Learn about Deepgram's Model feature, which allows you to supply a model to use to process submitted audio.
Learn about Deepgram's Sample Rate feature, which allows you to specify the version of the model you want to use to process your submitted audio.
Learn about Deepgram's Language feature, which allows you to supply a BCP-47 language tag that hints at the primary spoken language of submitted audio.
Learn about Deepgrams' punctuation feature, which adds punctuation and capitalization to your transcript.
Learn about Deepgram's Profanity Filter feature, which looks for recognized profanity and converts it to the nearest recognized non-profane word or removes it from the transcript completely.
Learn about Deepgram's Redaction feature, which redacts sensitive information, replacing redacted content with asterisks.
Learn about Deepgram's Diarize feature, which allows you to recognizes speaker changes in submitted audio.
Named-Entity Recognition (NER)
Learn about Deepgram's Named-Entity Recognition (NER) feature, which recognizes alphanumerics in audio and removes whitespace between the characters in the transcript.
Learn about Deepgram's Multichannel feature, which transcribes each channel in submitted audio independently.
Learn about Deepgram's Numerals feature, which converts numbers from written format to numerical format.
Learn about Deepgram's Search feature, which searches for terms or phrases in submitted audio.
Learn about Deepgram's Callback feature, which allows you to have your submitted audio processed asynchronously.
Learn about the keyword boosting feature available in Deepgram's API and understand how to use it to boost or suppress Out-of-vocabulary (OOV) keywords.
Learn about the utterances feature available in Deepgram's API.
Learn about Deepgram's Utterance Split feature, which detects pauses between words in submitted audio. Used when the Utterances feature is enabled for pre-recorded audio.
Learn about Deepgram's Interim Results feature, which provides preliminary results for streaming audio to solve the need for immediate results combined with high levels of accuracy.
Learn about Deepgram's Endpointing feature, which monitors incoming streaming audio and detects when a user has finished speaking or paused for a significant amount of time, indicating the completion of an idea.
Learn about Deepgram's Encoding feature, which allows you to specify the expected encoding of your submitted audio.
Learn about Deepgram's Channels feature, which allows you to specify the number of independent audio channels your submitted audio contains. Used when the Encoding feature is also being used to submit streaming raw audio.
Learn about Deepgram's Sample Rate feature, which allows you to specify the sample rate of your submitted audio. Required when the Encoding feature is also being used to submit streaming raw audio.