Freelance deliveries can be judged on clarity, pacing, format and client requirements. Submit a recording you are allowed to use and receive one processed file for your own listening and client-side checks.
First accepted beta recording free · MP3/WAV up to 50 MB · Private delivery · Results vary.
FROM SOURCE TO FINISHED FILE
A workflow for freelance voiceover artists.
01 / SOURCE REVIEW
What to listen and look for
Rigid phrasing, codec glare, phase texture and inherited ID3, LAME or Lavf strings can all invite closer review. These are different kinds of signals: an encoder tag is not an acoustic fingerprint, and neither proves a provider watermark is absent.
02 / STUDIO PROCESSING
How the DSP workflow helps
Our six-stage DSP workflow can adjust spectral and temporal qualities, with a separate container review where appropriate. Human QA checks the result before private delivery. We cannot promise a detector score or identify a file’s origin from a string scan.
03 / STUDIO RACK
Suggested starting settings
Start with the full acoustic and phase-dispersion profile for audible texture concerns, or request a container-only review if you want to keep the sound unchanged. Specify neutral or warm tone and your preferred MP3/WAV output in the upload notes.
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.
Keep the unprocessed source so you can compare intelligibility, consonants, sibilance, pauses and timing at matched playback level.
Our owner-supplied Foxwood_01 screenshots show 96% → 2% on the legacy ElevenLabs Speech Classifier and 71% → 6% on AI Voice Detector for that sample only.
Confirm the client permits AI-assisted work and that you hold the rights and consent for any cloned voice.
The Foxwood_01 scores are point-in-time observations of one source and processed file, not a prediction for yours. ElevenLabs’ current Audio Detector can check embedded watermarks separately from its legacy speech classifier.