What is Read Aloud: A Text to Speech Voice Reader?

55/100
Trust Score (C)
⚠️ Use Caution

Read Aloud: A Text to Speech Voice Reader is a firefox that Read out loud the current web-page article with one click. Supports 40+ languages.. It has a Nerq Trust Score of 55/100 (C). 0 GitHub stars. Published by LSD Software. Last analyzed September 2026.

Why This Score

Trust & Safety Overview

55
TRUST SCORE
C
GRADE
0
STARS
0
DOWNLOADS

What Read Aloud: A Text to Speech Voice Reader Does

Read Aloud: A Text to Speech Voice Reader is a firefox in the firefox category. Read out loud the current web-page article with one click. Supports 40+ languages.. It is published by LSD Software and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use Read Aloud: A Text to Speech Voice Reader

Read Aloud: A Text to Speech Voice Reader is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorLSD Software
Categoryfirefox
LicenseNot specified
Typefirefox
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=read-aloud-a-text-to-speech-voice-reader

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is Read Aloud: A Text to Speech Voice Reader used for?
Read Aloud: A Text to Speech Voice Reader is a firefox tool. Read out loud the current web-page article with one click. Supports 40+ languages..
Is Read Aloud: A Text to Speech Voice Reader free?
License: Check project page. Read Aloud: A Text to Speech Voice Reader has 0 GitHub stars.
Is Read Aloud: A Text to Speech Voice Reader safe?
Read Aloud: A Text to Speech Voice Reader has a Nerq Trust Score of 55/100 (C). Use with caution.
What are alternatives to Read Aloud: A Text to Speech Voice Reader?
Top alternatives: . See full comparison.

Last updated September 2026. Trust scores based on automated analysis of public data.

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