PodCleaner has a very simple interface: just load the files you want to process and press the START button, even with the default settings you can achieve optimal results.
PodCleaner uses an intelligent algorithm that takes advantage of pauses in speech to synchronize the separate audio tracks recorded by each participant to the podcast, each on their computer.
Comprehensive progress status
Podcleaner is pretty quick in drawing file, but when computing continues to update you indicating which process steps are completed, which are in progress and what remains to be done.
The audio compressor PodCleaner normalizes the dynamics of all parts of the file and for all audio tracks, so each voice will be perfectly understandable and volume levels leveled with each other:
Single file workflow
Using PodCleaner with a single file is quite simple: just load the audio and press START!
Multiple files workflow
If you host a podcast with multiple users, each one recording his own track, you can process all audio files simultaneously and auto-sync all the voices with zero effort!
Cluster-based noise gate
The noise gates of PodCleaner is a noise gate which analyzes clusters of speech and not the individual samples, allowing you to produce a cleaner audio track, more natural and less “dirty” due to possible clicks and background noises.
PodCleaner is equipped with automatic noise reduction: it scans the entire audio file by finding the background noise of the room and sets the appropriate reduction to preserve the quality of speech.
End of job notification
After processing PodCleaner can alert you by sending you an e-mail with the report of the work, pointing to the files processed and the final result.
PodCleaner, after all the processing, also allows you to reduce silent pauses in speech, allowing you to make tracks with higher pace, and talks more pleasant to listen to.
From the main interface you can access to PodCleaner main settings to select samples per seconds and indicate your e-mail to be alerted once the job has finished!
With a simple workaround you can use PodCleaner to clean up audio on video files, such as interviews, tutorials, voice-off recordings and so on.