Gemini 3.5 Transcribe Description

Gemini 3.5 Transcribe represents Google’s most advanced speech-to-text technology to date, tailored for sophisticated voice interactions and immediate transcription. Rather than merely translating speech into text, it converts raw audio into polished, precise, and well-structured text, effectively managing background noise, intricate terminology, various accents, dialects, and natural speech rhythms. Its intelligent transcription capabilities automatically account for self-corrections, eliminate filler words like “ums” and “ahs,” and present the final output in an easily readable format. This model offers continuous bidirectional streaming with sub-second response times, making it ideal for interactive voice applications, alongside the ability to process pre-recorded audio for meetings, call logs, and other recordings while ensuring speaker attribution and word-level timestamps. Additionally, its custom vocabulary feature enables the recognition of specialized terms, unique spellings, postal codes, order IDs, and other industry-specific language, enhancing its versatility for various use cases. As a result, Gemini 3.5 Transcribe stands out as a powerful tool for anyone seeking high-quality transcription services.

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Gemini 3.5 Flash is Google’s high-performance multimodal AI model built to deliver frontier-level intelligence, fast execution speeds, and advanced agentic capabilities for coding, automation, and enterprise workflows. As the first release in the Gemini 3.5 series, the model is designed to help developers, businesses, and users execute complex long-horizon tasks through AI-powered reasoning, workflow orchestration, and intelligent automation. Gemini 3.5 Flash combines powerful coding performance, multimodal understanding, and real-time responsiveness while outperforming earlier Gemini models and competing frontier AI systems across several coding and reasoning benchmarks. The model is optimized for agentic workflows, allowing it to plan, execute, and manage multi-step tasks such as software development, infrastructure management, document preparation, and business process automation through the updated Antigravity harness. Gemini 3.5 Flash can also deploy collaborative subagents that work together under supervision to complete demanding workflows more efficiently and at lower operational cost. Beyond coding and automation, the platform generates richer graphics, dynamic web interfaces, interactive animations, and advanced multimodal experiences that support developers and enterprise users building AI-driven applications. Google has integrated Gemini 3.5 Flash across the Gemini app, AI Mode in Google Search, Google AI Studio, Android Studio, Gemini Enterprise Agent Platform, and enterprise AI services to expand access to advanced AI capabilities globally. The model also powers Gemini Spark, Google’s new personal AI agent designed to operate continuously and assist users with digital life management and automated task execution.
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Integrations

API:
Yes, Gemini 3.5 Transcribe has an API
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Reviews - 1 Verified Review

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Company Details

Company:
Google
Year Founded:
1998
Headquarters:
United States
Website:
blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-5-transcribe/

Media

Gemini 3.5 Transcribe Screenshot 1
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Product Details

Platforms
Web-Based
Types of Training
Training Docs
Training Videos
Customer Support
Online Support

Gemini 3.5 Transcribe Features and Options

Gemini 3.5 Transcribe User Reviews

Write a Review
  • Name: Anonymous (Verified)
    Job Title: Developer
    Length of product use: Less than 6 months
    Used How Often?: Daily
    Role: User
    Organization Size: 100 - 499
    Features
    Ease
    Pricing
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Epic STT model

    Date: Aug 26 2026

    Summary: Overall seems awesome for anyone building voice-first or audio-heavy products. The mix of accuracy, low latency, live streaming, and Gemini-native audio understanding makes it feel much more useful than a plain dictation API.

    Positive: It is designed for cleaner, more intelligent transcription, including handling filler words, corrections, language switches, and more natural voice input. For developers, the live model is the biggest draw. Low-latency streaming transcription opens up a lot of useful product ideas: meeting tools, support call notes, voice agents, accessibility features, medical dictation, creator tools, and real-time captions. I also like that it is exposed through the Gemini API and Google AI Studio, so it is not just a feature buried inside a Google app. Developers can actually build with it directly.

    Negative: I would want to test it across noisy environments, accents, domain-specific vocabulary, and long calls before trusting it in production. Transcription models can look great in demos but struggle when audio quality gets messy.

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