ReadSpeaker is a global voice specialist providing languages and lifelike voices. With its technology, the company delivers natural-sounding synthesized voices, using Deep Neural Network (DNN) technology to structurally improve voice quality at all levels. ReadSpeaker is a subsidiary of the Memory Disk Division (MD) of the HOYA Corporation, with offices in 15 countries, and over 10,000 customers in 65 countries, providing a complete text-to-speech (TTS) offering, both as Software-as-a-Service…
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Wordbee
Score6 out of 10
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Wordbee in Luxembourg offers their eponymous computer-assisted translation and translation management.
This app works perfect in every situation but in some real time usage The voice sometime lags or fluctuate. So this app is well suited for pre-writtentext to voice conversion rather than real-time usage
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
It is easy to view two columns of source and target, and when using the filter to see just untranslated segments. TM and matches can be seen and differentiated easily. Scenarios where it is less appropriate are their spellcheck and filter areas, which could be improved by adding more options.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The text to voice service of ReadSpeaker is very natural. The voice is very natural and clear. It doesn't sound much like a robot. One can find male or female voice in different accent also.
It not only converts the text into voice but also add emphasis on some particular point if we want to add. The most engaging part is it also take care of punctuation. The speed can also be customized.
It also works in real time text to voice conversion.
My content is very safe with this app. I have never seen ads in Google or somewhere related to my content after using ReadSpeaker.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Different colors to differentiate the status of the segment. One can click on the segment and change the color for the segments that were translated and those that still need to be reviewed.
Machine translation interface. There are three different machine translators at the side of the segments.
TM can be seen with matches highlighted at the side.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Find and replace option could be improved to be easier.
The filter could have more options.
Spellcheck and QA need to be improved because I can not see it as an option in the online interface of my client. I need to download the document to do the spell check, and then correct the errors with the find and replace option.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
This app deserves five star rating because this app can be in combined with any third-party app for the usage. Also this app can be used for people who are vision handicapped as they cannot read but they can here in their particular language which I guess is the best part of this app. Moreover, the overall experience is very value for money thing. I would suggest this app to so many people's in my company who are in customer service.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info