Tell Frame Copilot what you're creating, where text sits, and the mood. It evaluates negative space calmness, palette harmony, and your taste DNA to curate genuinely usable stock photos.
"Hero image for a remote-work burnout article. Dark, editorial, with clean headline space on the left."
Why curated: Somber obsidian tones match the brief. The left third provides 88% flat negative space for typography without colliding with the laptop subject.
Why curated: Overhead minimalist perspective eliminates posed clichés. Clean dark desk space yields high contrast for headlines.
Why curated: Deep studio chiaroscuro lighting creates authentic mood without melodramatic stock posing.
You don't need 10,000 generic search results. You need 3–5 curated, layout-ready images that fit your layout and brand aesthetic.
Explore how Frame Copilot automatically balances subject prominence, color harmony, and negative space across different creative formats.
Tactile metallic fluid shapes with deep gradient falloff for hero headers and landing pages.
Photo by Google DeepMind on UnsplashUncluttered wooden surfaces with open journals for newsletters, longform essays, and books.
Photo by Andrew Neel on UnsplashDramatic skyscraper convergence framing a vast overcast sky zone for book covers and posters.
Photo by Scott Webb on UnsplashSculptural lighting with deep velvet shadows designed specifically for stark white serif typography.
Photo by Aiony Haust on UnsplashAnyone can wrap a search API. Frame Copilot sells the art director's eye: intent parsing, composition physics, and visual memory.
Understands what the image is for. Infers emotional tone, lighting constraints, aspect ratio, and negative space requirements from natural language.
Computes region standard deviation and luminance across 5 zones directly from blurhashes. Guarantees flat, legible room for headlines without model inference costs.
Accumulates per-user visual taste. Remembers preferred aesthetics, brand colors, and automatically suppresses cliché handshakes or stiff stock scenes.
A frictionless 4-step art-direction pipeline that respects your time and design system.
Prompt with context: where headline text sits, the desired mood, and aspect ratio.
Frame Copilot decodes Blurhash matrices to measure standard deviation across 5 layout zones.
5-factor scoring balances semantic relevance, overlay space, palette harmony, and your taste DNA.
1-click download with automatic photographer UTM credit and ToS-compliant download tracking.
Type any brief or pick a preset to see real-time composition analysis, headline safe-zone overlays, and curated photo recommendations.
Curated with 92% negative space calmness.
No black-box mystery. Frame Copilot generates clear editorial reasoning for every choice, referencing your brief, palette harmony, and layout coordinates.
Every photo you select or reject refines your personal Bayesian taste weights. Within days, Frame Copilot predicts your visual style with high accuracy.
Learns automatically from your natural choices and rejections.
Lock in your hex codes for automated palette filtering.
Permanently suppress forced smiles, stock handshakes, and cheesy setups.
Built on the open Model Context Protocol (MCP). Connect it directly to Claude Desktop, Cursor, ChatGPT, or VS Code.
{
"mcpServers": {
"frame-copilot": {
"command": "npx",
"args": ["-y", "frame-copilot-ai"]
}
}
}
Here is the top curated pick with 88% calm negative space on the left:
You pay for visual judgment and workflow speed—not image downloads.
Try the visual judgement layer for personal projects.
For active creators, marketers, designers and writers.
For creative agencies, studios and marketing teams.
Describe the visual. Let Frame Copilot handle the art direction.