Deliver AI notetakers your users can trust

Provide the reliability and accuracy that makes your product essential. Turn industry-leading speech recognition into your competitive advantage.

The Voice AI that separates good meeting notes from great ones

Your users know the difference. Give them intelligence they can trust.

Built for the complexity of real meetings

Build meeting intelligence that works consistently across real-world conversation scenarios.

  • Achieve 30% fewer transcription errors compared to alternatives while maintaining processing speed
  • Capture business vocabulary, participant names, and specialized terminology with enhanced recognition accuracy
  • Deliver real-time transcription performance with sub-second latency for live meeting applications

Transform transcripts into actionable intelligence

Integrate speech recognition built specifically for meeting intelligence and conversation analysis.

  • Distinguish between speakers reliably in complex audio environments with overlapping speech and background noise
  • Process conversation context to identify discussion topics, sentiment patterns, and key decision points automatically
  • Output structured data with word-level timestamps and confidence scores for precise downstream integration

Scale confidently from prototype to millions of user

Scale your meeting intelligence with speech recognition infrastructure designed for high-volume applications.

  • Support concurrent transcription requests across multiple meeting sessions with consistent response times
  • Maintain enterprise security standards with SOC 2 compliance and zero data retention policies
  • Rely on production-grade service availability with 99.9% uptime commitment and dedicated support

Accuracy where it matters most

Our Voice AI models deliver near-human accuracy even among noisy or challenging audio to capture the crucial details needed for smooth and seamless downstream processes.
The industry’s highest Word Accuracy Rate
AssemblyAI
Universal
Amazon
Transcribe
Deepgram
Nova-2
OpenAI
Whisper Large-v3
93.3%
91.7%
90.8%
89.7%

Meeting intelligence features you can ship with confidence

Modern AI notetakers need more than basic speech-to-text functionality.

Speaker Diarization

Reliably detect multiple speakers and what they’re saying with the highest accuracy in the industry.

Summarization

Turn hours of audio into concise, actionable insights with automatic summarization.

Sentiment Analysis

Capture speaker sentiment accurately for informed business decisions and problem solving.

Word Timings

Get granular timing data to sync conversation analysis and improve task automation.

Topic Detection

Spot trends and ares of importance by identifying key conversation topics.

PII Redaction

Safeguard sensitive information automatically to ensure privacy and compliance.

MODERN TOOLS FOR SUPERIOR INTELLIGENCE

Build expertly, scale effortlessly

Deep dive into the latest insights, trends, and industry breakthroughs for all things conversation intelligence.

Frequently Asked Questions

 What features does AssemblyAI offer for meeting transcription?

AssemblyAI supports meeting transcription with speaker diarization, real-time (sub‑second) and asynchronous STT, automatic summarization, word‑level timestamps and confidence scores, and optional PII redaction. Diarization results are returned in transcript.utterances for easy speaker‑segmented text.

How accurate is AssemblyAI's speech-to-text API for meeting transcription?

AssemblyAI reports industry‑leading meeting transcription accuracy: a 93.32% Word Accuracy Rate and 30% fewer transcription errors than alternatives. It also reduces diarization errors (64% fewer speaker counting mistakes) helping reliably attribute who said what.

Does AssemblyAI support real-time transcription?

Yes. AssemblyAI’s Streaming Speech-to-Text returns results in a few hundred milliseconds, enabling sub-second latency. Core pages specify ~300 ms “immutable transcripts” for voice agents and sub-second real-time performance for live meeting notetaker use cases.

How does AssemblyAI identify and label different speakers?

Enable diarization by setting speaker_labels=true. AssemblyAI segments words into chunks, computes speaker embeddings, and clusters them to assign speaker turns across the file. Output labels are generic (Speaker A/B/C). Typically ~30 seconds of speech per person is needed; brief replies may be merged. Labels aren’t consistent across files by default.

How do I get started with AssemblyAI's API for meeting transcription?

Create an account and get your API key. For recorded meetings, use an SDK to call client.transcripts.transcribe({audio: file/URL}); SDKs poll for completion or use webhooks. For live meetings, upgrade your account and use StreamingClient to connect and stream audio for real-time transcription.

Can AssemblyAI integrate with existing meeting platforms?

Yes. AssemblyAI provides documented integrations with meeting ecosystems like Zoom RTMS and Recall.ai (for Zoom meeting bots), and supports LiveKit for voice agent use cases. For downstream workflows, no‑code options like Zapier and Power Automate let you pipe transcripts into 5,000+ apps.

Unlock the value of voice data

Build what’s next on the platform powering thousands of the industry’s leading of Voice AI apps.