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AI Model APIs🔴Developer
A

AssemblyAI

Production-grade speech-to-text API with Universal-3 Pro model, real-time streaming, and audio intelligence features for voice AI applications.

Starting atFree
Visit AssemblyAI →
💡

In Plain English

Speech-to-text API that converts audio files and real-time streams to text with speaker identification and sentiment analysis.

OverviewFeaturesPricingGetting StartedUse CasesIntegrationsLimitationsFAQSecurityAlternatives

Overview

AssemblyAI provides speech-to-text APIs that actually work in production. Their Universal-3 Pro model charges $0.21 per hour for async transcription and $0.45 for real-time streaming — competitively priced against major cloud providers like Google and AWS. The platform includes $50 in free credits (roughly 235 hours of async transcription), making it accessible for prototyping before committing to production usage. Audio intelligence features like speaker diarization, sentiment analysis, and PII redaction are available as add-ons, and the LeMUR framework enables LLM-powered querying of transcripts directly through the API.

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Using with OpenClaw

▼

Integrate AssemblyAI with OpenClaw through REST APIs for speech-to-text processing in automation workflows

Use Case Example:

Add speech recognition capabilities to OpenClaw agents for voice command processing and audio content analysis

Learn about OpenClaw →
🎨

Vibe Coding Friendly?

▼
Difficulty:beginner
No-Code Friendly ✨

Simple REST API with clear documentation makes it perfect for quick prototyping and vibe coding approaches

Learn about Vibe Coding →

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Editorial Review

AssemblyAI receives strong reviews for transcription accuracy and developer experience, with users particularly praising the comprehensive audio intelligence features and responsive support team. Common criticisms focus on costs at high volume and variable non-English accuracy.

Key Features

Universal-3 Pro Speech Model+

Production-grade speech-to-text model at $0.21/hour async and $0.45/hour real-time, supporting 99+ languages with automatic detection. Consistently ranks in the top tier of the Open ASR Leaderboard for English conversational audio with 5-8% word error rates.

Real-Time Streaming API+

WebSocket-based streaming transcription with sub-300ms end-to-end latency, delivering both partial predictions (real-time guesses) and confident final results. This dual-output architecture is what makes conversational voice agents feel responsive during natural dialogue.

Audio Intelligence Suite+

Bundled speaker diarization, sentiment analysis, PII redaction, entity detection, auto-chapters, and content moderation in a single API call. Speaker diarization identifies who spoke when across multi-person conversations. PII redaction automatically removes sensitive data like SSNs and credit card numbers.

LeMUR Framework+

Natural language querying of transcripts using Claude and other frontier LLMs, accessed through the same API as transcription. Ask 'What action items were discussed?' or 'Summarize the customer's complaints' and receive structured responses without building a separate LLM pipeline.

Enterprise Security & Compliance+

SOC 2 Type II certification, HIPAA compliance with signed BAAs, and EU data residency for GDPR workflows. Configurable retention policies including zero-retention processing where audio and transcripts are deleted immediately after processing completes.

Pricing Plans

Free

$50 in free credits

  • ✓~235 hours of async transcription included
  • ✓Full access to Universal-3 Pro model
  • ✓Audio intelligence features available
  • ✓Real-time streaming API access
  • ✓Community support

Pay As You Go

$0.21/hour async, $0.45/hour streaming

  • ✓Universal-3 Pro speech model
  • ✓Real-time streaming via WebSocket
  • ✓Speaker diarization, sentiment, PII redaction
  • ✓LeMUR LLM framework access
  • ✓99+ language support
  • ✓Standard support

Enterprise

Custom pricing

  • ✓Volume-based committed-use discounts
  • ✓HIPAA compliance with signed BAA
  • ✓EU data residency options
  • ✓Zero-retention processing available
  • ✓Dedicated support and SLAs
  • ✓Custom model fine-tuning
See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with AssemblyAI?

View Pricing Options →

Getting Started with AssemblyAI

  1. 1Sign up at assemblyai.com to get your API key and $50 in free credits.
  2. 2Install the AssemblyAI SDK for your language (Python, Node.js, Java, etc.) or use the REST API directly.
  3. 3Submit your first audio file for async transcription using the /v2/transcript endpoint and poll for results.
  4. 4Enable audio intelligence features like speaker diarization or sentiment analysis by adding parameters to your transcription request.
  5. 5Explore LeMUR to query your transcripts with natural language and integrate real-time streaming via WebSocket for live applications.
Ready to start? Try AssemblyAI →

Best Use Cases

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Voice AI agents and conversational applications requiring sub-300ms real-time transcription latency over WebSocket streaming for natural back-and-forth dialogue

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Customer service call analytics platforms that need speaker diarization, sentiment analysis, and compliance-grade PII redaction on phone recordings with variable audio quality

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Meeting and collaboration transcription products (Otter-style apps) that require speaker identification, action item extraction, and searchable summaries across multi-speaker audio

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Podcast and video content workflows for creators needing accurate transcripts, automatic chapter generation, and LeMUR-powered summaries for show notes and SEO

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Healthcare and finance applications requiring HIPAA-compliant transcription with configurable data retention, zero-retention processing options, and automated PII redaction

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Developer teams building transcript-driven LLM applications who want to skip custom NLP pipeline engineering by querying audio content directly through LeMUR

Integration Ecosystem

10 integrations

AssemblyAI works with these platforms and services:

🧠 LLM Providers
OpenAI
☁️ Cloud Platforms
AWSGCPAzure
💬 Communication
Twiliotelephony
💾 Storage
S3GCS
🔗 Other
Zapierwebhooks
View full Integration Matrix →

