ClipConverter.cc Reviews

1. Softlay

   | Editor at Softlay | over 3 years ago

   Clip Converter is alternative way to save YouTube Videos into multiple file formats. Supports Tablets, iPhone, & Mac..... With Clip Converter you can convert YouTube to MP4, 3GP, MKV, AVI, MOV file formats up-to 4K resolution.

AssemblyAI Reviews

ClipConverter.cc mentions (0)

AssemblyAI mentions (8)

• We Created Something Cool to Help Streamers Grow, What Do You Think? DailyClips.io

  The auto caption is from assemblyai.com, they do a pretty good job. As for manual, you can do `Add Layer` > `Text` from the short-form editor then trim each text layer. Its slow going though. Ideally we will figure out a better interface and build it. For now I recommend using the auto caption, then modifying it to your liking, if there is more than a few words it will probably be faster. Thanks for the kind words! Source: about 1 year ago

• How I applied nlp to various youtube videos

  Assemblyai is a great tool for extracting transcripts from videos, I have used it for investor presentations from other sources. - Source: dev.to / almost 2 years ago

• Top AI Startups to Watch in 2022

  AssemblyAI is pioneering accurate and accessible speech recognition powered by cutting edge Deep Learning, Machine Learning, and AI research. Its Speech-to-Text API transcribes audio and video files and live audio streams with industry-best accuracy. In addition, the company offers Audio Intelligence APIs that secure higher ROI for users, including Sentiment Analysis, Topic Detection, Content Moderation, Auto... - Source: dev.to / over 2 years ago

• Speaker diarization

  Check out http://assemblyai.com/ - the API has pretty good Diarization results and is free for small volumes of data. Source: over 2 years ago

• I analyzed the last year of popular news podcasts to see if the frequency of negative news could be used to predict the stock market.

  Hello r/python community. I spent a couple weeks analyzing some podcast data from Up First and The Daily over the last year, 8/21/2020 to 8/21/2021 and compared spikes in the frequency of negative news in the podcast to how the stock market performed over the last year. Specifically against the DJIA, the NASDAQ, and the price of Gold. I used Python Selenium to crawl ListenNotes to get links to the mp3 files,... Source: almost 3 years ago