Google’s new AI transcription edits out your ‘ums’ and ‘ahs’
Google Introduces Gemini 3.5 Transcribe: AI Audio Editing Gets Smarter
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**Lede**
Google has quietly expanded its Gemini family with a new transcription model that promises to clean up spoken audio in real-time. The update, Gemini 3.5 Transcribe, automatically removes filler words like "um" and "ah" and handles specialized jargon across more than 85 languages. As the company waits to deliver on its Gemini 3.5 Pro promise from June, this new tool signals where Google is directing its immediate AI audio efforts.
**Background**
The new model replaces Google’s earlier Chirp 3 transcription engine. According to Google, Gemini 3.5 Transcribe represents a "major advancement" in two areas: multilingual performance and reducing wording errors. The system doesn’t just convert speech to text; it processes the audio to identify and suppress common speech disfluencies. For professionals who rely on meeting notes, podcast production, or field recordings, this means less time spent cleaning up transcripts after the fact.
Google frames the update as part of a broader push to make AI audio tools more usable in everyday workflows. The "edit naturally with just your voice" capability mentioned in the company’s announcement suggests a shift toward hands-free audio editing, where users can prompt the model to remove specific sections or tighten pacing without re-recording.
**Why It Matters**
For businesses adopting AI, the implications are practical. Transcription accuracy has long been a barrier to automation in multilingual environments. By supporting over 85 languages and targeting jargon, Gemini 3.5 Transcribe lowers the barrier to entry for teams operating across regions or industries with technical terminology.
The removal of filler words also changes the economics of audio processing. Teams that previously had to human-edit hour-long recordings may find the model output sufficient for internal use cases. This could accelerate the adoption of AI-driven meeting assistants, customer service call analysis, and content repurposing workflows.
What’s Next
Google has indicated that Gemini 3.5 Transcribe is now available, though the company has yet to release the much-anticipated Gemini 3.5 Pro model, which was originally slated for a June launch. In the meantime, the Transcribe update serves as a functional stopgap and a signal of Google’s focus on polishing existing capabilities before moving to the next generation of models.
For developers and product teams, the multilingual and jargon-handling improvements may prompt a re-evaluation of how AI fits into global workflows. Expect to see more refinements in audio-to-text pipelines as competitors race to offer similar low-friction editing features.
**Takeaway for Business Owners**
If your team regularly works with recorded meetings, interviews, or customer calls, Gemini 3.5 Transcribe could reduce the time spent on post-production editing. The model’s ability to handle multiple languages and technical terms makes it worth testing for global or technical teams. Keep an eye on Google’s roadmap for Gemini 3.5 Pro, but for now, this update offers a immediate way to clean up audio assets without extra manual labor.
Source: Original Article