Product improvements

Universal-1, our most powerful and accurate multilingual Speech-to-Text model, is now available in German.

No special action is needed to utilize Universal-1 on German audio - all requests sent to our /v2/transcript endpoint with German audio files will now use Universal-1 by default. Learn more about how to integrate Universal-1 into your apps in our Getting Started guides.

Speaker Diarization is now available in five additional languages for both the Best and Nano tiers:

• Chinese
• Hindi
• Japanese 
• Korean 
• Vietnamese

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.

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

• Bonk, APAC, Mi-SC4, 100i, VQC, FTR PHM, WBMP, XMD ADPCM, WADY DPCM, CBD2 DPCM
• 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 https://www.assemblyai.com/docs/concepts/supported-languages..

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.

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.