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About

Amazon Transcribe makes it easy for developers to add speech to text capabilities to their applications. Audio data is virtually impossible for computers to search and analyze. Therefore, recorded speech needs to be converted to text before it can be used in applications. Historically, customers had to work with transcription providers that required them to sign expensive contracts and were hard to integrate into their technology stacks to accomplish this task. Many of these providers use outdated technology that does not adapt well to different scenarios, like low-fidelity phone audio common in contact centers, which results in poor accuracy. Amazon Transcribe uses a deep learning process called automatic speech recognition (ASR) to convert speech to text quickly and accurately. Amazon Transcribe can be used to transcribe customer service calls, automate subtitling, and generate metadata for media assets to create a fully searchable archive.

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.

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 searching for an automatic speech recognition and transcription software solution to add speech to text capabilities to their applications

Audience

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

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

$0.00013
per second
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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

Reviews/Ratings

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

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

Amazon
Founded: 1994
United States
aws.amazon.com/transcribe/

Company Information

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

Alternatives

Alternatives

Cartesia Ink 2

Cartesia Ink 2

Cartesia
Rev AI

Rev AI

Rev

Categories

Categories

Integrations

AWS App Mesh
Amazon
Amazon Ads
Amazon AppFlow
Amazon Athena
Amazon Attribution
Amazon Augmented AI (A2I)
Amazon Aurora
Amazon CloudFront
Amazon CloudSearch
Amazon Kendra
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Gboard
Gemini Enterprise Agent Platform
Google Chrome
Orange Logic OrangeDAM

Integrations

AWS App Mesh
Amazon
Amazon Ads
Amazon AppFlow
Amazon Athena
Amazon Attribution
Amazon Augmented AI (A2I)
Amazon Aurora
Amazon CloudFront
Amazon CloudSearch
Amazon Kendra
Amazon Redshift
Amazon S3
Amazon Simple Notification Service (SNS)
Amazon Simple Queue Service (SQS)
Amazon Web Services (AWS)
Gboard
Gemini Enterprise Agent Platform
Google Chrome
Orange Logic OrangeDAM
Claim Amazon Transcribe and update features and information
Claim Amazon Transcribe and update features and information
Claim Gemini 3.5 Transcribe and update features and information
Claim Gemini 3.5 Transcribe and update features and information