Start now for free
CHANGELOG

Product improvements

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

Follow us on Twitter Subscribe to Updates

Powering incredible companies

1

Speaker Labels bugfix

Reduced edge case errors with the Speaker Labels feature that could sometimes occur when the final utterance was a single word.

1

Multiple API Keys & Projects

We’ve introduced Multiple API Keys and Projects for AssemblyAI accounts. You can now create separate projects for development, staging, and production, making it easier to manage different environments. Within each project, you can set up multiple API keys and track detailed usage and spending metrics. All billing remains centralized while ensuring a clear separation between projects for better organization and control.

Easily manage different environments and streamline your workflow. Visit your dashboard to get started! 🚀

1

Update to List Endpoint

We’ve bifurcated our list endpoint into two separate endpoints - one for data processed on EU servers and one for data processed on US servers. Previously, the list endpoint returned transcripts from both regions. 

The US list endpoint is https://api.assemblyai.com/v2/transcript

The EU list endpoint is https://api.eu.assemblyai.com/v2/transcript 

When using these endpoints, transcripts are sorted from newest to oldest and can be retrieved for the last 90 days of usage. If you need to retrieve transcripts from more than 90 days ago please reach out to our Support team at support@assemblyai.com.

1

Universal improvements

Last week we delivered improvements to our October 2024 Universal release across latency, accuracy, and language coverage.

Universal demonstrates the lowest standard error rate when compared to leading models on the market for English, German, and Spanish:

Average word error rate (WER) across languages for several providers. WER is a canonical metric in speech-to-text that measures typical accuracy (lower is better). Descriptions of our evaluation sets can be found in our October release blog post.

Additionally, these improvements to accuracy are accompanied by significant increases in processing speed. Our latest Universal release achieves a 27.4% speedup in inference time for the vast majority of files (at the 95th percentile), enabling faster transcription at scale.

Additionally, these changes build on Universal's already best-in-class English performance to bring significant upgrades to last-mile challenges, meaning that Universal faithfully captures the fine details that make transcripts useable, like proper nouns, alphanumerics, and formatting.

Comparative error rates across speech recognition models, with lower values indicating better performance. Descriptions of our evaluation sets can be found in our October release blog post.

You can read our launch blog to learn more about these Universal updates.

1

Ukrainian support for Speaker Diarization

Our Speaker Diarization service now supports Ukrainian speech. This update enables automatic speaker labeling for Ukrainian audio files, making transcripts more readable and powering downstream features in multi-speaker contexts.

Here's how you can get started obtaining Ukrainian speaker labels using our Python SDK:

import assemblyai as aai

aai.settings.api_key = "<YOUR_API_KEY>"
audio_file = "/path/to/your/file"

config = aai.TranscriptionConfig(
  speaker_labels=True,
  language_code="uk"
)

transcript = aai.Transcriber().transcribe(audio_file, config)

for utterance in transcript.utterances:
  print(f"Speaker {utterance.speaker}: {utterance.text}")

Check out our Docs for more information.