For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.

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Models & features

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Models & features

Profanity Filtering

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Speech Threshold

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Playground Changelog Sign In

Models & features

Profanity Filtering

Streaming profanity filtering

For real-time profanity filtering on streaming transcripts, see Filter profanity.

Supported languages

Global Englishen

Australian Englishen_au

British Englishen_uk

US Englishen_us

Spanishes

Frenchfr

Germande

Italianit

Portuguesept

Dutchnl

Hindihi

Japaneseja

Supported models

Universal-3 Prouniversal-3-pro

Universal-2universal-2

Supported regions

US & EU

You can automatically filter out profanity from the transcripts by setting filter_profanity to true in your transcription config.

Any profanity in the returned text will be replaced with asterisks.

1 import assemblyai as aai
2 
3 aai.settings.api_key = "<YOUR_API_KEY>"
4 
5 # audio_file = "./local_file.mp3"
6 audio_file = "https://assembly.ai/wildfires.mp3"
7 
8 config = aai.TranscriptionConfig(
9     speech_models=["universal-3-pro", "universal-2"],
10     language_detection=True,
11     filter_profanity=True
12 )
13 
14 transcript = aai.Transcriber(config=config).transcribe(audio_file)
15 
16 if transcript.status == "error":
17   raise RuntimeError(f"Transcription failed: {transcript.error}")
18 
19 print(transcript.text)

Profanity filter isn’t perfect. Certain words may still be missed or improperly filtered.

Was this page helpful?

Speech Threshold

Built with

Streaming profanity filtering

For real-time profanity filtering on streaming transcripts, see Filter profanity.

Supported languages

Global Englishen

Australian Englishen_au

British Englishen_uk

US Englishen_us

Spanishes

Frenchfr

Germande

Italianit

Portuguesept

Dutchnl

Hindihi

Japaneseja

Supported models

Universal-3 Prouniversal-3-pro

Universal-2universal-2

Supported regions

US & EU

You can automatically filter out profanity from the transcripts by setting filter_profanity to true in your transcription config.

Any profanity in the returned text will be replaced with asterisks.

1 import assemblyai as aai
2 
3 aai.settings.api_key = "<YOUR_API_KEY>"
4 
5 # audio_file = "./local_file.mp3"
6 audio_file = "https://assembly.ai/wildfires.mp3"
7 
8 config = aai.TranscriptionConfig(
9     speech_models=["universal-3-pro", "universal-2"],
10     language_detection=True,
11     filter_profanity=True
12 )
13 
14 transcript = aai.Transcriber(config=config).transcribe(audio_file)
15 
16 if transcript.status == "error":
17   raise RuntimeError(f"Transcription failed: {transcript.error}")
18 
19 print(transcript.text)

Profanity filter isn’t perfect. Certain words may still be missed or improperly filtered.

1	import assemblyai as aai
2
3	aai.settings.api_key = "<YOUR_API_KEY>"
4
5	# audio_file = "./local_file.mp3"
6	audio_file = "https://assembly.ai/wildfires.mp3"
7
8	config = aai.TranscriptionConfig(
9	speech_models=["universal-3-pro", "universal-2"],
10	language_detection=True,
11	filter_profanity=True
12	)
13
14	transcript = aai.Transcriber(config=config).transcribe(audio_file)
15
16	if transcript.status == "error":
17	raise RuntimeError(f"Transcription failed: {transcript.error}")
18
19	print(transcript.text)