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  "audio_url": "https://assembly.ai/wildfires.mp3",
  "text": "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning. What is it about the conditions right now that have caused this round of wildfires to affect so many people so far away? Well, there's a couple of things. The season has been pretty dry already. And then the fact that we're getting hit in the US. Is because there's a couple of weather systems that are essentially channeling the smoke from those Canadian wildfires through Pennsylvania into the Mid Atlantic and the Northeast and kind of just dropping the smoke there. So what is it in this haze that makes it harmful? And I'm assuming it is harmful. It is. The levels outside right now in Baltimore are considered unhealthy. And most of that is due to what's called particulate matter, which are tiny particles, microscopic smaller than the width of your hair that can get into your lungs and impact your respiratory system, your cardiovascular system, and even your neurological your brain. What makes this particularly harmful? Is it the volume of particulant? Is it something in particular? What is it exactly? Can you just drill down on that a little bit more? Yeah. So the concentration of particulate matter I was looking at some of the monitors that we have was reaching levels of what are, in science, big 150 micrograms per meter cubed, which is more than ten times what the annual average should be and about four times higher than what you're supposed to have on a 24 hours average. And so the concentrations of these particles in the air are just much, much higher than we typically see. And exposure to those high levels can lead to a host of health problems. And who is most vulnerable? I noticed that in New York City, for example, they're canceling outdoor activities. And so here it is in the early days of summer, and they have to keep all the kids inside. So who tends to be vulnerable in a situation like this? It's the youngest. So children, obviously, whose bodies are still developing. The elderly, who are their bodies are more in decline and they're more susceptible to the health impacts of breathing, the poor air quality. And then people who have preexisting health conditions, people with respiratory conditions or heart conditions can be triggered by high levels of air pollution. Could this get worse? That's a good question. In some areas, it's much worse than others. And it just depends on kind of where the smoke is concentrated. I think New York has some of the higher concentrations right now, but that's going to change as that air moves away from the New York area. But over the course of the next few days, we will see different areas being hit at different times with the highest concentrations. I was going to ask you about more fires start burning. I don't expect the concentrations to go up too much higher. I was going to ask you how and you started to answer this, but how much longer could this last? Or forgive me if I'm asking you to speculate, but what do you think? Well, I think the fires are going to burn for a little bit longer, but the key for us in the US. Is the weather system changing. And so right now, it's kind of the weather systems that are pulling that air into our mid Atlantic and Northeast region. As those weather systems change and shift, we'll see that smoke going elsewhere and not impact us in this region as much. And so I think that's going to be the defining factor. And I think the next couple of days we're going to see a shift in that weather pattern and start to push the smoke away from where we are. And finally, with the impacts of climate change, we are seeing more wildfires. Will we be seeing more of these kinds of wide ranging air quality consequences or circumstances? I mean, that is one of the predictions for climate change. Looking into the future, the fire season is starting earlier and lasting longer, and we're seeing more frequent fires. So, yeah, this is probably something that we'll be seeing more frequently. This tends to be much more of an issue in the Western US. So the eastern US. Getting hit right now is a little bit new. But yeah, I think with climate change moving forward, this is something that is going to happen more frequently. That's Peter De Carlo, associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University. Sergeant Carlo, thanks so much for joining us and sharing this expertise with us. Thank you for having me.",
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  "redact_pii_audio": true,
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  "redact_pii_policies": [
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Documentation Index

Fetch the complete documentation index at: https://assemblyai.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Path Parameters

​
transcript_id
string
required

ID of the transcript

Response

The deleted transcript response

A transcript object

​
audio_url
string<url>
required

The URL of the media that was transcribed

​
auto_highlights
boolean
required

Whether Key Phrases is enabled, either true or false

​
id
string<uuid>
required

The unique identifier of your transcript

​
language_confidence
number<double> | null
required

The confidence score for the detected language, between 0.0 (low confidence) and 1.0 (high confidence). See Automatic Language Detection for more details.

