Keep AI narration consistent across spoken-content projects.
A podcast segment, course lesson or short ad needs to sit cleanly beside music, live speech and other episodes. VoxErase processes one supplied recording and sends the finished file privately for your own production review.
First accepted beta recording free · MP3/WAV up to 50 MB · Private delivery · Results vary.
FROM SOURCE TO FINISHED FILE
A workflow for podcasts, elearning & ads.
01 / SOURCE REVIEW
What to listen and look for
A source export may have harsh upper mids, abrupt silence, inconsistent loudness or readable ID3, LAME and Lavf strings. C2PA is a structured provenance system: finding or removing a literal marker does not establish whether a signed manifest is present or valid.
02 / STUDIO PROCESSING
How the DSP workflow helps
Our six-stage DSP workflow can shape timing and tone and accommodate a requested container review, followed by listening QA. We never represent this as verified removal of provenance data or a guarantee against detection.
03 / STUDIO RACK
Suggested starting settings
Choose a warm Class-A-inspired tone for a softer spoken-word character, or transparent/neutral for a course or ad handoff. Ask for controlled room-tone treatment only where it fits the edit. Select your preferred MP3 or WAV output.
PRACTICAL CHECKLIST
Check the final file in its real destination.
Processing delivers one audio file for your own review. These points help you decide whether it is suitable for the project.
Check level and tone against adjacent human speech, music and other episodes before final mixdown.
If your workflow relies on C2PA or other provenance information, preserve it and verify it with a conforming validator.
For NotebookLM or any third-party voice source, confirm you can lawfully submit, process and publish the recording.
VoxErase is independent of NotebookLM and all voice providers. Third-party acceptance, detector results and provenance status are outside the service deliverable.