AssemblyAI API

AssemblyAI transcribes audio files with high accuracy and offers LeMUR — an LLM layer over transcripts — for summarization, Q&A, and structured data extraction in one API call.

Evaluated Mar 06, 2026 (0d ago) vcurrent
Homepage ↗ AI & Machine Learning transcription speech stt audio ai lemur summarization
⚙ Agent Friendliness
63
/ 100
Can an agent use this?
🔒 Security
78
/ 100
Is it safe for agents?
⚡ Reliability
84
/ 100
Does it work consistently?

Score Breakdown

⚙ Agent Friendliness

MCP Quality
--
Documentation
88
Error Messages
85
Auth Simplicity
78
Rate Limits
82

🔒 Security

TLS Enforcement
100
Auth Strength
75
Scope Granularity
60
Dep. Hygiene
80
Secret Handling
75

TLS enforced; however, single flat API key with no scopes is a significant security weakness — a compromised key exposes all transcripts and billing; no IP allowlisting; SOC2 Type II certified; audio files deleted after 24 hours by default

⚡ Reliability

Uptime/SLA
85
Version Stability
85
Breaking Changes
83
Error Recovery
82
AF Security Reliability

Best When

Best when you need transcription plus AI analysis (summaries, Q&A, topic detection) in one API call without orchestrating a separate LLM, especially for async batch audio workflows.

Avoid When

Avoid when you need sub-500ms real-time transcription for voice interfaces, or when strict data residency requirements prohibit sending audio to a US-based third party.

Use Cases

  • Transcribe and summarize sales call recordings in a single async job, then push structured outcomes to CRM without a separate LLM call
  • Extract action items, decisions, and deadlines from meeting audio using LeMUR Q&A to populate task management systems
  • Build podcast search by transcribing episodes with chapters and speaker labels, then indexing the structured output
  • Detect sensitive PII (names, phone numbers, SSNs) in call recordings and auto-redact them before archiving
  • Generate sentiment-tagged transcripts of customer support calls for agent performance dashboards

Not For

  • Real-time low-latency streaming transcription for voice assistants — AssemblyAI's streaming adds more latency than Azure or Google for live interactions
  • Text-to-speech synthesis — AssemblyAI is STT only
  • On-premise or air-gapped deployments — the service is cloud-only with no self-hosted option

Interface

REST API
Yes
GraphQL
No
gRPC
No
MCP Server
No
SDK
Yes
Webhooks
Yes

Authentication

Methods: api_key
OAuth: No Scopes: No

Single API key passed as Authorization header. No scopes or per-resource key segmentation — one key has full account access. Key rotation must be done manually via the dashboard.

Pricing

Model: usage_based
Free tier: Yes
Requires CC: No

No credit card required for free tier credits. Pay-as-you-go after credits. No minimum commitment. Volume discounts available for enterprise.

Agent Metadata

Pagination
cursor
Idempotent
Partial
Retry Guidance
Documented

Known Gotchas

  • Transcription is async-only for files — agents must poll status (or use webhooks) and handle the queued → processing → completed state machine; treating it as synchronous returns empty results
  • Audio URLs must be publicly accessible during the download window (up to a few minutes after submission); pre-signed S3 URLs with short TTLs expire before AssemblyAI downloads them
  • LeMUR token limits apply per request, not per transcript — very long transcripts may require chunking before passing to LeMUR Q&A
  • Webhook payloads include the full transcript object; agents must validate the transcript_id matches the expected job or risk processing stale callbacks out of order
  • No API key scoping means a leaked key has full account access including all historical transcripts — agents should treat the key as a root credential and store it in a secrets manager

Alternatives

Full Evaluation Report

Detailed scoring breakdown, competitive positioning, security analysis, and improvement recommendations for AssemblyAI API.

$99

Scores are editorial opinions as of 2026-03-06.

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