Deepgram
Speechmatics
Fraim
Otter.ai
AssemblyAI
LumenVox ASR
Speechnotes
Lilyspeech
LangChain
Haystack NLP Framework
Dify.AI
Hugging Face
Datumo Eval
Braintrust
anydone
LangSmith
Deepgram LangChainIt's fast - but for an API, not the fastest speech-to-text. For a long while I hadn't done research and trusted them. Then tried Whisper and Picovoice. On-device latency is nothing comparable with cloud APIs. If latency is important go with Whisper or Picovoice. If customization is also important go with Picovoice.
don't get me wrong it's still faster than amazon, Microsoft or Assemblyai
Based on our record, Deepgram should be more popular than LangChain. It has been mentiond 31 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.
Start by hooking up speech-to-text (STT) using something like OpenAI’s Whisper if you’re going open source, or Deepgram if you want a super-accurate plug-and-play API. - Source: dev.to / 7 days ago
Deepgram specializes in real-time transcription optimized for specific industries and use cases. - Source: dev.to / 3 months ago
Customer service teams see immediate benefits. AI tools like Deepgram don’t just transcribe calls; they analyze sentiment, flag complaints, and identify patterns. Deepgram charges $1.25 per hour of audio, meaning 50 hours of customer calls costs $62.50—a fraction of traditional pricing. With this data, businesses can refine strategies, solve problems faster, and improve customer satisfaction. - Source: dev.to / 5 months ago
For $5 for 20 hours of audio you can try https://deepgram.com. They give $200 of credit. - Source: Hacker News / 12 months ago
Lastly, we will be using Deepgram Audio Diarization APIs to get speaker details from a sample audio clip. - Source: dev.to / over 1 year ago
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 / 12 months 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
Speechmatics - The most accurate and inclusive speech-to-text API ever released.
Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.
Fraim - Fraim is a fully functional transcription service provider that allow the people to download the transcript services in the format that they require and even use the secure Fraim Channel to share the newly and searchable and interactive media with o…
Dify.AI - Open-source platform for LLMOps,Define your AI-native Apps
Otter.ai - Your AI meeting assistant that takes live notes and generates summaries and other insights using Meeting GenAI.
Hugging Face - The AI community building the future. The platform where the machine learning community collaborates on models, datasets, and applications.
