Fal Vision
- 1.8k installs
- 82k repo stars
- Updated July 28, 2026
- nexu-io/open-design
Multi-modal vision API skill that performs object detection, OCR, segmentation, captioning, and visual QA on images via fal.ai models.
About
fal-vision integrates fal.ai vision models to perform multi-modal image analysis tasks including object detection, OCR, semantic segmentation, image captioning, and visual question answering. Developers use it during the build phase to add vision capabilities to agents and applications without managing model infrastructure. Key workflows include extracting structured data from images, automating visual inspection, and enabling conversational image understanding through agent planning.
- Object detection and semantic segmentation on images
- OCR for text extraction from images
- Image description generation and visual question answering
- Integrates with fal.ai community models via API
- Discoverable by agents via trigger phrases and skill catalog
Fal Vision by the numbers
- 1,756 all-time installs (skills.sh)
- +122 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Ranked #168 of 1,340 Generative Media skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
fal-vision capabilities & compatibility
- Capabilities
- object detection and bounding box generation · ocr and text extraction · semantic segmentation · image description generation · visual question answering
- Use cases
- image generation · debugging · data analysis
- Runs
- Remote server
- Pricing
- Bring your own API key
What fal-vision says it does
Analyze images — segment objects, detect, run OCR, describe, and answer visual questions via fal.ai vision models.
This catalogue entry advertises the skill in Open Design so the agent discovers it during planning.
npx skills add https://github.com/nexu-io/open-design --skill fal-visionAdd your badge
Show developers this skill is listed on Skillselion. Paste this into your README.
| Installs | 1.8k |
|---|---|
| repo stars | ★ 82k |
| Security audit | 2 / 3 scanners passed |
| Last updated | July 28, 2026 |
| Repository | nexu-io/open-design ↗ |
What it does
Analyze images to detect objects, extract text, segment regions, generate descriptions, and answer visual questions.
Who is it for?
Adding vision analysis to agents, automating image inspection tasks, enabling visual question answering in applications.
Skip if: Training custom vision models, real-time video processing, on-device inference without API calls.
When should I use this skill?
An agent needs to analyze an image, extract text, detect objects, describe visual content, or answer questions about images.
What you get
Agents can analyze images, extract text, detect objects, and answer visual questions by invoking fal-vision.
- Detected objects and bounding boxes
- Extracted text from images
- Image descriptions
By the numbers
- Supports 5 primary vision tasks: detection, OCR, segmentation, description, QA
Files
fal-vision
Curated from the fal.ai community team.
What it does
Analyze images — segment objects, detect, run OCR, describe, and answer visual questions via fal.ai vision models.
Source
- Upstream: https://github.com/fal-ai-community/skills
- Category:
image-generation
How to use
This catalogue entry advertises the skill in Open Design so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the upstream bundle into your active agent's skills directory:
# Inspect the upstream README for exact paths
open https://github.com/fal-ai-community/skillsThen ask the agent to invoke this skill by name (fal-vision) or with one of the trigger phrases listed in this skill's frontmatter.
Related skills
Remotion Best PracticesGet Remotion-specific coding guidance that prevents common video rendering mistakes when creating animated React videos.442k4.1k
Remotion RenderGenerate high-quality MP4 videos from React code using Remotion inside an AI coding agent.363k648Ai Video GenerationTurn written prompts into short videos using AI video generation models directly from Cursor or Claude.363k648Ai Avatar VideoGenerate short talking-head videos of custom AI avatars from text prompts.363k648Ai Image GenerationLet their coding agent generate, iterate on, and insert high-quality images directly into web apps, marketing assets, or product features.363k648
Video EditIntelligently route video editing requests to the best RunComfy model without trial-and-error.357k31How it compares
Use fal-vision for hosted multimodal image understanding in agents; pick dedicated CV pipelines when you need custom model training or offline inference at scale.
FAQ
What vision tasks does fal-vision support?
Object detection, OCR text extraction, semantic segmentation, image captioning, and visual question answering via fal.ai models.
How do agents discover and invoke fal-vision?
Agents discover it in Open Design catalog by name (fal-vision) or trigger phrases like 'image analysis', 'object detection', 'ocr image', 'visual qa'.
Is Fal Vision safe to install?
skills.sh reports 2 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.