+
+

Related Products

  • Google Cloud Speech-to-Text
    366 Ratings
    Visit Website
  • LALAL.AI
    5,355 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Expedience Software
    34 Ratings
    Visit Website
  • Docmosis
    51 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • MobiPDF
    7,811 Ratings
    Visit Website
  • wp2print
    7,598 Ratings
    Visit Website
  • QEval
    30 Ratings
    Visit Website
  • Fathom
    7,733 Ratings
    Visit Website

About

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.

About

Solarch is a backend-architecture tool where diagrams compile, validate, self-correct, document, and ship. Most AI tools generate code and hope the architecture catches up; Solarch flips that by generating architecture first, grounded in canonical patterns, validated by a strict Rules Engine, and refined through a self-correcting loop. The AI proposes, the rules verify, and only correct graphs land on the canvas. Users can type a sentence or sketch a box, and Solarch turns the intent in their head into a validated architecture, then turns that architecture into working code. The whole backend lives on a single surface, grounded by an AI architect, kept honest by rules, and type-safe end to end. Controllers, services, repositories, tables, DTOs, queues, and other backend parts are represented as node and edge graphs, with 8 node families and 16 semantic edge types.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

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

Audience

Backend developers and architects that need to visually design system architecture, validate dependencies, and generate code that stays aligned with the design

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$5 per month
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

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.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

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

Company Information

Solarch
United States
www.solarch.dev/

Alternatives

Alternatives

CodeMender

CodeMender

Google DeepMind
Cartesia Ink 2

Cartesia Ink 2

Cartesia
Rev AI

Rev AI

Rev

Categories

Categories

Integrations

Gboard
Gemini
Gemini Enterprise Agent Platform
Google AI Studio
Google Antigravity
Google Chrome
LangGraph

Integrations

Gboard
Gemini
Gemini Enterprise Agent Platform
Google AI Studio
Google Antigravity
Google Chrome
LangGraph
Claim Gemini 3.5 Transcribe and update features and information
Claim Gemini 3.5 Transcribe and update features and information
Claim Solarch and update features and information
Claim Solarch and update features and information