Text to Speech for Dyslexia Support
About us
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Turn your text into a natural voice
Transform your text into an engaging podcast recording
Turn your text into a compelling story
Customize voiceVoice
Xavier
Tone
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Frequently Asked Questions
Text to speech converts written text into audio, helping dyslexic individuals by providing an auditory learning option that can improve reading comprehension and accessibility.
It provides an alternative way to process written information, catering to auditory learning preferences and helping overcome reading difficulties by listening instead.
Voices like Ember and Zoe, known for their warm and soothing tones, can be particularly comforting and accessible for dyslexic students, aiding in a gentle listening experience.
Yes, free users can generate a 10-second preview to experience the tool's capabilities. Full access is available for logged-in users, allowing longer audio creation.
The Friendly tone with its warm and personal voice can make listening more engaging and relatable for dyslexic students, enhancing comprehension.
Yes, you can upload various file types like .txt and .csv, as well as images and videos for OCR and transcription, converting content into audio seamlessly.
Yes, the limit is 15,000 characters per generation, including text input and text extracted from files. Larger texts require multiple generations.
Yes, the tool utilizes OCR to extract text from images across several formats, enabling text to speech conversion for visual content.
Absolutely, it assists language learners by providing audio versions of text, aiding pronunciation and listening skills development.
In Standard mode, you can select from preset tones or enter a custom description to achieve a personalized audio tone that suits your needs.
Yes, you can input typed content alongside uploaded files, merge them for a cohesive audio output, supporting complex documents.
No, the tool requires an internet connection for processing and generating audio, but the downloaded files can be played offline.
Supported formats include .txt, .md, .json, .csv for text, various image formats for OCR, and audio/video files for transcription.
Logged-in users can download the generated audio files in .m4a format, making them accessible for offline listening and sharing.
Yes, the produced audio can aid group learning environments by providing accessible content for everyone, enhancing collaborative educational sessions.