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Resound

Resound automates podcast editing, detects filler sounds, enhances audio, and offers customizable plans.
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Resound

What is Resound?

Resound is an AI editing app designed for podcasters to automate the editing process. It aims to streamline podcast editing by automating tasks such as detecting filler sounds, long silences, and enhancing audio quality. With Resound, creators can focus more on their message rather than the editing process, as it helps in minimizing the time spent on editing podcasts. Resound uses machine learning models to analyze audio patterns, identify errors like filler words, and suggest edits to save time for the creators. The platform provides users with control over the editing process, allowing them to review the suggested edits before making final decisions. Furthermore, Resound offers a user-friendly interface, automated features, and supports various audio file formats, enhancing the overall podcast editing experience. It also has plans tailored to different editing needs, including a free account option with limited editing hours and paid plans for more processing time.

Who created Resound?

Resound was founded by a team that initially worked at Resonate Recordings and launched the company in 2021 with the mission to automate podcast editing using AI. The AI editing app for podcasters was inspired by the German Physicist Ernst Chladni, known as "The Father of Acoustics." The platform was officially launched on March 28, 2022, after securing resources, growing the team, and testing their MVP.

What is Resound used for?

  • User-friendly interface
  • Enhancing audio quality
  • Automates podcast editing
  • Significantly reduces editing time
  • Detects and removes filler sounds
  • Automatically finds silences
  • Easy audio trimming
  • Audio enhancement features
  • Identifies frequently repeated words
  • Identifies false starts and stumbles
  • Interactive editing review
  • Multiple audio export formats
  • Enhances audio quality
  • Mixes and masters podcasts
  • Supports single and multitrack audio files
  • Automated podcast editing
  • Detecting and removing filler sounds
  • Identifying repeated words
  • Mixing and mastering podcasts
  • Trimming audio
  • Working with both single and multitrack audio files
  • Maintaining consistent volume levels across tracks
  • Improving user experience through time-saving features
  • Personalizing content and ads through cookies
  • Removes background noise
  • Personalizes user experience

Who is Resound for?

  • Podcasters
  • Freelancers
  • Podcast networks
  • Business owners
  • Audio Engineers
  • Content creators

How to use Resound?

To use Resound, follow these steps:

  1. Create an account on Resound's platform.
  2. Upload your unedited audio files by dragging and dropping them into the upload circle.
  3. Resound will use its AI to analyze the audio and suggest edits like removing filler sounds and enhancing audio quality.
  4. Review the suggested edits and make final decisions on which edits to apply.
  5. Export your edited audio file in your preferred format, such as WAV, MP3, or AAF.
  6. You can reopen previous edits, make changes, and re-export them for free within specific timeframes based on your plan.

Resound offers a free plan with 1 hour of editing per month. If more editing time is required, users can upgrade to a premium plan at $15 per month for four hours of processing time. The tool is user-friendly, requiring no prior editing experience, and automates tasks like identifying filler sounds, silences, and trimming audio. Additionally, Resound plans to introduce new features such as repeat detection, filler word detection, video exports, and stutter detection to enhance user experience and save time.

Pros
  • Automates podcast editing
  • Significantly reduces editing time
  • Detects and removes filler sounds
  • Automatically finds silences
  • Easy audio trimming
  • Audio enhancement features
  • Identifies frequently repeated words
  • Identifies false starts and stumbles
  • Proprietary machine learning models
  • Interactive editing review
  • Multiple audio export formats
  • Personalizes user experience
  • Maintains user session states
  • Tracks and analyzes user interaction
  • Planned additional features
Cons
  • Requires internet connection
  • Privacy issues with cookies
  • Limited free usage
  • No offline mode
  • Dependent on audio file quality
  • Focuses only on podcast editing
  • No video editing capability
  • Website navigation complexity
  • Limited file export formats

Resound Pricing and plans

Paid plans start at $15/month and include:

  • 20 mins of processed audio
  • Filler sound detection
  • Silence detection
  • Trim audio
  • Export MP3
  • 1 track per project

Resound FAQs

Can I cancel or change my plan anytime?
Yes. You can cancel your plan or downgrade to a cheaper plan anytime by going to Account Settings > Subscription. If you have trouble, you can chat with us in the app or email [email protected].
What happens if I go over my usage limit and need more hours?
Whenever you hit your processing time limit, we’ll notify you within the app. You'll have the option to upgrade to the next plan or wait until your usage resets at the start of your next billing period.
How does Resound calculate audio processing time?
Audio processing time is calculated at the project level based on the longest file length in that project. Time is calculated down to the millisecond for accuracy but simplified into minutes and seconds for convenience on the front end.
What happens to unused processing time at the end of the month?
Unused hours expire at the end of your subscription billing period and renew at the start of the next period.
Can I purchase individual hours of processing time?
Once you hit your limit, you can upgrade to a higher-paid plan to unlock more hours immediately or wait until your usage renews at the start of your next billing period. Custom plans can also be requested.
What payment methods does Resound accept?
Resound accepts multiple payment methods, but specific details on accepted methods are not provided in the file.

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