SpeechText.AI can use one of several machine learning models to transcribe audio files based on the original type of the audio. It provides multiple pre-built models, and you can improve the quality of speech recognition for various types of audio. If you specify the type of the original audio, this will allow the service to process your audio files using a machine learning model trained from data similar to your file.
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Based on our record, Ollama seems to be a lot more popular than SpeechText.ai. While we know about 38 links to Ollama, we've tracked only 2 mentions of SpeechText.ai. 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.
What programming language are you using? I am building a news site based on hackernews posts (https://news.facts.dev/) and I use these tools: https://ollama.com/ (llama3 as self hosted model). - Source: Hacker News / about 8 hours ago
Whats better in that then ollama with open webui? https://ollama.com/. - Source: Hacker News / 2 days ago
In an era where data privacy is paramount, setting up your own local language model (LLM) provides a crucial solution for companies and individuals alike. This tutorial is designed to guide you through the process of creating a custom chatbot using Ollama, Python 3, and ChromaDB, all hosted locally on your system. Here are the key reasons why you need this tutorial:. - Source: dev.to / 5 days ago
Ollama is a self-hosted AI solution to run open-source large language models on your own infrastructure, and Codestral is MistralAI's first-ever code model designed for code generation tasks. - Source: dev.to / 11 days ago
Finally, you need Ollama, or any other tool that letʼs you run a model and expose it to a web endpoint. In the example, we use Meta's Llama3 model. Models like CodeLlama:7b-instruct also work. Feel free to change the .env file and experiment with different models. - Source: dev.to / 10 days ago
Healthcare is one of the biggest industries in the world. Doctors, nurses, and other health care practitioners are using technology to enhance their performance. Voice recognition technologies and medical speech recognition software have become essential for healthcare providers. This sector includes many companies developing highly efficient voice recognition tools. Source: over 2 years ago
I also tried speechtext.ai which honestly did a very good job and I'm happy with it, but pricing wise it's too much. Source: almost 3 years ago
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