Required range: 0 <= x <= 1
​
language_confidence_threshold
number<float> | null
required

The confidence threshold for the automatically detected language. An error will be returned if the language confidence is below this threshold. See Automatic Language Detection for more details.

Required range: 0 <= x <= 1
​
redact_pii
boolean
required

Whether PII Redaction is enabled, either true or false

​
status
enum<string>
required

The status of your transcript. Possible values are queued, processing, completed, or error.

Available options:
queued,
processing,
completed,
error
​
summarization
boolean
required
deprecated

Whether Summarization is enabled, either true or false. Deprecated - use LLM Gateway instead for more flexible summaries. See the updated Summarization page for details.

Note: This parameter is only supported for the Universal-2 model.

​
webhook_auth
boolean
required

Whether webhook authentication details were provided

​
acoustic_model
string
required
deprecated

This parameter does not currently have any functionality attached to it.

​
language_model
string
required
deprecated

This parameter does not currently have any functionality attached to it.

​
speech_model
string | null
required
deprecated

This parameter has been replaced with the speech_models parameter, learn more about the speech_models parameter here.

​
audio_channels
integer

The number of audio channels in the audio file. This is only present when multichannel is enabled.

​
audio_duration
integer | null

The duration of this transcript object's media file, in seconds

​
audio_end_at
integer | null

The point in time, in milliseconds, in the file at which the transcription was terminated. See Set the start and end of the transcript for more details.

​
audio_start_from
integer | null

The point in time, in milliseconds, in the file at which the transcription was started. See Set the start and end of the transcript for more details.

​
auto_chapters
boolean | null
deprecated

Whether Auto Chapters is enabled, can be true or false. Deprecated - use LLM Gateway instead for more flexible chapter summaries. See the updated Auto Chapters page for details.

Note: This parameter is only supported for the Universal-2 model.

​
auto_highlights_result
object

An array of results for the Key Phrases model, if it is enabled. See Key Phrases for more information.

Example:
{
  "status": "success",
  "results": [
    {
      "count": 1,
      "rank": 0.08,
      "text": "air quality alerts",
      "timestamps": [{ "start": 3978, "end": 5114 }]
    },
    {
      "count": 1,
      "rank": 0.08,
      "text": "wide ranging air quality consequences",
      "timestamps": [{ "start": 235388, "end": 238694 }]
    },
    {
      "count": 1,
      "rank": 0.07,
      "text": "more wildfires",
      "timestamps": [{ "start": 230972, "end": 232354 }]
    },
    {
      "count": 1,
      "rank": 0.07,
      "text": "air pollution",
      "timestamps": [{ "start": 156004, "end": 156910 }]
    },
    {
      "count": 3,
      "rank": 0.07,
      "text": "weather systems",
      "timestamps": [
        { "start": 47344, "end": 47958 },
        { "start": 205268, "end": 205818 },
        { "start": 211588, "end": 213434 }
      ]
    },
    {
      "count": 2,
      "rank": 0.06,
      "text": "high levels",
      "timestamps": [
        { "start": 121128, "end": 121646 },
        { "start": 155412, "end": 155866 }
      ]
    },
    {
      "count": 1,
      "rank": 0.06,
      "text": "health conditions",
      "timestamps": [{ "start": 152138, "end": 152666 }]
    },
    {
      "count": 2,
      "rank": 0.06,
      "text": "Peter de Carlo",
      "timestamps": [
        { "start": 18948, "end": 19930 },
        { "start": 268298, "end": 269194 }
      ]
    },
    {
      "count": 1,
      "rank": 0.06,
      "text": "New York City",
      "timestamps": [{ "start": 125768, "end": 126274 }]
    },
    {
      "count": 1,
      "rank": 0.05,
      "text": "respiratory conditions",
      "timestamps": [{ "start": 152964, "end": 153786 }]
    },
    {
      "count": 3,
      "rank": 0.05,
      "text": "New York",
      "timestamps": [
        { "start": 125768, "end": 126034 },
        { "start": 171448, "end": 171938 },
        { "start": 176008, "end": 176322 }
      ]
    },
    {
      "count": 3,
      "rank": 0.05,
      "text": "climate change",
      "timestamps": [
        { "start": 229548, "end": 230230 },
        { "start": 244576, "end": 245162 },
        { "start": 263348, "end": 263950 }
      ]
    },
    {
      "count": 1,
      "rank": 0.05,
      "text": "Johns Hopkins University Varsity",
      "timestamps": [{ "start": 23972, "end": 25490 }]
    },
    {
      "count": 1,
      "rank": 0.05,
      "text": "heart conditions",
      "timestamps": [{ "start": 153988, "end": 154506 }]
    },
    {
      "count": 1,
      "rank": 0.05,
      "text": "air quality warnings",
      "timestamps": [{ "start": 12308, "end": 13434 }]
    }
  ]
}
​
chapters
object[] | null

