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SeedVR2 vs Surveillant Forensic Video Enhancement

SeedVR2

github.com

Surveillant Forensic Video Enhancement

surveillant.ai

Side by side

FigureSeedVR2Surveillant Forensic Video Enhancement
Price fromFree$49/mo
Free planYes—
Free trial—Yes
Open source——
Web—Yes
WindowsYes—
macOSYes—
LinuxYes—
iOS—Yes
Android—Yes
API—Yes
Self-hostedYesYes
Plans published15
Spec score · AI Video Restoration Software8.1 (#9)7.9 (#14)
PurposeSeedVR2 is a one-step diffusion-transformer model for video restoration at any resolution.The product uses AI to clarify blurry images, recover low-light details, and sharpen surveillance footage for investigations and legal proceedings.
SecurityA release note says model loading was restricted to tensor-only deserialization to prevent code execution from malicious .pth files.The trust page states that traffic uses TLS, stored video and database volumes are encrypted at rest with AES-256, and role-based access control is in place.
SupportThe repository invites questions by email at [email protected].Pricing lists tier-based SLA support for subscribers, priority support on Pro, and 24/7 dedicated support on Elite.

Plans

SeedVR2

  • SeedVR2Free

SeedVR2 pricing →

Surveillant Forensic Video Enhancement

  • Starter$49 a month
  • Plus$149 a month
  • Pro$449 a month
  • Elite$1,499 a month
  • EnterprisePriced on request

Surveillant Forensic Video Enhancement pricing →

In their own words

SeedVR2

SeedVR2 is an open-source model for restoring video at arbitrary resolutions, with a one-step diffusion-transformer approach that does not add a separate diffusion prior. Its official ComfyUI release can upscale both video and images and provides four nodes to control the pipeline. A standalone command-line interface supports batch and multi-GPU workflows. Inputs may be RGB or RGBA images and video; the documented model choices are 3B and 7B, with FP16, FP8, and quantized GGUF options. Model offloading, VAE tiling, and BlockSwap are available to manage memory during inference. The research describes adaptive window attention, which adjusts window size to output resolution, and adversarial post-training for high-resolution restoration. Standalone installation instructions cover Windows, macOS, and Linux, including Apple Silicon MPS support. Input height and width must be multiples of 32, and the demo crops resized inputs to meet that constraint. SeedVR2 is licensed under Apache 2.0, and released inference code and model weights are linked from the repository. The plan is free.

Visit github.com

Surveillant Forensic Video Enhancement

Surveillant Forensic Video Enhancement uses AI to improve surveillance footage for investigations, insurance claims, and legal proceedings. Its tools include super-resolution, frame averaging, low-light enhancement, stabilization, deblurring, and defogging. It records timestamps, algorithm parameters, and operator identification for enhancement operations, and can produce court-ready reports. Listed inputs include H.264, H.265, MJPEG, MPEG-4, MP4, AVI, MKV, proprietary DVR formats, RTSP sources, and exports from major VMS platforms. The maker estimates two to five minutes to process a typical 30-second clip with standard enhancement; batch processing is available. RTSP and ONVIF support and compatibility with several NVR systems are listed. A one-time demo can analyze one video or live camera feed up to five minutes without a credit card; another offer describes two clips daily, up to two minutes each, after email confirmation. Starter costs $49 a month per camera, billed monthly. Subscriptions include native iOS and Android apps. Admissibility depends on jurisdiction and proceeding, so the maker recommends consulting legal counsel.

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