Cleanvoice AI

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Remove background noise, filler words, long silence, and mouth sounds from your podcast using **AI**. 
Without hitting pause button every 10-20 seconds.


Edit your podcast in ~~4 hours~~ 
10 mins. Automatically.


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Be a podcaster, not an editor.

Clean up your audio or video podcast, in a few clicks.

Removing filler sounds and mouth sounds is very time consuming.

Removing **uhhhhh** filler sounds and mouth **sss-** sounds is **click** very **umm** time consuming.

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Cleanvoice detects and removes fillers sounds such as *um's* and *ah's* in multiple languages

In this episode of the Weird AI podcast, the hosts discuss how AI is being used to combat the massive illegal wildlife trade and poaching of endangered species like elephants. They highlight innovative approaches such as:

- AI-powered camera traps and drones to detect and track elephant populations and identify poachers
- Using drone technology, machine learning, and infrared imagery to detect poaching activities at night in wildlife reserves
- Employing sound detection to identify human movement and activities related to poaching
- A Harvard project using reinforcement learning and game theory to optimize patrol routes for rangers, detecting twice as many poaching traps compared to traditional methods

The speakers also discuss the potential of AI to monitor and clean up plastic pollution in oceans, using drones and satellite imagery. They cover challenges like visibility and sensor distortion when working underwater but note techniques from land-based monitoring could be adapted.

Additionally, the episode explores advanced image processing, 3D printing of fake animal products, and disrupting demand as strategies to combat illegal wildlife trade. The hosts encourage listeners to get involved in this important conservation work.

In this episode of the Weird AI podcast, hosts Adrian Spataru and Bohdan Andrusyak discuss how AI is being used to help save elephants and combat the global illegal wildlife trade. They highlight the massive scale of poaching, which has become a multi-billion dollar criminal industry involving sophisticated operations with heavy weaponry. To combat this, they explain how AI-powered camera traps and drones are used to detect and track elephant populations, as well as identify poachers. The goal is to better understand the nature of illegal wildlife trafficking and use technology as a solution to this pressing conservation challenge. The speakers discuss using drone technology and machine learning to detect poaching activities in wildlife reserves at night. They describe the challenges of working with infrared, black-and-white imagery and the need to employ game theory to outsmart poachers. The team also utilizes sound detection to identify human movement and activities, but acknowledges that poachers may try to sabotage these systems. Overall, the speakers highlight the innovative approaches being taken to combat the critical issue of poaching and protect endangered wildlife. The speakers discuss a Harvard University project that focuses on using reinforcement learning to optimize strategies for wildlife conservation, specifically in the context of rangers protecting against poachers. The project involves creating a game-like simulation that factors in geographical data and probabilities to suggest effective patrol routes. The speakers highlight how this AI-powered approach has already shown promising results in real-world deployments, detecting twice as many poaching traps compared to traditional methods. They also discuss how AI could be further leveraged to help monitor and clean up plastic pollution in the oceans, using drones and satellite imagery to detect and remove waste that harms marine life. The discussion covers the challenges of using technology, such as drones and cameras, to detect and combat illegal fishing and poaching activities in the ocean. The speakers highlight the difficulties of working underwater, where visibility and sensor distortion can be major obstacles. However, they also note that techniques used for land-based wildlife monitoring, like detecting animal footprints, can be adapted for marine environments. The speakers encourage social entrepreneurs and AI researchers to tackle these problems, as advancements in this field can have a significant impact on preserving biodiversity and protecting the oceans. The speakers discuss the use of advanced image processing techniques, such as upscaling and AI-powered object detection, to combat poaching and the illegal wildlife trade. They highlight how creative solutions like 3D printing of fake rhino horns and counterfeit luxury sneakers have disrupted these illicit markets, emphasizing that tackling the demand is key to truly addressing the problem. The speakers encourage listeners to get involved in this important work and provide contact information to connect with them on social media.

AI's Crucial Role in Combating the Illegal Wildlife Trade

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Even if your podcast has honking vehicles, crying baby, barking dogs, or slamming doors. Auto-remove background noise. 
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No need to shoot it again.




Background Noise Remover

Tired of finding filler words one by one from your recording? 
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Clear uhs, ums, ahs, and every filler from your podcast. Without making it sloppy.

Filler Words Remover in 20+ languages

Share interesting insights, not awkward silence. 
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Shorten long pauses and hook your listeners till the last word of your podcast.

Remove Long Pauses / Deadair

Get studio-quality sound, without owning one one. 
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Use AI editing and balance loudness in your podcast, brighten or soften your voice, and avoid distortion.

Audio Mastering

Remove lip-smacks, stutters, pops, and clicks. And even if your expensive mic catches heavy breath sounds, mute them. 
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Sound confident even when you are not.



Mouth Sounds and Breath Remover

Got a lot on your schedule and editing your podcast takes half of it? \
Save **5x more time** with Cleanvoice's AI podcast editing app.

“I have a job to do, but I love podcasting too”.  *Is that you?*

Generate podcast summary, without reading pages-long transcription and yawning. 
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Highlight key points with show notes and chapter markers. Boost your podcast with social content.



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Podcast Summary + Social Content

Going insane over transcribing podcast word-by-word? 
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Get error-free transcription in a click - no matter what your accent is. And download in multiple formats.



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Podcast Transcription

Got multiple guests in separate tracks? 
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Simultaneously edit these files. And sync them into a single, uninterrupted podcast. Save time.

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Multitrack Editing

Export timelines of removed parts from your recording. 
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Take a reference for manual editing. Or customize it in your editor.

Edit your podcast in 4 hours 10 mins. Automatically.

Transcribe, summarize, and automate more things post-production

Podcast Summary + Social Content

Podcast Transcription

Multitrack Editing

Timeline Export

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Drag and Drop Your Files

Sit Back and Let AI Do the Magic

Download Or Export Results

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