conversion, Audiolizer is capable of explaining math, tables or pictures from research papers, transforming visual content into a flawless audio experience
Audiolizer Cloud's answer:
You should choose Audiolizer if you want to understand the paper while hearing it, without feeling the need to look over it at each chapter. Audiolizer is the only product in its area capable of explaining sections of a paper like tables, making the audio experience seamless
Audiolizer Cloud's answer:
The primary audience of Audiolizer is composed of researchers, scientists, students, engineers of any particular domain. The only requirement is that the person consumes academic literature.
Audiolizer Cloud's answer:
I'm a Machine Learning engineer, and I always feel like I'm not reading enough literature and I'm not keeping up with the speed of my domain. The other tasks around me, like coding or meetings are always more important. I also feel like I need to optimize my time. So while I was washing dishes one day, I felt the need to listen to a research paper that was very hyped at that time. I checked everything from the internet, but most of the current platforms are just doing basic text-to-speech, and the visual information is not very well translated. I lost my attention in seconds. And that's when I started crafted prompts and AI interactions that would explain the visual ques, but without losing the substance of the paper. That's how Audiolizer was born
Audiolizer Cloud's answer:
Audiolizer is a freshly launched platform, with no customers at this time. The platform was tested while it was in its beta phase by over 80 people
Based on our record, socketify.py seems to be more popular. It has been mentiond 2 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.
These "benchmarks" are useless, they're not testing anything real world except the performance of uWebsockets. There are copy errors all over the place. And then an advertisement: https://github.com/cirospaciari/socketify.py#briefcase-comme... Is this a professional framework that produces proper, real-world benchmarks and... - Source: Hacker News / over 3 years ago
After starting the project called socketify.py at https://github.com/cirospaciari/socketify.py, I got pretty good results and reviews, but many people asked if socketify.py could be used to create a WSGI and ASGI server. WSGI and ASGI have a lot of overhead, that's is why I choose not to use them in the first place, but adding an ASGI and WSGI server allows a lot of code already written to run faster! Source: over 3 years ago