An array of temporally sequential chapters for the audio file. See Auto Chapters for more information.

​
confidence
number<double> | null

The confidence score for the transcript, between 0.0 (low confidence) and 1.0 (high confidence)

Required range: 0 <= x <= 1
​
content_safety
boolean | null

Whether Content Moderation is enabled, can be true or false

​
content_safety_labels
object

An array of results for the Content Moderation model, if it is enabled. See Content moderation for more information.

Example:
{
  "status": "success",
  "results": [
    {
      "text": "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
      "labels": [
        {
          "label": "disasters",
          "confidence": 0.8142836093902588,
          "severity": 0.4093044400215149
        }
      ],
      "sentences_idx_start": 0,
      "sentences_idx_end": 5,
      "timestamp": { "start": 250, "end": 28840 }
    }
  ],
  "summary": {
    "disasters": 0.9940800441842205,
    "health_issues": 0.9216489289040967
  },
  "severity_score_summary": {
    "disasters": {
      "low": 0.5733263024656846,
      "medium": 0.42667369753431533,
      "high": 0
    },
    "health_issues": {
      "low": 0.22863814977924785,
      "medium": 0.45014154926938227,
      "high": 0.32122030095136983
    }
  }
}
​
custom_spelling
object[] | null

Customize how words are spelled and formatted using to and from values. See Custom Spelling for more details.

​
disfluencies
boolean | null

Transcribe Filler Words, like "umm", in your media file; can be true or false. Supported on Universal-3 Pro and Universal-2.

​
domain
string | null

The domain-specific model applied to the transcript. When set to "medical-v1", Medical Mode was used to improve accuracy for medical terminology.

​
entities
object[] | null

An array of results for the Entity Detection model, if it is enabled. See Entity detection for more information.

​
entity_detection
boolean | null

Whether Entity Detection is enabled, can be true or false

​
error
string

Error message of why the transcript failed

​
filter_profanity
boolean | null

Whether Profanity Filtering is enabled, either true or false

​
format_text
boolean | null

Whether Text Formatting is enabled, either true or false

​
iab_categories
boolean | null

Whether Topic Detection is enabled, can be true or false

​
iab_categories_result
object

The result of the Topic Detection model, if it is enabled. See Topic Detection for more information.

