SnapWeaver

What Is SnapWeaver?

SnapWeaver is a lightweight yet powerful image‑processing toolchain designed for rapid experimentation, creative exploration, and automated batch editing. Drawing inspiration from modern non‑destructive editors, SnapWeaver combines an intuitive graphical interface with a fully scriptable command‑line engine. Whether you are polishing marketing banners, prototyping UI mock‑ups, or simply weaving quirky social‑media posts, SnapWeaver makes image manipulation effortless.

Why SnapWeaver Exists

• Speed First – Local inference pipelines ensure edits appear instantly, even offline.
• Consistency – Save repeatable recipes that guarantee uniform branding across large batches.
• Collaboration – Share live editable files (.weave) with teammates without flattening layers.
• Automation – Expose every action as a CLI verb for CI/CD or headless rendering.

Key Features at a Glance

• Layered Node Graph: Combine traditional layers with node‑style dependencies for ultimate flexibility.
• AI Filters: Built‑in style‑transfer, upscaling, background removal, text‑to‑image, and in‑painting.
• Smart Presets: One‑click export rules for every social network’s aspect‑ratio du jour.
• Version Snapshots: Roll back or fork edits without bloated PSD files.
• Extensible: Plugin SDK (Python & TypeScript) lets you ship new tools in minutes.

Common Use‑Cases

SnapWeaver was built to slot neatly into diverse workflows:

1. Content creators compress filming schedules by generating thumbnails directly from raw frames.
2. Design teams prototype branding concepts via shared cloud projects.
3. QA engineers auto‑redact PII in screenshot suites before publishing bug reports.
4. Academic researchers pre‑process image datasets with reproducible scripts.

Quickstart

Below is a taste of SnapWeaver. Full installation & troubleshooting live in their own docs.

1 · Launch the App

Run the desktop application or fire the CLI. The UI opens to an empty canvas awaiting your first masterpiece.

2 · Import an Image

snapweaver open cat.jpg

This command nests cat.jpg in Layer 0 and exposes it in the node graph.

3 · Apply an AI Filter

snapweaver apply --filter "dreamscape" --strength 0.7

The UI updates instantly; a new node appears representing the stylised output.

4 · Export

snapweaver export --preset instagram-square --output cat‑dream.jpg

And you’re done – cat‑dream.jpg is sitting in your working directory, algorithmically fabulous.

What’s Next?

This introduction barely scratches the surface. Up next you’ll learn how to:

• Install SnapWeaver on macOS, Windows, and Linux.
• Create custom recipes and batch pipelines.
• Debug and profile large node graphs.

Jump to the Installation Guide whenever you’re ready.