
PlacePack is a free browser-based tool and REST API for generating bulk placeholder image packs. Paste a list of dimensions, set colors, and download every image as a ZIP in seconds — no sign-up, no account required. Unlike other placeholder image services, PlacePack generates deterministic, labeled placeholders that never change between renders. This makes them safe to commit to your repo and use in Storybook stories, Playwright visual regression tests, Cypress fixtures, and CI/CD pipelines without flaky diffs. Key features: • Bulk generation — paste any number of sizes (one per line) and download them all as a single ZIP • Aliases and labels — use syntax like hero:1600x900 or avatar:200x200 to name each image • Retina support — add @2x or @3x multipliers for high-DPI assets • Per-size colors — override background and text color per image with hex values • Color themes — apply branded palettes (Dark, Indigo, Slate, Amber, and more) in one click • Three formats — PNG, SVG, and WebP; switch format globally or per session • 16 presets — Instagram, YouTube, Open Graph, email templates, favicons, responsive web breakpoints, Storybook, and more • Shareable URLs — encode your full configuration in a URL hash and share with teammates • REST API — GET /api/v1/{spec}.{format} for single images, POST /api/v1/pack for ZIP bundles; no authentication required, rate-limited to 30 req/min PlacePack is used by front-end developers seeding Storybook component libraries, designers filling Figma mockups with correctly-sized placeholders, QA engineers generating stable visual regression baselines, and DevOps teams automating fixture generation in CI without binary files in the repository.
PlacePack is a tool in the Media Processing category of a tech stack.
No pros listed yet.
No cons listed yet.
What are some alternatives to PlacePack?
OpenCV was designed for computational efficiency and with a strong focus on real-time applications. Written in optimized C/C++, the library can take advantage of multi-core processing. Enabled with OpenCL, it can take advantage of the hardware acceleration of the underlying heterogeneous compute platform.
It adds image processing capabilities to your Python interpreter. It provides extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities.
Cloudinary is a cloud-based service that streamlines websites and mobile applications' entire image and video management needs - uploads, storage, administration, manipulations, and delivery.
The universal multimedia toolkit.