Example:
{
  "status": "success",
  "results": [
    {
      "text": "Smoke from hundreds of wildfires in Canada is triggering air quality alerts throughout the US. Skylines from Maine to Maryland to Minnesota are gray and smoggy. And in some places, the air quality warnings include the warning to stay inside. We wanted to better understand what's happening here and why, so we called Peter de Carlo, an associate professor in the Department of Environmental Health and Engineering at Johns Hopkins University Varsity. Good morning, professor. Good morning.",
      "labels": [
        {
          "relevance": 0.988274097442627,
          "label": "Home&Garden>IndoorEnvironmentalQuality"
        },
        {
          "relevance": 0.5821335911750793,
          "label": "NewsAndPolitics>Weather"
        },
        {
          "relevance": 0.0042327106930315495,
          "label": "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth"
        },
        {
          "relevance": 0.0033971222583204508,
          "label": "NewsAndPolitics>Disasters"
        },
        {
          "relevance": 0.002469958271831274,
          "label": "BusinessAndFinance>Business>GreenSolutions"
        },
        {
          "relevance": 0.0014376690378412604,
          "label": "MedicalHealth>DiseasesAndConditions>Cancer"
        },
        {
          "relevance": 0.0014294233405962586,
          "label": "Science>Environment"
        },
        {
          "relevance": 0.001234519761055708,
          "label": "Travel>TravelLocations>PolarTravel"
        },
        {
          "relevance": 0.0010231725173071027,
          "label": "MedicalHealth>DiseasesAndConditions>ColdAndFlu"
        },
        {
          "relevance": 0.0007445293595083058,
          "label": "BusinessAndFinance>Industries>PowerAndEnergyIndustry"
        }
      ],
      "timestamp": { "start": 250, "end": 28840 }
    }
  ],
  "summary": {
    "NewsAndPolitics>Weather": 1,
    "Home&Garden>IndoorEnvironmentalQuality": 0.9043831825256348,
    "Science>Environment": 0.16117265820503235,
    "BusinessAndFinance>Industries>EnvironmentalServicesIndustry": 0.14393523335456848,
    "MedicalHealth>DiseasesAndConditions>LungAndRespiratoryHealth": 0.11401086300611496,
    "BusinessAndFinance>Business>GreenSolutions": 0.06348437070846558,
    "NewsAndPolitics>Disasters": 0.05041387677192688,
    "Travel>TravelLocations>PolarTravel": 0.01308488193899393,
    "HealthyLiving": 0.008222488686442375,
    "MedicalHealth>DiseasesAndConditions>ColdAndFlu": 0.0022315620444715023,
    "MedicalHealth>DiseasesAndConditions>HeartAndCardiovascularDiseases": 0.00213034451007843,
    "HealthyLiving>Wellness>SmokingCessation": 0.001540527562610805,
    "MedicalHealth>DiseasesAndConditions>Injuries": 0.0013950627762824297,
    "BusinessAndFinance>Industries>PowerAndEnergyIndustry": 0.0012570273829624057,
    "MedicalHealth>DiseasesAndConditions>Cancer": 0.001097781932912767,
    "MedicalHealth>DiseasesAndConditions>Allergies": 0.0010148967849090695,
    "MedicalHealth>DiseasesAndConditions>MentalHealth": 0.000717321818228811,
    "Style&Fashion>PersonalCare>DeodorantAndAntiperspirant": 0.0006022014422342181,
    "Technology&Computing>Computing>ComputerNetworking": 0.0005461975233629346,
    "MedicalHealth>DiseasesAndConditions>Injuries>FirstAid": 0.0004885646631009877
  }
}
​
keyterms_prompt
string[]

Improve accuracy with up to 200 (for Universal-2) or 1000 (for Universal-3 Pro) domain-specific words or phrases (maximum 6 words per phrase). See Keyterms Prompting for more details.

​
language_code

The language of your audio file. Possible values are found in Supported Languages. The default value is 'en_us'.

Available options:
en,
en_au,
en_uk,
en_us,
es,
fr,
de,
it,
pt,
nl,
af,
sq,
am,
ar,
hy,
as,
az,
ba,
eu,
be,
bn,
bs,
br,
bg,
my,
ca,
zh,
hr,
cs,
da,
et,
fo,
fi,
gl,
ka,
el,
gu,
ht,
ha,
haw,
he,
hi,
hu,
is,
id,
ja,
jw,
kn,
kk,
km,
ko,
lo,
la,
lv,
ln,
lt,
lb,
mk,
mg,
ms,
ml,
mt,
mi,
mr,
mn,
ne,
no,
nn,
oc,
pa,
ps,
fa,
pl,
ro,
ru,
sa,
sr,
sn,
sd,
si,
sk,
sl,
so,
su,
sw,
sv,
tl,
tg,
ta,
tt,
te,
th,
bo,
tr,
tk,
uk,
ur,
uz,
vi,
cy,
yi,
yo
​
language_codes
enum<string>[] | null

The language codes of your audio file. Used for Code switching One of the values specified must be en.

