Pre-Recorded Content
Guides & Features
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Callback
Learn about Deepgram's Callback feature, which allows you to have your submitted audio processed asynchronously.
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Diarization
Learn about Deepgram's Diarize feature, which recognizes speaker changes in submitted audio.
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Keywords
Learn about Deepgram's Keyword feature, which allows you to boost or suppress Out-of-vocabulary (OOV) keywords in submitted audio.
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Language
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.
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Model
Learn about Deepgram's Model feature, which allows you to supply a model to use to process submitted audio.
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Multichannel
Learn about Deepgram's Multichannel feature, which transcribes each channel in submitted audio independently.
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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.
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Numerals
Learn about Deepgram's numerals feature, which converts numbers from written format to numerical format.
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Profanity Filter
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.
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Punctuation
Learn about Deepgrams' punctuation feature, which adds punctuation and capitalization to your transcript.
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Redaction
Learn about Deepgram's Redaction feature, which redacts sensitive information, replacing redacted content with asterisks.
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Search
Learn about Deepgram's Search feature, which searches for terms or phrases in submitted audio.
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Utterance Split
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.
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Version
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.
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Utterances
Learn about Deepgram's utterances feature, which segments speech into meaningful semantic units.