> ## Documentation Index
> Fetch the complete documentation index at: https://docs.repli5.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Welcome to Repli5

> Enterprise generative AI platform for high-fidelity vision data augmentation, defect synthesis, and Sim-to-Real transformation.

Repli5 is an enterprise generative AI platform for high-fidelity vision data augmentation, designed to accelerate the development of downstream models for classification, segmentation, and multi-modal detection. By bridging the gap between simulation and reality, Repli5 enables engineering teams to generate production-ready training data using a combination of natural language and technical configurations, all while maintaining absolute ground-truth adherence.

## Core Workflows

> [card] [Defect Generation](https://docs.repli5.com/workflows/defect-generation.md)
>
> Synthesize realistic, localized surface defects (scratches, dents, tears, wrinkles) onto defect-free (`OK`) part images with automatic COCO masks and 2D bounding boxes.

> [card] [Variation Generator](https://docs.repli5.com/workflows/variation-generator.md)
>
> Transform object colors, surface materials, and lighting in close-up photos while preserving existing geometry, corner wear, and surface defects.

> [card] [Sim-to-Real & Real-to-Real](https://docs.repli5.com/augment.md)
>
> Generate photorealistic weather, time-of-day, and environmental variations across synthetic simulation images or real-world datasets while preserving 2D/3D ground truth.

> [card] [Quality Evaluation & Review](https://docs.repli5.com/workflows/quality-evaluation.md)
>
> Inspect automated rubric scores, approve or reject generated samples, and regenerate individual images in-place.

***

## Who Repli5 Is For

Repli5 is built for **ML Engineers and Computer Vision teams** who have outgrown the limitations of manual data collection and human labeling:

* **Quality Inspection & Manufacturing Teams:** Synthesizing balanced defect datasets with pixel-accurate COCO segmentation masks and bounding boxes.
* **Perception Engineers:** Building high-fidelity datasets for classification, segmentation, and 2D/3D detection.
* **Simulation Specialists:** Bridging the **Sim-to-Real gap** (transforming simulation images into photorealistic training assets).
* **Enterprise AI Teams:** Scaling edge-case scenarios while maintaining full ownership and security of their data stack.

## Where to Go Next

> [card] [Quick Start](https://docs.repli5.com/quick-start.md)
>
> Sign up, augment your first dataset, add it to your Data Library, and download it in under 10 minutes.

> [card] [Platform Overview](https://docs.repli5.com/over-view.md)
>
> Explore the Dashboard, Data Library, Marketplace, and Augment workspaces.


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