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SPECIFICTION
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Pollo AI vs REAL Video Enhancer

Pollo AI

pollo.ai

REAL Video Enhancer

github.com

Side by side

FigurePollo AIREAL Video Enhancer
Price from$15/moFree
Free planYesYes
Free trial——
Open source——
WebYes—
Windows—Yes
macOS—Yes
Linux—Yes
iOSYes—
AndroidYes—
APIYes—
Plans published62
Spec score · Video Upscaling Software8.9 (#5)8.0 (#18)
SupportThe company lists support by email and provides a Singapore office address.The project links to a Discord community and offers support through GitHub issues.

Plans

Pollo AI

  • FreeFree
  • Lite$15 a month
  • Pro$29 a month
  • Ultra$129 a month
  • Pollo AI FreeFree
  • Pollo AI API top-up$1,200, paid once

Pollo AI pricing →

REAL Video Enhancer

  • REAL Video EnhancerFree
  • Steam donation DLC$2.99, paid once

REAL Video Enhancer pricing →

In their own words

Pollo AI

Pollo AI is a video-generation service from a maker headquartered in Singapore. It supports text-to-video and image-to-video generation, AI avatars, API access and commercial use. The listed maximum resolution is 4K, and the maximum video length is 0.5. Pollo AI offers a free plan at free, billed monthly, with limited free credits and watermarked output. Paid plans are also billed monthly. Lite costs $15 a month and includes 400 credits, two parallel tasks and no watermark. Pro costs $29 a month with 800 credits, three parallel tasks and no watermark. Ultra costs $129 a month for 5,000 credits, six parallel tasks, no watermark and faster generation speed. The listed platform is API, so the service can be considered where programmatic access is required. The tier structure centers on credit allowance, simultaneous task capacity, watermark removal and, at Ultra, generation speed. Commercial-use support is listed across the service.

Visit pollo.ai

REAL Video Enhancer

REAL Video Enhancer is a free application for video interpolation, upscaling, decompression, and denoising on Linux, macOS, and Windows. Interpolation models include RIFE, GMFSS, and IFRNet; the project gives 24-to-48-FPS conversion as an example. Upscaling options include SPAN, OpenProteus, AnimeJaNai, AniSD, and AnimeSR, while DeH264 is listed for decompression and DRUnet and DnCNN for denoising. Scene-change detection helps preserve sharp transitions, and the app previews the latest rendered frame. Compute options include TensorRT for NVIDIA RTX GPUs, PyTorch for CUDA 12.6- or ROCm 6.2-capable GPUs, and NCNN for Vulkan 1.3-capable GPUs. Listed minimums include a dual-core x64 CPU, Vulkan 1.3-capable GPU, and 16 GB RAM; NCNN also requires 4 GB VRAM and 1 GB free storage. TensorRT optimization can fail with limited VRAM; CUDA or NCNN are suggested alternatives. The project is AGPL-3.0 licensed. A Steam donation DLC costs $2.99, paid once and contains no content.

Visit github.com