Text to Speech for Customer 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 natural-sounding audio. This can be useful for customer support to improve accessibility and communication.
Yes, text to speech is highly beneficial for customers with disabilities, offering an accessible way to receive information audibly.
Lyra offers a warm, friendly tone suitable for customer service interactions. Choose from various voices for different tones and contexts.
Use the Friendly tone in Standard mode for a warm, personal delivery. Describe custom tones for specific needs in the tone text field.
Absolutely, it enhances text-based services by providing an audio option, enriching the customer experience and accessibility for users.
You can upload text files like .txt, .md, .json, or .csv. It also supports images and audio/video for transcription.
Yes, technical texts such as those used by airlines can be uploaded as text files, which can then be converted to speech.
Text to speech can read out account-related communications, making it easier for customers to understand changes or updates.
Yes, the tool is browser-based and works smoothly on various systems, including those powered by Microsoft.
Yes, upload video files to transcribe them into text, which can then be converted into speech for easier understanding.
While not specifically designed for speech therapy, it can aid by providing consistent pronunciations and speech patterns for practice.
Yes, you can combine typed text with text extracted from uploaded files for a complete audio file.
Yes, the maximum file size for uploads is 100 MB. Ensure your files stay within this limit for smooth processing.
No, audio generation requires an internet connection as the processing is done online. Downloaded audios, however, can be played offline.
Generation times can be up to 1 minute, depending on the complexity and length of the content being processed.