Custom Text To Speech For Microsoft Edge
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
This tool converts text into natural-sounding audio files, allowing customization of voice and tone, then downloads the result as .m4a files.
Yes, the text-to-speech tool functions smoothly in Microsoft Edge, utilizing its browser-based capabilities without the need for additional software.
.m4a format is used for all generated audio files, ensuring compatibility with most media players.
In Standard mode, choose from 10 AI voices such as Mia for energetic deliveries or Griffin for authoritative tones.
In Standard mode, describe your desired tone, like "calm and professional," to create a custom voice tone to match your unique needs.
Yes, you can input a maximum of 15,000 characters per conversion session, which combines both typed and extracted text from uploads.
You can upload various file types including .txt, .jpg, and .mp3 for text extraction and transcription, before converting to speech.
Select Standard mode to customize voice and tone to suit educational content, such as using calm tones for clarity in lessons.
Logged-in users can download completed audio files for offline use, directly from the Edge browser window.
Logged-in users can control playback speed with options ranging from 0.75x to 2x, adjusting pacing to fit their preference while listening.
For business contexts, the Professional tone is ideal, providing a clear and authoritative output suitable for presentations or official content.
No, the tool does not support real-time voice synthesis. All processing is done on the server, requiring an internet connection.
This tool doesn't support audio editing. Once generated, use third-party software like Audacity for any modifications.
No, an internet connection is necessary as the AI processes all text-to-speech conversions on the server.
Audio and video uploads must not exceed 60 minutes in length for successful processing and transcription.