Pre-Recorded Audio

URL to which we’ll make the callback request

HTTP method by which the callback request will be made

Custom topics you want the model to detect within your input audio or text if present Submit up to 100

Sets how the model will interpret strings submitted to the custom_topic param. When strict, the model will only return topics submitted using the custom_topic param. When extended, the model will return its own detected topics in addition to those submitted using the custom_topic param

Custom intents you want the model to detect within your input audio if present

Sets how the model will interpret intents submitted to the custom_intent param. When strict, the model will only return intents submitted using the custom_intent param. When extended, the model will return its own detected intents in addition those submitted using the custom_intents param

Identifies and extracts key entities from content in submitted audio

Identifies the dominant language spoken in submitted audio

Version of the diarization feature to use. Only used when the diarization feature is enabled (diarize=true is passed to the API)

Recognize speaker changes. Each word in the transcript will be assigned a speaker number starting at 0

Identify and extract key entities from content in submitted audio

Specify the expected encoding of your submitted audio

Arbitrary key-value pairs that are attached to the API response for usage in downstream processing

Filler Words can help transcribe interruptions in your audio, like “uh” and “um”

Recognizes speaker intent throughout a transcript or text

Key term prompting can boost or suppress specialized terminology and brands. Only compatible with Nova-3

Keywords can boost or suppress specialized terminology and brands

The BCP-47 language tag that hints at the primary spoken language. Depending on the Model and API endpoint you choose only certain languages are available

Spoken measurements will be converted to their corresponding abbreviations

AI model used to process submitted audio

Transcribe each audio channel independently

Numerals converts numbers from written format to numerical format

Splits audio into paragraphs to improve transcript readability

Profanity Filter looks for recognized profanity and converts it to the nearest recognized non-profane word or removes it from the transcript completely

Add punctuation and capitalization to the transcript

Redaction removes sensitive information from your transcripts

Search for terms or phrases in submitted audio and replaces them

Search for terms or phrases in submitted audio

Recognizes the sentiment throughout a transcript or text

Apply formatting to transcript output. When set to true, additional formatting will be applied to transcripts to improve readability

Summarize content. For Listen API, supports string version option. For Read API, accepts boolean only.

Label your requests for the purpose of identification during usage reporting

Detect topics throughout a transcript or text

Segments speech into meaningful semantic units

Seconds to wait before detecting a pause between words in submitted audio

Version of an AI model to use