HeadshotPro vs New API
Side-by-side comparison · Updated October 2026
| Description | HeadshotPro creates AI headshots from uploaded selfies for LinkedIn profiles, personal websites and company directories. Choose backdrops and outfits, review the generated images, then use photo credits to edit details and download the files. Individual shoots are one-time purchases: Basic costs $29 for 30 headshots, Professional $39 for 50, and Executive $59 for 70. Turnaround depends on the package: HeadshotPro lists about two hours for Basic, 30 minutes for Professional and 15 minutes for Executive. Executive includes 4K downloads; Professional and Executive include a free redo within 14 days. Team buyers use a separate credit system with shared style controls, invitations and bulk downloads. Choose based on the number of people, editing allowance and output resolution you need. | 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 Generation | Developer Tools |
| Rating | No reviews | No reviews |
| Pricing | Paid | Open Source |
| Starting Price | $29 | N/A |
| Plans |
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| Use Cases |
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| Tags | professional headshotsremote teamsAI-generated headshotsphotos | AI gatewayLLM routingmodel managementrate limitingusage accounting |
| Features | ||
| 30, 50, or 70 AI headshots per individual package | ||
| Approximate turnaround from 15 minutes to 2 hours by package | ||
| Thousands of backdrop and outfit combinations | ||
| Edit backdrops, outfits, blemishes, and headroom after generation | ||
| High-resolution JPEG downloads with optional 4K upscale on Executive | ||
| LinkedIn and profile-picture cropping tools | ||
| One-time individual purchase; team credits do not expire | ||
| 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 HeadshotPro | View New API | |
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