AI Photo Restorer — every model, compared

Google's Gemini 2.5 Flash applied to photo restoration. Fast turnaround for casual restoration jobs — scratch removal, color correction on faded photos, light damage repair — with strong identity preservation across the restored image. Cheaper than Nano Banana 2 or Pro and well-suited to high-volume restoration where archival fidelity isn't required.

Google's Gemini 3.1 Flash for high-fidelity photo restoration. Removes damage and noise with exceptional identity preservation — faces stay recognizable, color grading stays natural, fine detail comes back without invented features. Top 5 on the Artificial Analysis image-editing arena. Strong default for production restoration work.

Google's flagship for premium photo restoration. Magazine-quality manipulations with archival-grade fidelity — faces, fabrics, fine detail all recover without inventing implausible features. Top 3 on the image-editing arena. Reach for it on family-archive hero pieces, photo books, and any restoration where the result is going into print.

ByteDance Seedream 4 applied to restoration. Stylized photo recovery with cinematic mood preservation — useful for fashion archives, music-video-era stills, and atmospheric vintage photo treatment where you want to keep the original feel rather than aim for documentary realism.

ByteDance Seedream 4.5 for premium restoration. Rich color recovery and cinematic mood preservation — well-suited to editorial archives, fashion shoot recoveries, and any restoration where preserving the source's stylistic intent matters more than literal fidelity. Top of the Seedream restoration lineup.

Lower-cost Seedream restoration tier — same cinematic aesthetic at faster iteration speeds. Built for batch archival workflows and high-volume restoration where credit cost matters. The built-in reasoning means it handles tricky inputs (heavily damaged sources, unusual subjects) better than other budget tiers.

Fast Flux Kontext for restoration. Lower cost and faster turnaround on instruction-driven restoration — describe damage in plain English, the model handles the rest. Best for high-volume archival workflows where Flux Kontext Pro's quality isn't worth the per-image cost difference.

Black Forest Labs' production-grade instruction-based editor applied to restoration. Describe damage in plain English ('remove scratches', 'restore faded color', 'sharpen the blur') and get clean results that preserve the original character. Strong identity and lighting consistency makes it reliable for archival work.

The premium Flux Kontext tier for archival restoration. Improved typography handling helps with old documents and signage; stronger scene understanding handles complex multi-issue damage where Pro's outputs miss the mark. Reach for it on archival hero pieces and document restoration that warrants the cost.

Open-weight Flux 2 in restoration mode. Lightweight Flux 2 quality at a lower cost than Pro or Max — practical for self-hosted archival pipelines and high-volume restoration where the Flux 2 aesthetic matters but flagship pricing doesn't fit.

Flux 2 Pro applied to restoration. Production-quality vintage photo recovery with stylistic preservation — useful when you want the recovered image to retain a deliberately stylized feel rather than aim for documentary realism. Sits below Flux 2 Max on top-end fidelity at better cost-quality.

The highest-fidelity Flux 2 restoration tier. Magazine-grade recovery for archival hero pieces with art-directed control over the restoration treatment. Reach for it on family heirlooms, photo book covers, and any restoration headed for print where the cost per image is justified by the output.

OpenAI GPT Image 2 budget restoration tier. Cheapest GPT Image 2 option for quick restoration — strong text-handling carries through to old documents and signage, useful even at the low tier. Good for high-volume archival workflows where the medium or high tier isn't justified.

OpenAI GPT Image 2 mid-tier for restoration. Industry-best text rendering carries through to archival document recovery — old letters, signage, and newspapers all reconstruct legibly where most restoration models fail. The default for production-quality archival when high-tier pricing isn't justified.

OpenAI GPT Image 2 at maximum quality for archival restoration. Highest text rendering accuracy in any image model, exceptional fine-detail recovery, and top-tier instruction adherence. The premium choice for hero archival pieces, document restoration, and any restoration work where every detail counts.

Alibaba's Qwen Edit applied to photo restoration. Open-weight, with multilingual text rendering strength that helps when restoring old Chinese, Japanese, or Korean documents where Western models can't read the source — let alone reconstruct it. Specialized but strong in its niche.

The newer release of Alibaba's Qwen Edit applied to restoration. Improved fidelity over the original with stronger stylistic control. Best open-weight option for stylized Asian-aesthetic restoration and multilingual document recovery.