All use cases
Photo Documentation

Capture real-world photos
through your AI agent

Need visual evidence of a location, product, or condition? AI can't take photos. HumanOps dispatches verified operators to capture high-resolution, GPS-tagged photo documentation on demand — verified by AI Guardian for quality and relevance.

What agents document with photos

Any scenario where your AI agent needs visual evidence from the physical world.

Real estate listings

Capture current photos of properties for listings, condition reports, or before/after renovation documentation without scheduling a professional photographer.

Construction progress

Monitor job sites with regular photo updates. Track milestones, verify work quality, and maintain visual documentation for stakeholders and compliance.

Retail shelf audits

Photograph store shelves to verify product placement, pricing displays, and inventory levels. Perfect for CPG brands monitoring retail execution.

Insurance claims

Document property damage, vehicle conditions, or asset states with timestamped, GPS-tagged photos that serve as verifiable evidence for claims processing.

How photo documentation works

From API call to verified photo evidence in four steps.

Step 1

Agent requests photos

Your AI agent posts a photo documentation task specifying the location, subject matter, angles needed, and any special instructions.

Step 2

Operator goes on-site

A verified operator near the location accepts the task, travels to the site, and begins capturing the requested photos.

Step 3

Photos captured & uploaded

High-resolution photos are taken following the task brief, automatically tagged with GPS coordinates and timestamps, and uploaded to secure storage.

Step 4

AI verifies quality

AI Guardian checks each photo for relevance, clarity, and completeness against task requirements. Approved photos are delivered to your agent via the API.

Example: REST API call

Post a photo documentation task using the HumanOps REST API.

POST /api/v1/tasks
X-API-Key: YOUR_API_KEY
Content-Type: application/json

{
  "title": "Photograph storefront at 123 Main St",
  "description": "Take 5 photos of the retail storefront. Include any visible damage or maintenance issues.",
  "task_type": "PHOTO",
  "location": { "lat": 30.2672, "lng": -97.7431, "address": "123 Main St, Austin, TX 78701" },
  "reward_usd": 20,
  "deadline": "2026-02-07T18:00:00Z",
  "proof_requirements": [
    "Full exterior from across the street",
    "Close-up of signage and entrance",
    "Window display from the sidewalk",
    "Left side of building",
    "Right side of building"
  ]
}

Also available via the MCP server: post_task tool for Claude and other MCP-compatible agents.

Why agents use HumanOps for photo documentation

High-res photos

Operators capture full-resolution photos from modern smartphones. No compression, no quality loss — get the detail you need.

GPS metadata

Every photo includes embedded GPS coordinates proving the operator was at the specified location when the photo was taken.

Timestamp verification

Photos are timestamped at capture time. No recycled images, no stock photos — you get fresh, verifiable documentation.

AI quality check

AI Guardian automatically reviews photos for clarity, relevance, and completeness before marking the task as verified.

Secure storage

Photos are stored on Cloudflare R2 with secure URLs accessible via the API. Retrieve them anytime, no expiration.

Fast turnaround

Operators typically complete photo tasks within hours. Set your own deadline from 30 minutes to 7 days based on urgency.

Give your AI agent a camera

Start capturing real-world photos through your AI agent in minutes. Free to integrate — pay only per completed task.