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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Transcribe significantly reduces the time spent on transcription each month for journalists, lawyers, podcasters, students, and professional transcriptionists globally, potentially saving thousands of hours. Boost your efficiency and reclaim valuable time by transforming a wide variety of audio content, including interviews, lectures, speeches, and podcasts, into written text. Simply put on your headphones, play your audio at a slower pace, and articulate what you hear—it's really that straightforward. Our dictation technology allows for real-time speech-to-text conversion, offering a speedier alternative to traditional typing methods. We cater to a diverse range of languages, including English, Spanish, French, Hindi, and nearly all other languages from Europe and Asia, making transcription accessible for a global audience. This versatility ensures that users from different linguistic backgrounds can benefit from our service seamlessly.

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

Axis LMS
Desktop.com
SYSTRAN

Integrations

Axis LMS
Desktop.com
SYSTRAN

Pricing Details

No price information available.
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

Wreally

Founded

2008

Country

United States

Website

transcribe.wreally.com

Vendor Details

Company Name

Vocapia

Country

France

Website

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

Product Features

Medical Transcription

Abbreviation Expansion
Archiving & Retention
Audio File Management
Audio Transmission
Customizable Macros
Transcription Reporting
Voice Capture
Voice Recognition

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

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

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