# Google's Gemini 3.5 Transcribe Expands Global AI Transcription Capabilities

> Gemini 3.5 Transcribe offers businesses a powerful solution for audio transcription, featuring real-time capabilities and support for over 85 languages. Discover how this tool can enhance your communication strategies.

**Source**: vercel.com | **Published**: 2026-10-31 | **Type**: article

## Key Facts

- Google’s Gemini 3.5 Transcribe supports 85+ languages, enhancing global market reach and inclusivity.
- Streaming transcription via WebSocket offers real-time capabilities, boosting competitive edge in AI services.
- Custom vocabulary feature addresses niche markets, revealing potential for tailored industry solutions.
- Integration with AI SDK 7 indicates strategic shift towards developer-friendly tools, enhancing user adoption.
- Live transcription capabilities may disrupt traditional transcription services, impacting revenue models.

## Summary

Google has launched Gemini 3.5 Transcribe on its AI Gateway, enhancing its capabilities for both recorded and live audio transcription. This development is significant as it positions Google to compete more aggressively in the rapidly evolving field of AI-driven transcription services, which are increasingly essential for businesses seeking to streamline communication and improve accessibility.

The Gemini 3.5 Transcribe service offers two distinct models: one for complete audio files and another for live audio streaming. The complete transcription model processes an entire audio file in a single request, while the live model utilizes WebSocket technology to transcribe audio in real time, providing text output as the audio is received. This dual offering allows businesses to choose the solution that best fits their operational needs, whether for meetings, lectures, or other audio content.

A key feature of Gemini 3.5 is its ability to automatically detect over 85 languages, including the capability to recognize when speakers switch languages. This is particularly advantageous for multinational organizations or events with diverse participants, as it enhances the accuracy and usability of transcriptions. Additionally, users can provide custom vocabulary to improve the transcription of specific names, technical terms, and uncommon spellings, further increasing the model's effectiveness in specialized contexts.

The integration of this technology into the AI SDK 7 allows developers to easily implement streaming transcription in their applications. By using simple code snippets, businesses can leverage the power of Gemini 3.5 Transcribe to enhance their existing workflows. This ease of integration is likely to accelerate adoption among companies looking to harness AI for improved productivity and communication efficiency.

The competitive landscape for transcription services is intensifying, with companies like Microsoft and Otter.ai also offering advanced solutions. Microsoft, for instance, has integrated transcription features into its Teams platform, while Otter.ai focuses on real-time collaboration and note-taking. Google’s entry with Gemini 3.5 Transcribe signals its intent to capture market share in this space, emphasizing the importance of transcription technology in facilitating effective communication.

As organizations increasingly rely on remote work and virtual meetings, the demand for reliable transcription services is expected to grow. Gemini 3.5 Transcribe not only meets this demand but also sets a new standard for accuracy and functionality. Businesses that adopt this technology can expect to see enhanced operational efficiency, improved accessibility for team members with hearing impairments, and a more streamlined approach to documentation.

Looking ahead, the introduction of Gemini 3.5 Transcribe may catalyze further innovations in AI transcription technology. Companies may begin to explore more sophisticated applications, such as integrating transcription services with artificial intelligence tools for sentiment analysis or summarization. As the market evolves, organizations that proactively adopt and adapt to these advanced capabilities will likely gain a competitive edge, positioning themselves at the forefront of digital transformation in communication.

## Entities

- **Companies**: Google
- **Products**: Gemini 3.5 Transcribe, Gemini 3.5 Transcribe Live
- **Technologies**: WebSocket, AI SDK 7

## Key Concepts

audio transcription, live audio transcription, language detection, custom vocabulary, speaker identification, word-level timestamps, streaming transcription, AI Gateway

## Definitions

- **Gemini 3.5 Transcribe**: A transcription model from Google that transcribes complete audio files in one request.
- **Gemini 3.5 Transcribe Live**: A model that transcribes audio in real-time over a WebSocket connection.
- **WebSocket**: A communication protocol that provides full-duplex communication channels over a single TCP connection.
- **AI SDK 7**: The latest software development kit that includes tools for implementing AI functionalities, including transcription.
- **custom vocabulary**: A feature that allows users to provide specific terms to improve transcription accuracy.

## Use Cases

- Transcribing recorded audio files
- Transcribing live audio streams
- Identifying speakers in audio recordings
- Providing real-time transcription updates
- Improving transcription accuracy with custom vocabulary
- Receiving word-level timestamps in transcripts

## Frequently Asked Questions

**What is Gemini 3.5 Transcribe?**

Gemini 3.5 Transcribe is a transcription model developed by Google that allows users to transcribe complete audio files in a single request. It supports over 85 languages and can identify speakers.

**How does live transcription work?**

Live transcription is facilitated by the Gemini 3.5 Transcribe Live model, which uses WebSocket to transcribe audio in real-time. As audio is captured, text is returned immediately, allowing for dynamic updates.

**What is the benefit of using custom vocabulary?**

Custom vocabulary enhances transcription accuracy by allowing users to input specific names, technical terms, or uncommon spellings. This is particularly useful in specialized fields or when dealing with unique terminology.

**How can I install the AI SDK for transcription?**

To install the AI SDK for transcription, you can use npm by running the command 'npm install ai@latest @ai-sdk/gateway@latest'. This will ensure you have the latest tools for implementing transcription features.

**Can I try the transcription models before implementing them?**

Yes, you can try the Gemini 3.5 Transcribe Live model in the model playground. This allows you to explore various transcription models and see how they perform before integrating them into your applications.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/googles-gemini-35-transcribe-expands-global-ai-transcription-capabilities)
- [Original source](https://vercel.com/changelog/gemini-3-5-transcribe-now-available-on-ai-gateway)
- [Vercel](https://welcome.ai/company/vercel): Featured company

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Source: Welcome.AI | https://welcome.ai/content/googles-gemini-35-transcribe-expands-global-ai-transcription-capabilities