Based on our record, Sonix.ai should be more popular than LangChain. It has been mentiond 11 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.
Undoubtedly, LangChain is the most popular framework for AI application development at the moment. The advent of LangChain has greatly simplified the construction of AI applications based on Large Language Models (LLM). If we compare an AI application to a person, the LLM would be the "brain," while LangChain acts as the "limbs" by providing various tools and abstractions. Combined, they enable the creation of AI... - Source: dev.to / about 1 year ago
Developed using Langchain and Streamlit technologies for enhanced performance. - Source: dev.to / about 1 year ago
LangChain was first released in October 2022 as an open-source side project, a framework that makes developing AI applications more flexible. It got so popular that it was promptly turned into a startup. - Source: dev.to / about 1 year ago
Being able to plug third party frameworks (Langchain, LlamaIndex) so you can build complex projects. - Source: dev.to / over 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: almost 2 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: about 2 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: about 2 years ago
Sonix.ai does many languages and is quite good. Source: about 2 years ago
I am struggling with this as well, but one good tool for me has been sonix.ai, which can transcribe pretty well (posted a little while ago about it). Source: about 3 years ago
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
Dify.AI - Open-source platform for LLMOps,Define your AI-native Apps
HappyScribe - Happy Scribe automatically transcribes your interviews
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
Trint - Transcribe spoken words from your video & audio files