R.
Audio restoration and stem separation
It can bring back clarity without making everything sound too artificial or overprocessed. Stem separation is also surprisingly clean.
压缩和窄带录音可能丢失让语词易于理解的细节。将原版与修复后的版本对比。






保留已编辑好的画面,改善让教程、访谈、会议或手机视频难以听懂的音轨。
R.
Audio restoration and stem separation
It can bring back clarity without making everything sound too artificial or overprocessed. Stem separation is also surprisingly clean.
N.
MP3 and CD audio restoration
Does amazing job in restoring Audio from bad quality MP3s and badly extracted audio from CDs. Always my go to for audio restoration.
Amazing tool for audio. Clean, simple, and effective. I would spend hours in RX to get the same results. Give it a try. I can save you hours of production time.
M.
Restoration and mastering
The flash upscaler mixed with the composite mix system makes it super easy to get closer to a song master that I'm happy with
I've been loving the app. The audio restoration works amazing on my suno songs
IMDK
I love the interface. I love the bulk upload/download features. They're a life saver! Also I just realized that Apollo is magic and I don't even need to use denoise. Apollo somehow removes noise much more naturally. So I'm actually spending way less credits than I expected.
Eve St. Jude
Production workflow
Neural Analog has been a godsend to me and my workflow, such a game changer. I'm more thankful than words can express, I don't know what I would have done without it.
Eve
amazing!!!! love this! THANK YOU! I just discovered batch dl, this feature SAVED ME
Wow thank you so much i upscale videos and take out live recordings from music because of my autism i hate the crowd
It worked! Well done :) Many thanks :))))
Bjark
Easy to use and high quality results.
用 Neural Analog(声智模拟)改善 AI 音乐的音质
能。人类能听到 20 Hz 到 20 kHz 之间的频率。低质量的音频硬件(例如智能手机)可以轻松播放这些频率。
遗憾的是,听力会随着年龄增长和暴露于响亮声音而退化。例如,著名的超声波 "Mosquitone"(17.8kHz) 对年轻人来说清晰可闻,但成年人却出了名地难以听到。
然而,即使没有直接听到,高频内容对于音频的瞬态响应和"空间感"也至关重要,即使您没有意识地听到那个音高的正弦波,它也会影响您对质量的感知。
不,它不只是添加噪声。与叠加白噪声的增强器不同,生成式模型会通过将有用的谐波和瞬态结构与压缩伪影及其他退化分离开来,重建本应存在的干净信号。
快速修复音频示例
原始压缩片段
修复后的输出
如需更多示例,请打开 音频修复。
您可以在样本上免费修复音频。完整文件会消耗处理分钟数,因为修复需要运行 GPU 模型。您包含的处理分钟数会优先使用,然后是任何额外的处理分钟数。
套餐限制和包含的分钟数列在 定价页面 上。
有效。在将文件解码为音频信号后,修复可以作用于旧编解码器和低位深音频。结果取决于源文件中剩有多少可用信息。
用 音频修复 试一段短样本。对于复古游戏和音效素材,请参阅 UniverSR 音效指南。
支持。支持情况取决于模型。UniverSR、AudioSR 和 FlashSR 可将低分辨率音频升采样至 48 kHz(超分辨率)。'Music Upscaler' 修复算法会将 48 kHz 的源保持为 48 kHz,并将 44.1 kHz 或更低的源修复为 44.1 kHz。
有关模型级别的细节,请阅读 UniverSR 采样率指南,或在 修复文档 中比较各模型。
可以,你可以多次运行修复。你可以更改所选的 Source,对已修复的音频再运行一遍,批量导入还支持 'Iterative restoration' 开关,它会为每个文件选择最新的修复版本。
在 Studio 中,将修复后的版本选为源,然后再运行另一次修复。当结果的改善小于其引入的伪影时,就停止。
上传视频,改善语音,导出更干净的音频或更新后的 MP4。