AI Photo Restorer vs New API
Side-by-side comparison · Updated October 2026
| Description | AI Photo Restorer is a revolutionary online tool designed to revive and enhance old and damaged photographs using advanced AI technology. With the ability to repair faded, discolored, and scratched photos, AI Photo Restorer brings your cherished memories back to life, ensuring they are preserved for future generations. This tool supports various formats like JPEG, PNG, and TIFF, and offers features such as automated photo repair, facial recognition, privacy protection, and upscaling up to 4x resolution. Ideal for both professionals and general users, AI Photo Restorer is the ultimate solution for photo restoration. | New API is a self-hosted AI gateway and model-management project maintained in the QuantumNous repository. It brings provider channels, access tokens, model restrictions, usage statistics and cost accounting into one interface. Teams supply their own authorized model-provider access and operate the gateway in their chosen environment. The gateway supports several API formats, including OpenAI-compatible requests, Claude Messages and Google Gemini. Compatibility has boundaries: the README marks Gemini-to-OpenAI conversion as text-only without function calling, and OpenAI-compatible to Responses conversion as in development. Test the exact endpoints, streaming behavior and tool calls your application uses before switching traffic. Routing features include weighted channel selection, automatic retry after failures and user-level model rate limits. The dashboard supports request-based, usage-based and cache-hit cost accounting, with token grouping and model-access controls. These controls can help organize usage, but retries and a common API format do not guarantee uninterrupted service or identical behavior across providers. The current repository license is AGPLv3. Docker Compose is the recommended quick-start path in the README, which also documents Docker commands with SQLite or MySQL. Running the software still involves infrastructure, operations and upstream model charges. Review the current license, secure your deployment and validate accounting against provider bills. Compare LiteLLM if you also want a Python SDK or a documented gateway for MCP servers and agents. |
| Category | Image Improvement | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Free | Open Source |
| Starting Price | Free | N/A |
| Plans |
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| Use Cases |
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| Tags | photo restorationold photosdamaged photosAI technologyrepair faded photos | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| Fully automated photo repair | ||
| Enhanced image quality | ||
| Supports JPEG, PNG, TIFF formats | ||
| Facial recognition | ||
| Privacy protection | ||
| Upscaling up to 4x resolution | ||
| User-friendly interface | ||
| Comparison of restored photos side by side | ||
| Free trial available | ||
| Partnership with PROHEADSHOT.IO for professional headshots | ||
| Self-hosted AI gateway and model management | ||
| Provider channels, token groups and model restrictions | ||
| OpenAI-compatible, Claude Messages and Gemini format support | ||
| Documented limits on protocol conversion | ||
| Weighted channel selection and failure retries | ||
| User-level model rate limiting | ||
| Request, usage and cache-hit cost accounting | ||
| Docker Compose deployment documentation | ||
| View AI Photo Restorer | View New API | |
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