Dixpic vs Hotpot AI Photo Restorer
Dixpic
dixpic.comHotpot AI Photo Restorer
hotpot.aiSide by side
| Figure | Dixpic | Hotpot AI Photo Restorer |
|---|---|---|
| Price from | $1.99/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 10 | 6 |
| Spec score · AI Photo Editors | 8.2 (#42) | 9.0 (#8) |
| Spec score · Photo editors | 7.8 (#66) | 8.6 (#29) |
| Commercial use | The homepage says paid plans include full commercial usage rights and free edits include a watermark. | The maker says free images are limited by a CC BY-NC license and directs commercial users to buy credits. |
| Free plan | Yes | Yes |
| Purpose | Dixpic edits uploaded photos from text instructions using AI. | Photo Restorer uses AI to reduce signs of wear and restore old black-and-white or color photographs. |
Plans
Dixpic
- Free planFree
- Starter$1.99 a month
- Standard$4.99 a month
- Pro$9.99 a month
- Studio$19.99 a month
- Free plan — dailyFree
- Starter$1.99, paid once
- Standard$4.99, paid once
- Pro$9.99, paid once
- Studio$19.99, paid once
Hotpot AI Photo Restorer
- FreeFree
- PremiumPrice not published
- FreeFree
- Credits$12, paid once
- APIPriced on request
- Commercial usePriced on request
In their own words
Hotpot AI Photo Restorer
Hotpot AI Photo Restorer uses AI to reduce wear in old black-and-white and color photographs. It is designed to reduce scratches, sharpen faded details, and enhance faces. Style references include natural, cinematic, vintage, Polaroid, classic color, and several black-and-white finishes. The workflow is to upload a scan or photograph, choose or describe a finish, review the result, and download a copy. Color enhancement, batch processing, API access, web use, and self-hosted deployment are listed. The free plan costs nothing and allows two images daily. Commercial use is billed at $0.02 - $0.25 per image; API access requires payment with pricing by contact. AI may invent details, especially in damaged or unclear images, and results may be weak for groups of more than two people.