customers
All customer stories
Top Voice AI companies are building with Assembly.
resources
Latest Release
Dictation API
The first API built for dictation. Your users speak, and it returns text that is ready to send: filler gone, self-corrections resolved, names spelled right.
resources
Turn raw audio into structured, actionable intelligence. Purpose-built models extract meaning from speech in a single API call.
Features
Output
Code
import assemblyai as aai aai.settings.api_key = "YOUR_API_KEY" audio_file = "https://assembly.ai/wildfires.mp3" config = aai.TranscriptionConfig( speech_models=["universal-3-5-pro", "universal-2"], language_detection=True, speaker_labels=True, ) transcript = aai.Transcriber().transcribe(audio_file, config=config) if transcript.status == aai.TranscriptStatus.error: raise RuntimeError(f"Transcription failed: {transcript.error}") print(transcript.text) for utterance in transcript.utterances: print(f"Speaker {utterance.speaker}: {utterance.text}")
Enable any combination of features with a single request. Mix, match, and scale as your application grows.
Label speakers by name using audio context. Supports custom profiles and multi-speaker conversations.
Detect positive, neutral, or negative sentiment at the sentence level for granular conversation analytics.
Automatically extract the most significant concepts and phrases from every transcript.
Automatically extract the most significant concepts and phrases from every transcript.
Normalize dates, phone numbers, and email addresses to machine-readable formats automatically.
Transcribe in any of 99+ languages in the same API request.
Break long recordings into timestamped sections with auto-generated summaries for each chapter.
Identify names, organizations, locations, dates, and other entities across every transcript.
Classify audio content against the IAB standard taxonomy — ideal for content moderation, routing, and analytics.
Conversion improvement for teams using structured conversation intelligence vs. raw transcripts alone.
Reduction in manual QA review time after automating complaint and sentiment detection workflows.
From audio file to fully structured intelligence — speaker labels, sentiment, entities, summary — in one request.
Models for transcription, summarization, sentiment, entities, and more — all in one API.
Label voices by name or role
Attribute summaries to real people
Flag compliance issues by speaker
Cut hours of manual call review
Detect sentiment at the sentence level
Extract named entities automatically
Pull key phrases that matter most
Classify content by IAB topic
Turn audio into structured data
Break recordings into timestamped chapters
Condense calls into one-paragraph briefs
Format dates, numbers, and contacts
Translate 99+ languages in one API
Run sentiment and entities on multilingual audio
Skip separate translation vendors
Run analysis on multilingual audio in one pass
Put our Voice AI models to the test in our no-code playground.
From Spanish to Korean, deliver accurate Voice AI in the languages your users speak.
