DeepgramSpeech to textComing soon

whisper-medium

Name: whisper-medium
Brand: Deepgram

whisper-medium is a speech to text tool from Deepgram that runs in the background and returns structured JSON. Coming soon: listed with its price, not yet open to runs.

This tool is listed but not yet available to run.

Price pending

Pricing

Price pending.

Limits

Runs: In the background
Returns: json
Longest queue wait: 3600s
Run deadline: 1800s
Largest inline input: 1024 KB
Largest input file: 500 MB
Largest output: 4768 MB
Outputs per run: 16

Input

Field	Kind	Default	Description
`url` required	URL or file	—	Audio file URL to transcribe
`extra`	JSON	—	Arbitrary key-value pairs that are attached to the API response for usage in downstream processing
`redact`	JSON	false	Redaction removes sensitive information from your transcripts
`search`	JSON	—	Search for terms or phrases in submitted audio
`topics`	true or false	false	Detect topics throughout a transcript or text
`diarize`	true or false	false	Deprecated: use `diarize_model` instead. Recognize speaker changes. Each word in the transcript will be assigned a speaker number starting at 0.
`intents`	true or false	false	Recognizes speaker intent throughout a transcript or text
`keyterm`	list	—	Key term prompting improves recognition of specialized terminology and brands.
`replace`	JSON	—	Search for terms or phrases in submitted audio and replaces them
`encoding`	one of linear16, flac, mulaw, amr-nb, amr-wb, opus, speex, g729	—	Specify the expected encoding of your submitted audio
`keywords`	JSON	—	Keywords can boost or suppress specialized terminology and brands. `keywords` is not supported with Nova-3 models; use `keyterm` instead.
`language`	one of af, am, ar, as, az, ba, be, bg, bn, bo, br, bs, ca, cs, cy, da, de, el, en, en-AU, en-GB, en-IN, en-NZ, en-US, es, es-419, es-LATAM, et, eu, fa, fi, fo, fr, fr-CA, gl, gu, ha, haw, he, hi, hi-Latn, hr, ht, hu, hy, id, id-ID, is, it, ja, jw, ka, kk, km, kn, ko, la, lb, ln, lo, lt, lv, mg, mi, mk, ml, mn, mr, ms, mt, my, ne, nl, nn, no, oc, pa, pl, ps, pt, pt-BR, pt-PT, ro, ru, sa, sd, si, sk, sl, sn, so, sq, sr, su, sv, sw, ta, te, tg, th, tk, tl, tr, tt, uk, ur, uz, vi, yi, yo, zh, zh-CN, zh-TW	en	The [BCP-47 language tag](https://tools.ietf.org/html/bcp47) that hints at the primary spoken language.
`numerals`	true or false	false	Numerals converts numbers from written format to numerical format
`dictation`	true or false	false	Dictation mode for controlling formatting with dictated speech
`punctuate`	true or false	false	Add punctuation and capitalization to the transcript
`sentiment`	true or false	false	Recognizes the sentiment throughout a transcript or text
`summarize`	JSON	—	Summarize content. For Listen API, supports string version option. For Read API, accepts boolean only.
`utt_split`	number	0.8	Seconds to wait before detecting a pause between words in submitted audio
`paragraphs`	true or false	false	Splits audio into paragraphs to improve transcript readability
`utterances`	true or false	false	Segments speech into meaningful semantic units
`custom_topic`	JSON	—	Custom topics you want the model to detect within your input audio or text if present Submit up to `100`.
`filler_words`	true or false	false	Filler Words can help transcribe interruptions in your audio, like "uh" and "um"
`measurements`	true or false	false	Spoken measurements will be converted to their corresponding abbreviations
`multichannel`	true or false	false	Transcribe each audio channel independently
`smart_format`	true or false	false	Apply formatting to transcript output. When set to true, additional formatting will be applied to transcripts to improve readability
`custom_intent`	JSON	—	Custom intents you want the model to detect within your input audio if present
`diarize_model`	one of latest, v1, v2	—	Select and enable a specific diarization model version.
`detect_entities`	true or false	false	Identifies and extracts key entities from content in submitted audio
`detect_language`	JSON	—	Identifies the dominant language spoken in submitted audio
`profanity_filter`	true or false	false	Profanity Filter looks for recognized profanity and converts it to the nearest recognized non-profane word or removes it from the transcript completely
`custom_topic_mode`	one of extended, strict	extended	Sets how the model will interpret strings submitted to the `custom_topic` param.
`custom_intent_mode`	one of extended, strict	extended	Sets how the model will interpret intents submitted to the `custom_intent` param.

Same request in code

curl https://api.spiral.ai/v1/runs \
  -H "Authorization: Bearer $SPIRAL_API_KEY" \
  -H "Content-Type: application/json" \
  -H "Idempotency-Key: $(uuidgen)" \
  -d '{
    "provider": "deepgram",
    "model": "whisper-medium",
    "input": {
      "url": "<url>"
    }
  }'