The language of your audio file. Possible values are found in Supported Languages. The default value is 'en_us'.

Available options:
en,
en_au,
en_uk,
en_us,
es,
fr,
de,
it,
pt,
nl,
af,
sq,
am,
ar,
hy,
as,
az,
ba,
eu,
be,
bn,
bs,
br,
bg,
my,
ca,
zh,
hr,
cs,
da,
et,
fo,
fi,
gl,
ka,
el,
gu,
ht,
ha,
haw,
he,
hi,
hu,
is,
id,
ja,
jw,
kn,
kk,
km,
ko,
lo,
la,
lv,
ln,
lt,
lb,
mk,
mg,
ms,
ml,
mt,
mi,
mr,
mn,
ne,
no,
nn,
oc,
pa,
ps,
fa,
pl,
ro,
ru,
sa,
sr,
sn,
sd,
si,
sk,
sl,
so,
su,
sw,
sv,
tl,
tg,
ta,
tt,
te,
th,
bo,
tr,
tk,
uk,
ur,
uz,
vi,
cy,
yi,
yo
​
language_detection
boolean | null

Whether Automatic language detection is enabled, either true or false

​
language_detection_options
object

Specify options for Automatic Language Detection.

​
multichannel
boolean | null

Whether Multichannel transcription was enabled in the transcription request, either true or false

​
prompt
string

Provide natural language prompting of up to 1,500 words of contextual information to the model. See the Prompting Guide for best practices.

Note: This parameter is only supported for the Universal-3 Pro model.

​
punctuate
boolean | null

Whether Automatic Punctuation is enabled, either true or false

​
redact_pii_audio
boolean | null

Whether a redacted version of the audio file was generated, either true or false. See PII redaction for more information.

​
redact_pii_audio_options
object

The options for PII-redacted audio, if redact_pii_audio is enabled. See PII redaction for more information.

​
redact_pii_audio_quality
enum<string> | null

The audio quality of the PII-redacted audio file, if redact_pii_audio is enabled. See PII redaction for more information.

Available options:
mp3,
wav
Example:

"mp3"

​
redact_pii_policies
enum<string>[] | null

The list of PII Redaction policies that were enabled, if PII Redaction is enabled. See PII redaction for more information.

The type of PII to redact

Available options:
account_number,
banking_information,
blood_type,
credit_card_cvv,
credit_card_expiration,
credit_card_number,
date,
date_interval,
date_of_birth,
drivers_license,
drug,
duration,
email_address,
event,
filename,
gender,
gender_sexuality,
healthcare_number,
injury,
ip_address,
language,
location,
location_address,
location_address_street,
location_city,
location_coordinate,
location_country,
location_state,
location_zip,
marital_status,
medical_condition,
medical_process,
money_amount,
nationality,
number_sequence,
occupation,
organization,
organization_medical_facility,
passport_number,
password,
person_age,
person_name,
phone_number,
physical_attribute,
political_affiliation,
religion,
sexuality,
statistics,
time,
url,
us_social_security_number,
username,
vehicle_id,
zodiac_sign
​
redact_pii_sub
enum<string>

The replacement logic for detected PII, can be entity_type or hash. See PII redaction for more details.

Available options:
entity_name,
hash
​
redact_pii_return_unredacted
boolean | null

Whether the original unredacted transcript was also returned alongside the redacted one. When true, the response includes unredacted_text, unredacted_words, and unredacted_utterances. See PII redaction for more information.

​
sentiment_analysis
boolean | null

Whether Sentiment Analysis is enabled, can be true or false

​
sentiment_analysis_results
object[] | null

An array of results for the Sentiment Analysis model, if it is enabled. See Sentiment Analysis for more information.

