Audience

Developers and product teams seeking to build accurate real-time transcription, voice agents, captioning, dictation, and speech-processing applications with multilingual AI

About Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is Google’s most precise speech-to-text model yet, designed for intelligent voice interactions and real-time transcription. Instead of simply converting speech word for word, it turns raw audio into accurate, polished, formatted text while handling background noise, complex jargon, accents, dialects, and natural speaking patterns. Smart transcription automatically understands self-corrections, removes filler words such as “ums” and “ahs,” and formats the final text for readability. The model supports continuous bidirectional streaming with sub-second latency for interactive voice applications, as well as pre-recorded audio processing for meetings, call logs, and other recordings with speaker attribution and word-level timestamps. Custom vocabulary helps it recognize specialized terminology, unique spellings, postal codes, order IDs, and other domain-specific language.

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Integrations

API:
Yes, Gemini 3.5 Transcribe offers API access
See Integrations

Ratings/Reviews - 1 User Review

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
More Reviews for Gemini 3.5 Transcribe Write a Review

Company Information

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

Videos and Screen Captures

Gemini 3.5 Transcribe Screenshot 1
Gemini 3.5 Transcribe Screenshot 1 Gemini 3.5 Transcribe Screenshot 2 Gemini 3.5 Transcribe Screenshot 3
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online

Gemini 3.5 Transcribe Frequently Asked Questions

Q: What kinds of users and organization types does Gemini 3.5 Transcribe work with?
Gemini 3.5 Transcribe works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Gemini 3.5 Transcribe support in their product?
Gemini 3.5 Transcribe supports these languages: English.
Q: What kind of support options does Gemini 3.5 Transcribe offer?
Gemini 3.5 Transcribe offers support via online.
Q: What other applications or services does Gemini 3.5 Transcribe integrate with?
Gemini 3.5 Transcribe integrates with: Gboard, Google AI Studio, Google Antigravity, Google Chrome, Gemini Enterprise Agent Platform, and Gemini.
Q: Does Gemini 3.5 Transcribe have an API?
Yes, Gemini 3.5 Transcribe has an API.
Q: What type of training does Gemini 3.5 Transcribe provide?
Gemini 3.5 Transcribe provides training in the form of documentation and videos.

Gemini 3.5 Transcribe Product Features

Transcription

Annotations Not Supported
Automatic Transcription Not Supported
Audio/Video File Upload Not Supported
AI / Machine Learning Not Supported
Collaboration Tools Not Supported
For Manual Transcription Not Supported
Multi-Language Support Not Supported
Playback Controls Not Supported
Subtitles Not Supported
Speech Recognition Not Supported
Timecoding Not Supported
Full Text Search Not Supported
Natural Language Processing (NLP) Not Supported
Text Editor Not Supported
File Sharing Not Supported

Gemini 3.5 Transcribe Verified User Reviews

Write a Review
  • A Gemini 3.5 Transcribe User
    Developer
    Used the software for: Less than 6 months
    Frequency of Use: Daily
    User Role: User
    Company Size: 100 - 499
    Ease 5 out of 5 stars
    Features 5 out of 5 stars
    Pricing 5 out of 5 stars
    Probability You Would Recommend? 9 out of 10

    "Epic STT model"

    5 out of 5 stars Posted 2026-08-26

    Pros: 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.

    Cons: 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.

    Overall: 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.

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