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ease
features
design
support

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Write a Review

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

The VoxSigma software suite is available as a web service through a REST API over HTTPS, ensuring that customers can consistently access our most up-to-date systems and benefit promptly from ongoing enhancements while also utilizing additional features provided by the online platform. Our speech-to-text service operates continuously throughout the year, featuring failover servers and ensuring geographic redundancy for reliability. The system includes automatic on-the-fly adaptation, allowing users to submit texts that correspond to the audio content being processed, which can be seen as a method of topic or domain adaptation. These supplementary texts enhance the lexical coverage of the speech-to-text system and help tailor the language model to the specific context of the audio document, ultimately aimed at boosting the accuracy of transcriptions. Furthermore, this adaptability not only improves performance but also facilitates a more personalized user experience, aligning the service more closely with individual client needs.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
Microsoft 365
Microsoft Azure
SYSTRAN

Integrations

Azure Marketplace
Microsoft 365
Microsoft Azure
SYSTRAN

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

Vocapia

Country

France

Website

www.vocapia.com/speech-to-text-services.html

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

Speech Recognition

Audio Capture
Automatic Form Fill
Automatic Transcription
Call Analysis
Concatenated Speech
Continuous Speech
Customizable Macros
Multi-Languages
Specialty Vocabularies
Speech-to-Text Analysis
Variable Frequency
Voice Recognition

Alternatives

Alternatives

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