Limitations & What It Can't Do

We believe in transparent reviews. Here's what AssemblyAI doesn't handle well:

  • ⚠Costs accumulate quickly at high volume — beyond ~10,000 hours/month, committed-use pricing requires direct sales negotiation
  • ⚠Audio intelligence add-ons (sentiment, entity detection, summarization) each carry incremental per-hour charges on top of base transcription
  • ⚠Non-English and heavily accented speech accuracy lags English materially, particularly for long-tail languages outside the top 10
  • ⚠Real-time streaming at $0.45/hour is more than double the async rate, making always-on voice applications costlier than expected
  • ⚠Enterprise features like HIPAA BAAs, zero-retention processing, and EU data residency require sales-led procurement rather than self-serve activation

Pros & Cons

✓ Pros

  • ✓Universal-3 Pro model delivers competitive pricing at $0.21/hour for async transcription with comparable or better accuracy on conversational audio versus major cloud providers
  • ✓Free tier includes $50 in credits (roughly 235 hours of async transcription), substantially more generous than Google's 60-minute free allowance
  • ✓Real-time streaming API hits sub-300ms latency over WebSocket, suitable for conversational voice agents where response speed is critical
  • ✓LeMUR framework is the only speech API in our directory that natively supports LLM-powered querying of transcripts, eliminating custom NLP pipelines
  • ✓Audio intelligence suite bundles speaker diarization, sentiment analysis, PII redaction, and entity detection in a single API call
  • ✓SOC 2 Type II, HIPAA compliance, and EU data residency available — enterprise-grade controls matching Google and AWS offerings

✗ Cons

  • ✗Per-hour pricing compounds at high volume — 1,000 calls/day averaging 10 minutes costs ~$35/day base plus add-ons, making it expensive beyond a few thousand hours/month
  • ✗Audio intelligence features (sentiment, entity detection, summarization) each add incremental per-hour charges on top of the base $0.21 rate
  • ✗Non-English language quality varies significantly — performance on less common languages and heavy accents lags English materially
  • ✗Real-time streaming at $0.45/hour is more than 2x the async rate, which adds up quickly for voice agents handling high call volumes
  • ✗Enterprise features like custom data retention and dedicated support require sales-led pricing rather than transparent self-serve tiers

Frequently Asked Questions

How accurate is AssemblyAI compared to Google Speech-to-Text and Deepgram?+

AssemblyAI's Universal-3 Pro model typically achieves 5-8% word error rates on conversational English audio, benchmarking competitively with Google's latest models and Deepgram Nova-3. On phone-call audio with background noise, AssemblyAI often edges ahead due to training emphasis on real-world conversational data. Accuracy on non-English languages is more variable and should be tested for your specific use case.

What's the real cost for a voice AI application at scale?+

A typical 10-minute customer service call costs $0.035 in base transcription ($0.21/hour prorated). Adding sentiment analysis, entity detection, and PII redaction pushes that to roughly $0.05 per call. A voice agent handling 500 calls per day would cost approximately $25/day in base transcription plus add-on fees, with volume discounts available through enterprise agreements.

Does AssemblyAI work for non-English languages?+

Universal-3 Pro supports 99+ languages with automatic language detection, but quality varies significantly by language. English, Spanish, French, and German perform at production-grade accuracy with full audio intelligence support. Less common languages may have higher word error rates and should be tested with representative audio samples before committing to production use.

What is LeMUR and how does it differ from just using ChatGPT on a transcript?+

LeMUR (Leveraging Large Language Models to Understand Recognized Speech) is AssemblyAI's framework for querying transcripts with natural language directly through the same API. Instead of transcribing, then separately sending output to an LLM, LeMUR handles both steps in a single API call with optimized context handling for audio-derived text, reducing latency and simplifying your architecture.

Is AssemblyAI HIPAA compliant and suitable for healthcare or finance?+

Yes. AssemblyAI offers HIPAA-compliant processing with signed BAAs for healthcare customers, SOC 2 Type II certification, and EU data residency for GDPR-regulated workflows. Built-in PII redaction automatically removes social security numbers, credit card numbers, and other sensitive data from transcripts. Zero-retention processing is available for maximum data privacy.

🔒 Security & Compliance

🛡️ SOC2 Compliant
✅
SOC2
Yes
✅
GDPR
Yes
✅
HIPAA
Yes
🏢
SSO
Enterprise
❌
Self-Hosted
No
🏢
On-Prem
Enterprise
🏢
RBAC
Enterprise
🏢
Audit Log
Enterprise
✅
API Key Auth
Yes
❌
Open Source
No
✅
Encryption at Rest
Yes
✅
Encryption in Transit
Yes
Data Retention: configurable
Data Residency: US, EU
📋 Privacy Policy →🛡️ Security Page →
🦞

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What's New in 2026

AssemblyAI continues iterating on the Universal-3 Pro model with ongoing accuracy improvements on phone-call audio and expanded language coverage. LeMUR framework has expanded LLM provider support, and the platform has rolled out enhanced enterprise security controls and EU data residency options.

Alternatives to AssemblyAI

Deepgram

AI Model APIs

Advanced speech-to-text and text-to-speech API with industry-leading accuracy, real-time streaming, and support for 30+ languages. Built for developers creating voice applications, call transcription, and conversational AI.

View All Alternatives & Detailed Comparison →

User Reviews

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Quick Info

Category

AI Model APIs

Website

www.assemblyai.com
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