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Deepgram is a leading Voice AI API company that provides advanced speech recognition capabilities. It is designed to convert audio into text with high accuracy, making it an essential tool for developers building applications that require voice processing. Deepgram supports a variety of audio formats and offers real-time transcription, making it a versatile choice for many industries.
When using Deepgram, you might encounter an 'Audio Encoding Error'. This error typically manifests when the audio file you are trying to process is not encoded in a format that Deepgram supports. As a result, the API is unable to transcribe the audio, leading to failed requests or inaccurate transcriptions.
The root cause of the 'Audio Encoding Error' is often due to the audio file being encoded in an unsupported format or codec. Deepgram requires audio files to be in specific formats such as WAV, MP3, or FLAC, and encoded with codecs like PCM or AAC. If the audio file does not meet these requirements, the API cannot process it correctly.
For a comprehensive list of supported audio formats and codecs, refer to the Deepgram Audio Formats Documentation.
To fix the 'Audio Encoding Error', you need to re-encode your audio file using a supported format and codec. Below are the steps to achieve this:
First, determine the current format and codec of your audio file. You can use tools like FFmpeg to inspect the file:
ffmpeg -i your_audio_file
Once you know the current format, use FFmpeg to re-encode the file to a supported format. For example, to convert an audio file to WAV format with PCM encoding, use the following command:
ffmpeg -i your_audio_file -acodec pcm_s16le -ar 44100 output.wav
After re-encoding, verify that the new file is in the correct format and codec:
ffmpeg -i output.wav
By following these steps, you can resolve the 'Audio Encoding Error' and ensure that your audio files are compatible with Deepgram's API. For further assistance, visit the Deepgram Support Page.
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