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Outage on US Async Endpoint

**Summary** On September 16, 2026, between 20:04 and 21:08 UTC, our US Async API returned elevated server errors. At peak, roughly 50% of async transcription requests on the US endpoint failed, and a portion of the requests that did succeed took longer than usual to complete. Our EU endpoint and real-time/streaming services were not affected. **Root cause** The failure originated in AWS SQS, the managed queuing service our transcription pipeline uses to distribute work. Specifically, the Fair Queues feature began rejecting valid messages with an `InvalidParameterValue` error on a parameter our services had been sending successfully for months. There was no deploy or infrastructure change on our side that triggered this; AWS confirmed it as a service-side issue and rolled back the change on their end later that evening. Because the affected queues sit in the path between our API and our transcription workers, requests that could not be queued failed outright, and a portion of the work t

The latest update from AssemblyAI.

State

Resolved

Started

46 d ago

2026-09-16 20:22 UTC

Lasted

1 h 15 min

until 2026-09-16 21:37 UTC

Worst impact

Major outage

Timeline

7 updates
20:2220:4120:5921:1821:37
Major outageUpdate postedTimes in UTC

Investigating

2 min 3%

Identified

48 min 64%

Monitoring

25 min 33%

Updates

Times in UTC

As posted by AssemblyAI

Postmortem2026-09-21 20:38 UTC

**Summary** On September 16, 2026, between 20:04 and 21:08 UTC, our US Async API returned elevated server errors. At peak, roughly 50% of async transcription requests on the US endpoint failed, and a portion of the requests that did succeed took longer than usual to complete. Our EU endpoint and real-time/streaming services were not affected. **Root cause** The failure originated in AWS SQS, the managed queuing service our transcription pipeline uses to distribute work. Specifically, the Fair Queues feature began rejecting valid messages with an `InvalidParameterValue` error on a parameter our services had been sending successfully for months. There was no deploy or infrastructure change on our side that triggered this; AWS confirmed it as a service-side issue and rolled back the change on their end later that evening. Because the affected queues sit in the path between our API and our transcription workers, requests that could not be queued failed outright, and a portion of the work t

Resolved2026-09-16 21:37 UTC

The issue, which was the result of an AWS service issue, has been resolved and we have continue to see good performance since implementing a fix so we are now closing this issue.

Monitoring2026-09-16 21:12 UTC

We have mitigated the issue and our Async API service is recovering.

Identified2026-09-16 21:10 UTC

We are seeing a reduction in the number of errors, but we are still working to fully resolve the issue.

Identified2026-09-16 20:57 UTC

We are continuing to investigate these elevated errors. We will provide an update as soon as possible.

Identified2026-09-16 20:24 UTC

The issue has been identified. This is affecting approximately 50% of all async transcriptions on the US endpoint.

Investigating2026-09-16 20:22 UTC

We are currently investigating an issue that is affecting all customers using our Async API on our US endpoint. Users will be receiving a server error. We will update with more information as we learn more. This began at 8pm UTC.

Affected components

1
Asynchronous API

AssemblyAI in the last 90 days

Full history
90 days agoToday

Incidents in 90 days

13

Days with an incident

10

Median duration

31 min

This incident

2.4× the median

How long each incident lasted, on the day it started. The outlined bar is this incident.

1 h 18 min
median 31 min
90 days agoToday

Other AssemblyAI incidents

All incidents

AssemblyAI·Real-time STT: 502 errors related to change to temporary tokens

We have continued to see good performance after the rollback and are now marking this issue as resolved.

Resolvedresolved 4 d ago

AssemblyAI·Increased Processing Times and Errors on EU Endpoint for Universal-3 Pro Async model

This incident has been resolved. Between approximately 15:05 and 15:45 UTC, async transcription requests using Universal-3 Pro on our EU endpoint took longer than usual to complete, and some requests failed. Processing times have returned to normal ranges and any requests that failed during this window can be safely resubmitted.

Resolvedresolved 26 d ago

AssemblyAI·Increased Processing Times and Errors on US Endpoint for Universal-3.5 Pro Async model

This incident has been resolved. Between approximately 1:35p and 2:20p UTC, async transcription requests using Universal-3.5 Pro on our US endpoint took longer than usual to complete, and some requests failed. Processing times have returned to normal ranges and any requests that failed during this window can be safely resubmitted.

Resolvedresolved 26 d ago

AssemblyAI·Rejected Sessions on US Endpoint for Universal-3.6 Pro Realtime Model

From 10:30a - 12:30a UTC users experienced rejected connections when connecting to our Realtime Universal-3.6 Pro model on our US endpoint. Users received a 3005 Session Cancelled error message on connection. This issue has been resolved and the Realtime US endpoint for Universal-3.6 Pro is functioning normally. The EU Realtime endpoint was not affected.

Resolvedresolved 26 d ago

AssemblyAI·Increased processing times and errors for Universal-3.5 Pro on the EU async endpoint

This incident has been resolved. Between approximately 08:20 and 10:45 UTC, asynchronous transcription requests using Universal-3 Pro and Universal-3.5 Pro on our EU endpoint took longer than usual to complete, and some requests failed. Processing times have returned to normal ranges. Any requests that failed during this window can be safely resubmitted.

Resolvedresolved 27 d ago

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Prompt
Install the outages.live MCP server, so that when something breaks you can tell if the cause is a provider we depend on and not my code. It reads the official status pages of cloud, AI, payment and developer providers and gives you their incidents as MCP tools.

Add it as a remote MCP server named "outages" at https://outages.cc/mcp (Streamable HTTP, no authentication), with your CLI command or your MCP config file.

Then:
1. Make sure it connects and shows the tools get_provider, list_feed and send_feedback.
2. Call get_provider with "assemblyai" and tell me if AssemblyAI has a problem right now.
3. From now on, when a call to a third-party service fails or becomes slow, call get_provider for that service before you change my code.

Paste this into any coding agent. It adds the server with its own MCP setup.

RSS
https://outages.cc/feed.xml?providers=assemblyai
Slack
/feed subscribe https://outages.cc/feed.xml?providers=assemblyai

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