Convert Speech to Text in Python in 5 Minutes

In this tutorial, learn how to perform Speech-to-Text using Python and AssemblyAI's Speech-to-Text API within 5 minutes. To interact with the API, use AssemblyAI's Python SDK. First, install the SDK using pip and obtain a free Speech-to-Text API key from the AssemblyAI website. Next, store your API key as an environment variable to secure it. To transcribe an audio file, create a `main.py` file and import the assemblyai package. Instantiate a Transcriber object and use its `transcribe()` method to pass in the location of the audio file. Finally, print the results of the transcript by accessing the text attribute of the resulting Transcript object. For further analysis, you can utilize LeMUR for generating summaries or action items from meetings, answering questions about a file's content, and defining custom tasks for LeMUR to perform on the transcript. Additionally, use Audio Intelligence models to extract useful information from your audio and video files, such as sentiment analysis or automatically segmenting the transcript into chapters with timestamps and summaries. To learn more about AssemblyAI's API capabilities, check out their website or Playground for a no-code way of trying out different features.