PODCAST AUDIO CLEANUP & EDITING KIT
Clean, even, on-spec podcast audio you can prove with a before/after.
Service or course. We email you within 24h after checkout to begin.
It does not promise income, downloads, subscribers, ratings, or reviews, and it cannot un-clip distorted audio, remove heavy room echo, or unmix overlapping speakers. It is not content editing, music production, or transcription, and the compliance pack is a practical baseline, not legal advice. Requires free FFmpeg.
If you're offering a podcast audio-cleanup service, the hard part isn't the editing software, it's delivering audio that hits a real spec and proving it to the client. This kit gives you a working Python tool that builds and runs the correct FFmpeg chain (de-rumble, denoise, de-ess, level, loudness-normalize, true-peak cap) plus a measurement tool that grades every file PASS or CHECK against a delivery target.
It's a complete system, not just a script: production playbook, client templates, a GDPR/ePrivacy compliance baseline, and a warm-first outreach kit. The included before/after sample is openable and reproducible in four commands, with real measured numbers (-29.67 to -17.37 LUFS) so you can hear and show the difference.
What you get
- audio_cleanup.py (the chain)A pure standard-library Python tool that builds and runs the FFmpeg cleanup chain in the correct order, with presets for podcast, mono, voiceover, loud, and broadcast.
- audio_analyze.py (the proof)A measurement tool that reports integrated LUFS, loudness range, true peak, and clipping, then grades each file PASS or CHECK against your delivery target.
- Openable before/after sampleA real sample with measured numbers (-29.67 to -17.37 LUFS) that you can reproduce yourself in four commands, so the result is verifiable, not a claim.
- Production-craft playbookThe step-by-step system for running a clean, repeatable cleanup workflow from raw file to delivered, on-spec audio.
- Client templatesReady-to-use intake, rights gate, before/after report, handover, and specs documents so the client-facing side is handled.
- Compliance packA practical GDPR/ePrivacy baseline covering the data-handling basics of running this as a service.
- Warm-first outreach kitAn outreach approach built around offering a free first episode, so your first conversations lead with value instead of a pitch.
How it works
- Install free FFmpeg, then run audio_cleanup.py to apply the correct-order chain: de-rumble, denoise, de-ess, level, loudness-normalize, true-peak cap.
- Pick a preset (podcast, mono, voiceover, loud, broadcast) to match the job.
- Run audio_analyze.py to measure integrated LUFS, loudness range, true peak, and clipping.
- Read the PASS/CHECK grade against your delivery target before you hand anything over.
- Reproduce the included before/after sample in four commands to confirm the toolchain works on your machine.
Turnaround and what I need from you
- You need free FFmpeg installed and a machine that can run Python (standard library only, no extra packages).
- You provide the source audio file you want cleaned and your delivery target spec.
- The tools run locally, so turnaround depends on your file length and your computer, not on a queue.
- Use the intake and rights-gate templates to confirm you have the right to process the audio before you start.
What it does NOT include (honest limits)
- No promises about income, downloads, subscribers, ratings, or reviews. This is a tool and a system, not an outcome.
- It cannot un-clip distorted audio, remove heavy room echo, or unmix overlapping speakers.
- It is not content editing, music production, or transcription.
- The compliance pack is a practical baseline, not legal advice.
- It requires free FFmpeg to run, which you install separately.
Right for you if…
- You run or want to start a podcast audio-cleanup service and need a repeatable system to deliver clean, even, on-spec audio.
- You want a tool that builds the correct FFmpeg chain for you (de-rumble, denoise, de-ess, level, loudness-normalize, true-peak cap) without hand-tuning each file.
- You want to prove your work to clients with a before/after report and PASS/CHECK grading against a delivery target (LUFS, true peak, clipping).
- You want the business side handled too: client templates, a GDPR/ePrivacy baseline pack, and a warm-first outreach kit built around a free first episode.
Probably skip it if…
- Skip it if you expect guaranteed income, downloads, subscribers, ratings, or reviews, because it makes no such promises.
- Skip it if your source files are already clipped or distorted, have heavy room echo, or need overlapping speakers unmixed, since the tool cannot fix those.
- Skip it if you need content editing, music production, transcription, or formal legal advice, because the compliance pack is a practical baseline only and those are out of scope.
Questions
Do I need to be a sound engineer to use this?
No. The Python tool builds and runs the FFmpeg chain in the correct order for you, and the analyze tool grades each file PASS or CHECK so you can see whether it meets your target. You do need free FFmpeg installed and basic comfort running a command.
Can it fix badly recorded audio?
Within limits. It cleans, levels, and normalizes loudness and caps true peaks, but it cannot un-clip distorted audio, remove heavy room echo, or unmix overlapping speakers. It also does not do content editing, music production, or transcription.
What's the refund policy and do I get updates?
There's a fair 48-hour refund if it's not right for you. Your purchase includes future updates to the kit at no extra cost.
Will this get my podcast more listeners or better reviews?
No, and we won't claim otherwise. This makes your audio clean, even, and on-spec, and lets you prove it with a before/after. It makes no promises about downloads, subscribers, ratings, or reviews.
Clean, even, on-spec podcast audio you can prove with a before/after, with the full delivery system included, for $4.90 at launch.
Buy for $4.90