Gigapixel AI by Topaz Labs is the professional standard for photo upscaling, boosting resolution up to 6x with realistic detail.
Gigapixel AI specializes in enlarging images while reconstructing believable texture — faces, foliage, feathers, and architecture come out sharp rather than smeared. It runs as desktop software on Windows and Mac, with specialized AI models for portraits, landscapes, and low-resolution graphics. Professionals use it to rescue crop-heavy shots, prepare prints, and upscale archival images. Recent versions add generative refinement models that reconstruct detail lost to compression.
Gigapixel AI is sold as a one-time purchase or within the Topaz Image Quality bundle, with a free trial available. Upgrades to major new versions may carry a fee.
Professional photographers, print shops, and archivists who need reliable, high-quality enlargements offline.
Print shops enlarge crops for large-format posters. Wildlife photographers rescue distant-subject shots. Archivists digitize and upscale historical photos, and studios prepare low-res concept art for presentation boards.
Choose the model matching your subject (face, landscape, architecture) instead of the generic one, and upscale in two moderate steps for extreme enlargements.
Professionals usually run Gigapixel as the final step: correct exposure and color first, then enlarge. Photoshop and Lightroom plugins keep it inside existing editing pipelines, and batch mode handles overnight processing of large archives. Because everything runs locally, confidential client material never leaves the machine — a decisive advantage for studios with strict privacy requirements.
No, it is paid desktop software with a free evaluation trial.
Topaz provides an API for its image quality models aimed at enterprise workflows.
It leads on local, offline upscaling quality; Magnific adds generative detail at higher cost.
Partly — it sharpens and reconstructs detail, but severe motion blur is better addressed with Topaz Sharpen AI first.
Yes, Gigapixel leverages local GPU acceleration and runs fully offline.
Up to 6x in a single pass, with larger results achievable through repeated passes.
Yes, batch mode processes entire folders with per-image model selection.
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