Start now for free

Product improvements

Check out the AssemblyAI changelog to see weekly accuracy and product improvements our team has been working on.

Powering incredible companies


New API Reference, Timestamps improvements

We’ve released a new version of the API Reference section of our docs for an improved developer experience. Here’s what’s new:

  1. New API Reference pages with exhaustive endpoint documentation for transcription, LeMUR, and streaming
  2. cURL examples for every endpoint
  3. Interactive Playground: Test our API endpoints with the interactive playground. It includes a form-builder for generating requests and corresponding code examples in cURL, Python, and TypeScript
  4. Always up to date: The new API Reference is autogenerated based on our Open-Source OpenAPI and AsyncAPI specs

We’ve made improvements to Universal-1’s timestamps for both the Best and Nano tiers, yielding improved timestamp accuracy and a reduced incidence of overlapping timestamps.

We’ve fixed an issue in which users could receive an `Unable to create transcription. Developers have been alerted` error that would be surfaced when using long files with Sentiment Analysis.


New codec support; account deletion support

We’ve upgraded our transcoding library and now support the following new codecs:

  • HEVC, VP9, AV1 codec in enhanced flv format

Users can now delete their accounts by selecting the Delete account option on the Account page of their AssemblyAI Dashboards.

Users will now receive a 400 error when using an invalid tier and language code combination, with an error message such as The selected language_code is supported by the following speech_models: best, conformer-2. See

We’ve fixed an issue in which nested JSON responses from LeMUR would cause Invalid LLM response, unable to fulfill request. Please try again. errors.

We’ve fixed a bug in which very long files would sometimes fail to transcribe, leading to timeout errors.


AssemblyAI app for

Make (formerly Integromat) is a no-code automation platform that makes it easy to build tasks and workflows that synthesize many different services.

We’ve released the AssemblyAI app for Make that allows Make users to incorporate AssemblyAI into their workflows, or scenarios. In other words, in Make you can now use our AI models to

  1. Transcribe audio data with speech recognition models
  2. Analyze audio data with audio intelligence models
  3. Build generative features on top of audio data with LLMs

For example, in our tutorial on Redacting PII with Make, we demonstrate how to build a Make scenario that automatically creates a redacted audio file and redacted transcription for any audio file uploaded to a Google Drive folder.


GDPR and PCI DSS compliance

AssemblyAI is now officially PCI Compliant. The Payment Card Industry Data Security Standard Requirements and Security Assessment Procedures (PCI DSS) certification is a rigorous assessment that ensures card holder data is being properly and securely handled and stored. You can read more about PCI DSS here.

Additionally, organizations which have signed an NDA can go to our Trust Portal in order to view our PCI attestation of compliance, as well as other security-related documents.

AssemblyAI is also GDPR Compliant. The General Data Protection Regulation (GDPR) is regulation regarding privacy and security for the European Union that applies to businesses that serve customers within the EU. You can read more about GDPR here.

Additionally, organizations which have signed an NDA can go to our Trust Portal in order to view our GDPR assessment on compliance, as well as other security-related documents.


Self-serve invoices; dual-channel improvement

Users of our API can now view and download their self-serve invoices in their dashboards under Billing > Your invoices.

We’ve made readability improvements to the formatting of utterances for dual-channel transcription by combining sequential utterances from the same channel.

We’ve added a patch to improve stability in turnaround times for our async transcription and LeMUR services.

We’ve fixed an issue in which timestamp accuracy would be degraded in certain edge cases when using our async transcription service.