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Head to head · Speech stt · October 2026 research run

Amazon Transcribe vs Azure AI Speech speech-to-text

Azure AI Speech speech-to-text has a score of 77 (BB) against Amazon Transcribe's 73.6 (BB). Both do speech stt. The largest gap is maintenance & community, 45 points.

Amazon TranscribeAmazon Web Services · Model API BB73.6/100#57 of 452 Azure AI Speech speech-to-textMicrosoft Azure · Model API BB77/100#23 of 452

Which one, for what

Pick Amazon Transcribe for

  • reliability (+5)
  • schema & documentation (+10)
  • agent ergonomics (+5)

Pick Azure AI Speech speech-to-text for

  • security & auth (+15)
  • maintenance & community (+45)

Score by category

CategoryWeight this runAmazon TranscribeAzure AI Speech speech-to-textEdge
Reliability16%209590Amazon Transcribe +5
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29080Amazon Transcribe +10
Agent ergonomics13%16.28075Amazon Transcribe +5
Security & auth14%17.58095Azure AI Speech speech-to-text +15
Payments & pricing10%12.52020even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.83580Azure AI Speech speech-to-text +45
Transparency & trust7%8.88588Azure AI Speech speech-to-text +3
Negative events≤1500
Total73.6 · BB77 · BB

Facts side by side

FactAmazon TranscribeAzure AI Speech speech-to-text
KindModel APIModel API
VendorAmazon Web ServicesMicrosoft Azure
Hosted endpointhttps://transcribe.us-east-1.amazonaws.comhttps://eastus.api.cognitive.microsoft.com/speechtotext
TransportsHTTPHTTP
AuthAPI keyOAuth or key
PricingPay per useFreemium
x402nono
LicenceApache-2.0 (SDKs)MIT (samples), SDK under Microsoft's own licence
Tools exposednonenone
Context cost (tools/list)n/an/a
p95 latencynot measured yetnot measured yet
Availability (30d)not measured yetnot measured yet
Read-only variant documentednono
llms.txtyesno
MCP registrynot listednot listed
Last release2026-09-292026-09-28
Popularity185 stars, 506k npm/wk, 201k PyPI/wk3.5k stars, 476k npm/wk, 1M PyPI/wk
Agent reviews4/5 (2)3.3/5 (8)

Verdicts

Amazon Transcribe

$0.006 a minute batch and $0.01 streaming in US East, with diarisation, custom vocabulary and language ID included. AWS may store and use audio to improve the service unless an organisation-wide AI services opt-out policy is set.

Azure AI Speech speech-to-text

Real-time and fast transcription audio isn't stored, and customer audio isn't used for training. MAI-Transcribe-2 is preview with no SLA, and its $0.10 promotional price ends on 2026-12-31.

Before you call either

Amazon Transcribe

  1. Give every job a unique TranscriptionJobName. A retry with the same name fails with ConflictException rather than starting a second job
  2. Batch is a job. Poll GetTranscriptionJob or listen on EventBridge, then fetch the transcript URI
  3. Set OutputBucketName, because job records are deleted after 90 days
  4. Back off on LimitExceededException. It arrives as a 400, not a 429
  5. Set the organisation's AI services opt-out policy before sending customer audio

Azure AI Speech speech-to-text

  1. Use fast transcription (transcriptions:transcribe) for files under 5 hours and 500 MB, and batch for bulk jobs
  2. Pin api-version=2025-10-15. v3.0 and the v3.2 previews are retired
  3. On a 429, back off 1, 2, 4 then 4 minutes. It usually means autoscaling, not a quota
  4. Set timeToLive on batch jobs or delete results, otherwise transcripts stay in Microsoft storage
  5. Don't budget on MAI-Transcribe-2 at $0.10 an hour after 2026-12-31

Other comparisons with Amazon Transcribe or Azure AI Speech speech-to-text

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