Automate filler word and silence removal for podcasts
Resound uses AI to automatically find and remove distracting filler words like 'ums' and 'ahs' from your podcast audio. It also detects long silences and lets you trim and enhance your recordings with simple clicks. This saves you hours of editing time, so you can focus on creating great content instead of fixing mistakes.
Automatically find and remove ums and ahs from audio
Detect long silences to improve podcast pace and retention
Cut and edit audio easily with click-and-drag actions
Mix and master podcasts to remove noise and optimize sound
Integrate AI editing capabilities into other applications
Resound is the AI editing app for podcasters that automates tedious parts of podcasting so you can focus on your message, not your mess-ups.
Resound offers 1 hour of free editing each month, with an option to upgrade to 4 hours of monthly processing time for $15/mo.
No experience is required; Resound is designed to be easy for podcasters of all experience levels to edit out mistakes like umms and ahhs.
This tool is best for:
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Recent data shows that Resound has 22.9K monthly visits (-14.7% decrease from the previous month), 35.0% bounce rate, and average 4.97 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 28% of total traffic. SEO performance is shown by 5 tracked keywords, with "i want to become better at hosting podcasts" being the top-performing keyword with 0 monthly searches. See below for more info.
Monthly Visits
22.9K
Pages per Visit
4.97
Bounce Rate
35.0%
Average Time on Site
58s
| SEO Keyword | Volume | CPC |
|---|---|---|
| i want to become better at hosting podcasts | 0 | - |
| best aternatives toadobe podcast | 280 | - |
| how to text appropriately without being wordy? | 210 | - |
| ai podcast editor | 760 | $10.87 |
| free ai editor for podcast | 140 | - |
| Source | Traffic Share |
|---|---|
| Direct | 39% |
| Search | 41% |
| Social | 8% |
| Referrals | 11% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 28% |
 | 11% |
 | 10% |
 | 7% |
 | 6% |
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