Streaming Content
Use Cases
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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Channels
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.
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Diarization
Learn about Deepgram's Diarize feature, which recognizes speaker changes in submitted audio.
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Encoding
Learn about Deepgram's Encoding feature, which allows you to specify the expected encoding of your submitted audio.
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Endpointing
Learn about Deepgram's Voice Activity Detection (VAD) feature, which detects pauses in submitted audio. Used when the Endpointing feature is enabled for streaming audio.
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Interim Results
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.
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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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Sample Rate
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.
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Search
Learn about Deepgram's Search feature, which searches for terms or phrases in submitted audio.
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Tagging
Learn about Deepgram's Tagging feature, which allows you to label your requests for the purpose of identification during usage reporting.
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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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Voice Activity Detection (VAD)
Learn about Deepgram's Voice Activity Detection (VAD) feature, which detects pauses in submitted audio. Used when the Endpointing feature is enabled for streaming audio.
Blog Posts
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Get Live Speech Transcriptions In Your Browser
Learn how to use Deepgram's streaming audio feature with one HTML file.
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Live Transcription With Python and Quart
Learn how to do a live, real-time voice-to-text transcription with Quart's Python web microframework and Deepgram's Python SDK.
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Live Transcription With Python and Django
Learn how to do a live, real-time transcription with Django in Python and Deepgram
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Building a Voice-Powered Song Search
🎅 Let Deepgram detect the Christmas song
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Live Transcription With Python and FastAPI
Learn how to do a live, real-time transcription with FastAPI in Python and Deepgram
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Transcribing Twilio Voice Calls in Real-Time with Deepgram
In this tutorial, learn how to transcribe Twilio Voice calls with Deepgram with real-time speech-to-text.
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Live Transcription With Python and Flask
Learn how to do a live, real-time transcription with Flask in Python and Deepgram