Product improvements

We've made a series of improvements to our Free Offer:

1. All new and existing users will get $50 in free credits (equivalent to 135 hours of Best transcription, or 417 hours of Nano transcription)
2. All unused free credits will be automatically transferred to a user's account balance after upgrade to pay-as-you-go pricing.
3. Free Offer users will now see a tracker in their dashboard to see how many credits they have remaining
4. Free Offer users will now have access to the usage dashboard, their billing rates, concurrency limit, and billing alerts

Learn more about our Free Offer on our Pricing page, and then check out our Quickstart in our Docs to get started.

We've made improvements to our Speaker Diarization model, especially robustness in distinguishing between speakers with similar voices.

We've fixed an error in which the last word in a transcript was always attributed to the same speaker as the second-to-last word.

We've made improvements to error handling for file uploads that fail. Now if there is an error, such as a file containing no audio, the following 422 error will be returned:

Upload failed, please try again. If you continue to have issues please reach out to support@assemblyai.com

We've made scaling improvements that reduce p90 latency for some non-English languages when using the Best tier

We've made improvements to notifications for auto-refill failures. Now, users will be alerted more rapidly when their automatic payments are unsuccessful.

Last month, we announced support for Claude 3 in LeMUR. Today, we are adding support for two new endpoints - Question & Answer and Summary (in addition to the pre-existing Task endpoint) - for these newest models:

• Claude 3 Opus
• Claude 3.5 Sonnet
• Claude 3 Sonnet
• Claude 3 Haiku

Here's how you can use Claude 3.5 Sonnet to summarize a virtual meeting with LeMUR:

import assemblyai as aai

aai.settings.api_key = "YOUR-KEY-HERE"

audio_url = "https://storage.googleapis.com/aai-web-samples/meeting.mp4"
transcript = aai.Transcriber().transcribe(audio_url)

result = transcript.lemur.summarize(
    final_model=aai.LemurModel.claude3_5_sonnet,
    context="A GitLab meeting to discuss logistics",
    answer_format="TLDR"
)

print(result.response)

Learn more about these specialized endpoints and how to use them in our Docs.

We've launched our Zapier integration v2.0, which makes it easy to use our API in a no-code way. The enhanced app is more flexible, supports more Speech AI features, and integrates more closely into the Zap editor.

The Transcribe event (formerly Get Transcript) now supports all of the options available in our transcript API, making all of our Speech Recognition and Audio Intelligence features available to Zapier users, including asynchronous transcription. In addition, we've added 5 new events to the AssemblyAI app for Zapier:

• Get Transcript: Retrieve a transcript that you have previously created.
• Get Transcript Subtitles: Generate STT or VTT subtitles for the transcript.
• Get Transcript Paragraphs: Retrieve the transcript segmented into paragraphs.
• Get Transcript Sentences: Retrieve the transcript segmented into sentences.
• Get Transcript Redacted Audio Result: Retrieve the result of the PII audio redaction model. The result contains the status and the URL to the redacted audio file.

Read more about how to use the new app in our Docs, or check out our tutorial to see how you can generate subtitles with Zapier and AssemblyAI.