Get the transcript resource. The transcript is ready when the "status" is "completed".

Create a transcript from a media file that is accessible via a URL.

Get the transcript split by sentences. The API will attempt to semantically segment the transcript into sentences to create more reader-friendly transcripts.

Retrieve the redacted audio object containing the status and URL to the redacted audio.

Retrieve a LeMUR response that was previously generated.

Delete the data for a previously submitted LeMUR request. The LLM response data, as well as any context provided in the original request will be removed.

Use the LeMUR task endpoint to input your own LLM prompt.

Get the transcript split by paragraphs. The API will attempt to semantically segment your transcript into paragraphs to create more reader-friendly transcripts.

Export your transcript in SRT or VTT format to use with a video player for subtitles and closed captions.

Create a temporary authentication token for Streaming Speech-to-Text

Retrieve a list of transcripts you created. Transcripts are sorted from newest to oldest. The previous URL always points to a page with older transcripts.

Remove the data from the transcript and mark it as deleted.

Use LeMUR to generate a list of action items from a transcript

Search through the transcript for keywords. You can search for individual words, numbers, or phrases containing up to five words or numbers.

Custom Summary allows you to distill a piece of audio into a few impactful sentences. You can give the model context to obtain more targeted results while outputting the results in a variety of formats described in human language.

Question & Answer allows you to ask free-form questions about a single transcript or a group of transcripts. The questions can be any whose answers you find useful, such as judging whether a caller is likely to become a customer or whether all items on a meeting's agenda were covered.