​
speaker_labels
boolean | null

Whether Speaker diarization is enabled, can be true or false

​
speakers_expected
integer | null

Tell the speaker label model how many speakers it should attempt to identify. See Set number of speakers expected for more details.

​
speech_model_used
string

The speech model that was actually used for the transcription. See Model Selection for available models.

​
speech_models
string[] | null

List of speech models that were used (in priority order) to transcribe the audio. If not specified in the request, this defaults to ["universal-3-pro", "universal-2"]. See Model Selection for available models and routing behavior.

The speech model to use for the transcription. See Model Selection for available models.

​
speech_threshold
number<float> | null

Defaults to null. Reject audio files that contain less than this fraction of speech. Valid values are in the range [0, 1] inclusive. See Speech Threshold for more details.

Required range: 0 <= x <= 1
​
speech_understanding
object

Speech understanding tasks like Translation, Speaker Identification, and Custom Formatting. See the task-specific docs for available options and configuration.

​
summary
string | null
deprecated

The generated summary of the media file, if Summarization is enabled. Deprecated - use LLM Gateway instead for more flexible summaries. See the updated Summarization page for details.

​
summary_model
string | null
deprecated

The Summarization model used to generate the summary, if Summarization is enabled. Deprecated - use LLM Gateway instead for more flexible summaries. See the updated Summarization page for details.

​
summary_type
string | null
deprecated

The type of summary generated, if Summarization is enabled. Deprecated - use LLM Gateway instead for more flexible summaries. See the updated Summarization page for details.

​
remove_audio_tags
enum<string> | null

Universal-3 Pro generates rich transcripts that can include inline annotations such as audio event markers and speaker cues. Set to "all" to remove all inline annotations, or "speaker" to remove only speaker cues while keeping other annotations.

Note: This parameter is only supported for the Universal-3 Pro model.

Available options:
all,
speaker
​
temperature
number | null

The temperature that was used for the model's response. See the Prompting Guide for more details.

Note: This parameter can only be used with the Universal-3 Pro model.

Required range: 0 <= x <= 1
​
text
string | null

The textual transcript of your media file

​
unredacted_text
string | null

The original textual transcript of your media file before PII redaction was applied. Only returned when redact_pii_return_unredacted was set to true on the transcription request, otherwise this field is omitted and the text field remains fully redacted. See PII redaction for more information.

​
throttled
boolean | null

True while a request is throttled and false when a request is no longer throttled

​
utterances
object[] | null

When multichannel or speaker_labels is enabled, a list of turn-by-turn utterance objects. See Speaker diarization and Multichannel transcription for more information.

​
unredacted_utterances
object[] | null

The original turn-by-turn utterance objects before PII redaction was applied. Same shape as utterances. Only returned when redact_pii_return_unredacted was set to true on the transcription request, otherwise this field is omitted and the utterances field remains fully redacted. See PII redaction for more information.

​
webhook_auth_header_name
string | null

The header name to be sent with the transcript completed or failed webhook requests

​
webhook_status_code
integer | null

The status code we received from your server when delivering the transcript completed or failed webhook request, if a webhook URL was provided

​
webhook_url
string<url> | null

The URL to which we send webhook requests.

​
words
object[] | null

An array of temporally-sequential word objects, one for each word in the transcript.

​
unredacted_words
object[] | null

The original temporally-sequential word objects before PII redaction was applied. Same shape as words. Only returned when redact_pii_return_unredacted was set to true on the transcription request, otherwise this field is omitted and the words field remains fully redacted. See PII redaction for more information.

​
custom_topics
boolean | null
deprecated

This parameter does not currently have any functionality attached to it.

​
speed_boost
boolean | null
deprecated

This parameter does not currently have any functionality attached to it.

​
topics
string[]
deprecated

This parameter does not currently have any functionality attached to it.

​
translated_texts
object

Translated text keyed by language code. See Translation for more details.