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ease
features
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support

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Description

Efficiently and precisely convert audio into text across over 85 languages and their variations. Enhance transcription accuracy by customizing models to better suit specific industry jargon. Unlock the full potential of spoken audio by allowing for search capabilities or analytics on the transcribed text, or enabling actions through your chosen programming language. Achieve high-quality audio-to-text transcriptions through advanced speech recognition technology. Expand your base vocabulary by incorporating particular terms or create your own bespoke speech-to-text models. Operate Speech to Text in various environments, whether in the cloud or locally through containers. Leverage the powerful technology that supports speech recognition in Microsoft products. Transform audio input from diverse sources, including microphones, audio files, and blob storage. Utilize speaker diarisation techniques to identify who spoke and when. Obtain well-structured transcripts complete with automatic punctuation and formatting. Customize your speech models for a better understanding of terminology specific to your organization or industry, ensuring a higher level of accuracy in your transcriptions. This versatility makes it easier to adapt the technology to your specific needs and applications.

Description

Transform your audio into different languages while maintaining the original voices. The service accepts only audio files, YouTube videos, or audio links that are under 15 minutes in length. You can upload an audio file, a YouTube link, or an audio link directly on our platform. Our website specializes in converting podcasts, audio files, and YouTube content into various languages, ensuring that the speaker's distinct voice remains intact. The translation procedure consists of multiple phases. Initially, the audio is transcribed into text through advanced speech recognition technologies. Following that, the transcribed text is translated into the selected languages using cutting-edge machine translation tools. The last step involves transforming the translated text back into speech, closely resembling the original speaker's tone and style. The time required for the translation process can vary based on the audio's length and the chosen target language. Typically, shorter audio files can be processed in approximately 3 minutes, while longer ones could take up to 10 minutes to complete. You are welcome to upload a range of audio file formats, including MP3, WAV, or M4A, to take advantage of this innovative service. This allows for seamless communication across language barriers, making your content accessible to a wider audience.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
Microsoft 365
Microsoft Azure

Integrations

Azure Marketplace
Microsoft 365
Microsoft Azure

Pricing Details

$1 per audio hour
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/cognitive-services/speech-to-text/

Vendor Details

Company Name

CloneDub

Website

www.clonedub.com

Product Features

Transcription

AI / Machine Learning
Annotations
Audio/Video File Upload
Automatic Transcription
Collaboration Tools
File Sharing
For Manual Transcription
Full Text Search
Multi-Language Support
Natural Language Processing (NLP)
Playback Controls
Speech Recognition
Subtitles
Text Editor
Timecoding

Product Features

Alternatives

Alternatives

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Dictation - Voice to Text

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