fal-vision

Analyze and understand images using fal.ai vision models — segmentation, detection, OCR, captioning, and visual QA.

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Install skill "fal-vision" with this command: npx skills add fal-ai-community/skills/fal-ai-community-skills-fal-vision

fal-vision

Analyze and understand images using fal.ai vision models — segmentation, detection, OCR, captioning, and visual QA.

Scripts

Script Purpose

analyze.sh

Analyze an image (segment, detect, OCR, describe, QA)

Usage

Segment Objects

./scripts/analyze.sh --image-url "https://example.com/photo.jpg" --operation segment --query "the red car"

Detect Objects

./scripts/analyze.sh --image-url "https://example.com/photo.jpg" --operation detect

Extract Text (OCR)

./scripts/analyze.sh --image-url "https://example.com/document.jpg" --operation ocr

Describe Image

./scripts/analyze.sh --image-url "https://example.com/photo.jpg" --operation describe

Visual QA

./scripts/analyze.sh --image-url "https://example.com/photo.jpg" --operation qa --query "How many people are in this image?"

Arguments

Argument Description Required

--image-url

URL of image to analyze Yes

--operation

segment, detect, ocr, describe, qa Yes

--query / -q

Text prompt for segment/qa operations For segment/qa

--model / -m

Override model endpoint No

Finding Models

To discover the best and latest vision/analysis models, use the search API:

Search for segmentation models

bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "segmentation"

Search for object detection models

bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "object detection"

Search for OCR models

bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "ocr"

Search for image captioning / visual QA models

bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "caption" bash /mnt/skills/user/fal-generate/scripts/search-models.sh --query "visual question"

Or use the search_models MCP tool with keywords like "segmentation", "detection", "ocr", "caption", "vision".

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