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Cognitech Video Investigator vs Klarity

Cognitech Video Investigator

cognitech.com

Klarity

github.com

Side by side

FigureCognitech Video InvestigatorKlarity
Price from$116.58/moFree
Free plan—Yes
Free trial——
Open source——
WebYes—
WindowsYesYes
macOSYes—
LinuxYesYes
Plans published21
Spec score · AI Video Restoration Software8.2 (#8)7.6 (#18)
System requirementsWeb login supports Windows 7/8/8.1/10/11, Mac OSX and Linux; desktop login supports Windows 10/11, with at least 5 Mbps download and 1 Mbps upload.The README lists minimum requirements of a 2-core CPU, 4 GB RAM, and 2 GB storage; CPU processing works without a GPU.

Plans

Cognitech Video Investigator

  • Video Investigator Cloud$1,399 a year
  • Video Investigator 64 / TriSuite64Priced on request

Cognitech Video Investigator pricing →

Klarity

  • KlarityFree

Klarity pricing →

In their own words

Cognitech Video Investigator

Cognitech Video Investigator has no write-up on Specifiction yet; its figures are above.

Visit cognitech.com

Klarity

Klarity is a free desktop tool for restoring images and videos locally and offline on Linux and Windows. Its modes include denoising, deblurring, upscaling, cleaning and full restoration, along with frame generation and related clean-frame and full-frame options. It supports JPG, JPEG, PNG, BMP, TIFF, TIF and WebP images, and MP4, AVI, MOV, MKV, WebM, FLV, WMV and M4V videos. Video processing requires FFmpeg. Users can work through a graphical interface or interactive and direct command-line modes. Heavy mode downloads about 888 MB of models; Lite downloads about 204 MB and is described as 20x faster. The listed minimum requirements are a 2-core CPU, 4 GB RAM and 2 GB storage, and CPU processing works without a GPU. AI models download on first use. Klarity uses NAFNet for denoising and deblurring, Real-HAT-GAN or Real-ESRGAN for upscaling, and RIFE for frame generation. The repository lists an MIT license for Klarity and separate licenses for model components. CPU-only desktop binaries are listed for Linux x86_64 and Windows x86_64.

Visit github.com