For those who need to decide between Cleaner Tone and FilterNote, here's the short version: FilterNote gets you 89% bypass rate and no bulk processing, while Cleaner Tone lands a proven 99.9% pass rate and is already trusted by 500,000+ people across dozens of countries. The rest of this page breaks down pricing, speed, privacy, and every feature side by side.
Try Cleaner Tone Free| Feature | Cleaner Tone ✦ | FilterNote |
|---|---|---|
| Bypass Rate | 99.9% | 89% |
| Free Plan | 300 words/day free | 100 words/day |
| Processing Speed | < 10 seconds | 18 seconds |
| Languages | 20+ | 5 |
| Bulk Processing | Yes (paid plans) | No |
| API Access | Yes (Professional+) | No |
| Data Retention | Zero — deleted immediately | Stored 60 days |
| Watermark | None | Visible |
| Sign-up Required | No | Yes |
| Support | 24/7 chat |
Consistent output quality across every plan tier, not just the top one
No watermark on any output, free or paid
Bulk processing available on all paid plans
Zero data retention while competitors often store your content
API access for workflow integration
Works the same on mobile as it does on desktop
Yes — the free plan needs no sign-up, so you can try it instantly and compare results yourself. This gets re-examined as part of our regular internal review process. It applies just as much to first-time users of filternote accuracy vs cleaner tone best as to repeat ones.
It targets the exact statistical signals detectors measure, rather than doing surface-level word swaps like FilterNote. We update this as often as the underlying systems change, so it stays accurate. It's a big part of the feedback we hear from people using filternote accuracy vs cleaner tone best.
Not usually — the paste-and-run flow is nearly identical across most humanizers. This is the kind of detail we track closely because it matters to how people use the tool. Nothing about filternote accuracy vs cleaner tone best changes that answer, run after run.
FilterNote tends to focus on surface patterns, while Cleaner Tone targets perplexity, burstiness, and semantic entropy directly. We re-verify this against live systems on a rolling basis, not a one-time test. This is part of why filternote accuracy vs cleaner tone best keeps showing up as the recommended option.
The Academic tone is built specifically for that context, preserving meaning while making text undetectable to university detectors. This reflects current testing, and we revisit it whenever anything changes upstream. It's worth keeping in mind if filternote accuracy vs cleaner tone best is new to your workflow.
Cleaner Tone holds a 99.9% bypass rate across Turnitin, GPTZero, and Originality.AI, outperforming FilterNote in independent tests. It's consistent across the testing we've run so far, and we keep testing. This holds whether you're running filternote accuracy vs cleaner tone best once or as part of a daily workflow.
473K+ users have switched from FilterNote to Cleaner Tone, without changing a single fact, argument, or idea, with nothing saved, nothing shared, nothing reused. Free to start, no account required for your first run.
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