PhotoSharpener review
A free browser-based enhancer with broad restoration tools and paid batch processing.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
PhotoSharpener is a browser-based AI image enhancement tool for individuals, marketers, e-commerce sellers, agencies, photographers, and content teams. It sharpens blurry images, reconstructs detail, upscales photos up to 4x with Real-ESRGAN, removes JPEG artifacts and noise, restores faces with GFPGAN, and handles old photos and scanned images. JPG, JPEG, PNG, and WebP files are supported, with enhanced images available for download.
The published offering starts with free web access and includes the core enhancement modes: sharpening, super-resolution, artifact cleanup, face restoration, and old-photo restoration. Pro and Studio plans are stated to add batch processing, which makes those tiers more relevant for teams or workflows involving multiple images. The product runs in the cloud and requires no installation, while URL-based image input can provide another way to bring images into the workflow.
Its strongest fit is for users who want several restoration functions in one browser tool rather than a narrowly focused sharpener. The comparison slider helps review the original and enhanced versions, while face restoration and scanned-image support extend its use beyond routine detail enhancement. PhotoSharpener is a practical choice for free web-based sharpening, restoration, and occasional upscaling. It is less suitable for workflows that require desktop software, or for teams that need batch processing without moving to a stated Pro or Studio tier.
PhotoSharpener pros and cons
- Where it wins
- Free browser access with no installation required
- Combines 4x upscaling, cleanup, and face restoration
- Before-and-after slider and URL-based image input
- Where it doesn't
- Web-only workflow with no desktop app
- Batch processing is limited to Pro and Studio plans
- Paid plan pricing and quotas are not stated
PhotoSharpener fact sheet, pricing and score →
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