Topaz Gigapixel vs VisionSR

Topaz Gigapixel

Figure	Topaz Gigapixel	VisionSR
Price from	$1/mo	—
Free plan	—	—
Free trial	—	—
Open source	—	—
Web	Yes	Yes
Windows	Yes	Yes
macOS	Yes	—
Linux	—	Yes
iOS	Yes	—
Android	Yes	—
API	Yes	Yes
Self-hosted	—	Yes
Plans published	12	0
Spec score · Image Upscaling Software	8.9 (#8)	7.9 (#54)
API	Topaz publishes an image enhancement API with an Enhance endpoint, API-key authentication, model selection, output sizing, format selection and face-enhancement parameters.	The HTTP API includes image analysis, enhancement jobs, live progress events over SSE, and job results.
API access	Yes	Yes
Batch processing	Batch size is limited by the computer's available resources, with large batches needing more GPU memory and processing power.	Yes
Desktop app	Yes	Yes
Integrations	Official plugins are provided for Lightroom Classic and Photoshop; Capture One, Affinity and Apple Photos are not supported plugins.	The README documents PyTorch, ONNX Runtime, DirectML, and OpenVINO as supported inference backends.
Intended users	The maker describes it for professional photographers, fine artists, designers, illustrators, and creative teams.	The project describes a 4 GB laptop GPU as its design target and includes model paths for photographs, portraits, scans, and line art.
Purpose	Topaz Gigapixel is a desktop application that enlarges images and photos while aiming to preserve detail and quality.	VisionSR is an AI super-resolution engine for image upscaling, restoration, face recovery, and detail reconstruction.
Upscaling method	ai	ai

No plans published.

Topaz Gigapixel has no write-up on Specifiction yet; its figures are above.

VisionSR has no write-up on Specifiction yet; its figures are above.