# AfterShoot

**Canonical:** https://apis.io/providers/aftershoot/  
**Website:** https://aftershoot.com/  
**APIs profiled:** 0

Aftershoot is a Techstars-backed company building desktop AI software for professional photographers that automates the post-shoot workflow. Its applications cull large photo sets by detecting duplicates, blinks, blur, and composition to pick the best frames, apply personalized AI editing that learns a photographer's style, and perform AI retouching, plus tools for building client galleries and selects. Aftershoot integrates with Adobe Lightroom Classic and Capture One and runs locally on macOS and Windows. There is no public web API, developer portal, or OpenAPI surface; the public code presence is internal Rust/Kotlin tooling on GitHub.

## Kin Score — 17.0 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 17.0).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 7.9 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 38.2 |
| Access Clarity | 38.2 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Aftershoot Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Tags

Company, Photography, Artificial Intelligence, Machine-Learning, Image Processing, Photo Culling, Photo Editing, Retouching, Desktop Software, Creative Tools

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/aftershoot/). Scores are computed from the provider's own public artifacts under a published rubric.