Text-to-speech guide
What AI Audio Generator does — and what to check
ConnexaX AI Audio Generator turns a written script into speech using the site's text-to-speech API and supported Edge/Bing speech voices. The script and selected voice settings are sent to the speech service for generation. Language, voice, speed, pitch and punctuation all affect how natural the result sounds, so a short preview is useful before generating a long narration.
Best uses for this tool
- Creating draft voiceovers for tutorials, explainers and accessibility-oriented listening workflows.
- Testing different supported voices and languages against the same script.
- Generating narration from clean text without recording a microphone take.
Important quality, privacy and usage notes
- Script text and voice settings are sent through the ConnexaX API to the configured speech service, so avoid entering confidential text.
- Names, abbreviations, numbers and mixed-language sentences can be pronounced differently from what you expect.
- A generated voice should not be used to impersonate or mislead people, and publication rights or platform rules still apply.
A reliable workflow for AI Audio Generator
Use the tool for the task it is designed to solve, then verify the final result against the destination where you will upload, publish, print or share it.
- 1
Clean the script by removing notes, timestamps and symbols that should not be spoken.
- 2
Choose the correct language and a voice that fits the content before changing advanced controls.
- 3
Use punctuation and paragraph breaks to guide pauses and sentence rhythm.
- 4
Generate a short sample first and listen closely to names, numbers and abbreviations.
- 5
Adjust speed or pitch gradually rather than using extreme settings that reduce clarity.
- 6
Listen to the final file on normal speakers or headphones before publishing or combining it with video.
Common questions
AI Audio Generator FAQ
Is the text-to-speech generation completely local?
No. The current implementation sends the script and selected voice settings through a ConnexaX API route to the configured speech service.
Why are some names pronounced incorrectly?
Text-to-speech systems infer pronunciation from language and spelling. Phonetic spelling, punctuation or a different voice can sometimes improve difficult names.
Should I generate a long script in one attempt?
A short test is safer first. For long projects, splitting the script into logical sections makes pronunciation mistakes easier to correct.
Useful next steps