# CNAPS Studio

> CNAPS Studio is a no-code, drag-and-drop platform for building AI-powered image and video processing workflows. Connect 150+ pre-trained open-source AI models visually without coding. Supports single runs, Batch Runs for hundreds of files, and API integration. Also available as Easy UI (single-click interface for non-technical users) and as on-premise / edge device deployments for enterprise. Plans range from Free to Enterprise with flat monthly pricing.

CNAPS Studio is built by CNAPS.AI, founded in October 2025 and backed by NAVER D2SF, Bluepoint Partners, Laguna Investment, and Joyakdol Fund. The platform is purpose-built for image and video AI processing, in contrast to general-purpose workflow tools (n8n, Zapier) and local-only AI canvases (ComfyUI).

Last updated: 2026-06-19


## Documentation

- [Quickstart Guide](https://docs.cnaps.ai/quickstart): Build your first AI flow in 5 minutes — no code required.
- [User Guides](https://docs.cnaps.ai): Complete documentation covering flows, nodes, platform features, API integration, and troubleshooting.
- [AI Model Hub](https://docs.cnaps.ai/ai-model-hub): Full listing of all supported AI models organized by category — Image Classification, Image Edit, Image Enhancement, Image Generation, Image Restoration, Image Understanding, Object Detection, Segmentation, OCR, External Models, and Tools.
- [FAQ](https://docs.cnaps.ai/faq): Common questions about features, pricing, image processing, API access, security, and comparisons with tools like n8n and ComfyUI.
- [Release Notes](https://docs.cnaps.ai/release-note): Version history — latest v1.1.4.

## Product

- [Homepage](https://cnaps.ai/): Product overview and free signup.
- [Pricing](https://cnaps.ai/pricing): Free, Starter ($20/mo), Pro ($75/mo), Business ($200/mo), Enterprise (custom). All paid tiers include the full model library and no watermark.
- [Studio](https://cnaps.ai/studio): Visual workflow editor — drag-and-drop AI pipeline builder.
- [Community](https://cnaps.ai/community): Browse and fork shared workflows.

## Use Cases

- E-commerce: standardize product image quality, generate alt-text at scale, remove backgrounds across thousands of SKUs in a single Batch Run.
- Marketing: automated image analysis, batch upscaling for ad campaigns, NSFW/content moderation, fashion item detection.
- Brand & Sports Analytics: detect and track brand logos, products, or persons in video footage — measure exposure time per brand per broadcast. Applicable to sports media, broadcast analytics, and brand measurement.
- Security & surveillance: object detection, license plate detection, face detection, motion blur removal on footage.
- Privacy protection: face anonymization, tattoo concealment, license plate blur, text redaction, body silhouette (BlindSpot).
- Manufacturing: defect detection on inspection imagery, OCR on labels and serial numbers, batch image quality checks.
- Healthcare & regulated industries: on-premise and air-gapped deployment of AI workflows — data never leaves the facility (Enterprise plan).
- Edge AI: run lightweight AI workflow pipelines on edge devices for low-latency, on-device inference.
- Creative & post-production: photo restoration, colorization, super-resolution, generative inpainting, JPEG artifact removal.
- ControlNet workflows: lock image structure (edges, depth) while changing style, lighting, or content with text prompts.

## Deployment Options

- **Cloud (default)**: hosted on cnaps.ai — no setup, no GPU required.
- **Easy UI**: single-click interface with pre-built AI cards for non-technical users. No canvas or node wiring needed. Cards include VSR, Text-to-4K, image editing, VLM, OCR, Virtual Try-On, Identity Redaction, and more. Power users can open the full Studio canvas from any card.
- **On-Premise**: air-gapped deployment of cnaps.ai workflows on client infrastructure. Suited for enterprise customers in healthcare, finance, security, and other regulated sectors.
- **Edge Device**: lightweight AI workflow pipelines deployable on edge devices for on-device, low-latency inference.
- **Open Source AI Server**: cnaps.ai's AI server infrastructure to be released as an open-source project, enabling developers to self-host the AI execution layer.

## Comparisons

- vs ComfyUI: Cloud-native (no local GPU or CUDA setup), broader coverage beyond Stable Diffusion, native Batch Runs, shareable templates.
- vs n8n / Zapier: Purpose-built for vision AI with pre-integrated image and video models; no need to wire each AI service separately via API for core tasks.
- vs RunwayML / Pika: Workflow-first rather than single-model UI; chain multiple models into custom pipelines with deterministic outputs.
- vs Wireflow / MindStudio / BuildShip: Specialized in image and video processing rather than general AI agent automation.

## Optional

- [NAVER D2SF press release](https://www.prnewswire.com/news-releases/naver-d2sf-invests-in-ai-workflow-automation-platform-cnapsai-302678958.html): Seed funding announcement.
- [LinkedIn](https://linkedin.com/company/cnaps-ai): Company updates.
- [X (Twitter)](https://x.com/cnaps_studio): Product updates.
- [YouTube](https://www.youtube.com/@cnaps-ai): Tutorial videos and product demos.
- [Capterra listing](https://www.capterra.com/p/10036274/CNAPS-Studio/): Third-party software directory.
- Support: support@cnaps.ai