Text to Speech for Captions
About us
English
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
The tool converts written text into natural-sounding audio files which can be used for captions on platforms like YouTube and TikTok.
Use the text to speech feature to convert your script into an audio format, then integrate it into YouTube captions for a synchronized experience.
Yes, simply input your text and choose a suitable voice to create audio captions that enhance your video content.
You can choose from 10 AI voices, such as Xavier for balanced delivery or Mia for an energetic tone, ideal for various content styles.
Voice captioning involves generating audio from text, which can then be paired with video content to create synchronized captions.
Yes, convert your text into audio and use it to create engaging captions for your TikTok videos with different voice options.
Upload text in .txt, .md, .json, and .csv formats, or use image, audio, and video files for OCR and transcription before conversion.
Yes, the text to speech tool has a 15,000 character limit for input text, providing ample space for caption creation.
In Standard Mode, you can select from preset tones like Professional or Excited, or define a custom tone to match your caption style.
You can upload files up to 100 MB, making it suitable for extensive caption projects across different media.
No, an internet connection is required to use the AI text to speech services, as processing is done online.
To create captions with a friendly tone, consider using Zoe, whose voice is warm and personable, perfect for engaging content.
No, the tool does not support audio editing. However, you can download the .m4a file and edit it using third-party software.
Simply type or upload your text, select a voice and tone, and generate audio to pair with your video for seamless captions.
While the tool supports accurate pronunciation, ensure mixed language content is manually verified for clarity and cohesion.