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Top Voice AI companies are building with Assembly.
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Latest Release
Universal 3.5 Pro
Our new flagship speech-to-text model handles real-world audio the way it actually happens. Available for real-time and pre-recorded audio.
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Get clean, customizable transcripts in 99 languages with industry-leading accuracy and natural language prompting.
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Universal models top published benchmarks on noisy environments, accents, and technical vocabulary. Pick the model that fits your workload.
The most accurate, controllable model on the market.
High-accuracy transcription at scale across 99 languages.
One platform pairs the most accurate Voice AI models on the market with everything you need to turn raw audio into the outputs your product ships on a single API request.
Separate every voice in a conversation into a structured, speaker-labeled transcript with timestamps.
Replace “Speaker A” and “Speaker B” with real names or roles, inferred from the conversation itself.
Turn every recording into concise summaries and timestamped chapters, each with a headline and gist.
Classify sentiment as positive, neutral, or negative, sentence by sentence, and per speaker when diarization is on.
Get names, dates, account numbers, and 50+ other entity types back as typed fields with timestamps.
Classify what audio is about against the standard IAB Content Taxonomy categories, at scale.
Detect the dominant language in any audio file and transcribe it across 99 languages, from one API.
Remove personally identifiable information from the transcript, and bleep it from the audio itself, in a single API call.
Detect sensitive content and clean up offensive language automatically, before it ships.
From meeting intelligence to clinical documentation, teams in every one of these use cases build on AssemblyAI to solve their unique voice problems.
Transcribe sales calls, support tickets, and customer interviews. Feed clean transcripts into sentiment analysis and topic detection.
Turn recorded meetings into structured summaries with speaker attribution, action items, and searchable timestamps.
Review recorded calls for regulatory exposure with audit-grade transcripts. Redact PII from text and audio, and flag sensitive content automatically.
Process thousands of call recordings per day with speaker labels, sentiment scores, and key phrase extraction. Automate QA at scale.
Turn clinical interviews and trial recordings into accurate source data for analysis and compliance.
Analyze every sales call for objections, competitor mentions, and deal signals. Turn recorded conversations into pipeline insight and rep coaching.
Build medical documentation workflows on models engineered for patient interactions and clinical environments.
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.
