Asset QA Automation for Founders: 30‑Minute Scripts to Verify Screenshots, Metadata, and JSON‑LD Before You Publish

Before any publish, run a fixed set of checks that catch the mistakes reviewers and platform tooling flag most often. These are practical, automatable checks that take under 30 minutes to implement in Node or Python and seconds to run in CI.

The 10 checks below cover three asset types (screenshots, textual metadata, and JSON‑LD). They focus on format, size, localization consistency, and simple copy/grammar traps that block or diminish a launch.

Below is a compact Node.js script sketch (explainable and ready to extend) that runs file checks for screenshots, simple metadata validations, and JSON‑LD syntax + schema checks. It uses sharp for image metadata, ajv for JSON schema checks, and node-fetch for fetching JSON‑LD from a URL. Drop it into a repo and wire it to your CI job.

This is intentionally minimal so you can copy it into a file (qa.js) and run: node qa.js --assets ./build/assets --metadata ./build/metadata.json --url https://example.com/app-page

If your build tooling is Python‑based, use a short script that leverages Pillow for images and the jsonschema package for schema enforcement. For JSON‑LD, pull the block from HTML and validate syntax with a JSON‑LD library or send it to a validator like the Schema Markup Validator to catch subtle context and type issues.

Local validation tools help during development: the Schema Markup Validator (validator.schema.org) and the JSON‑LD playground are good fast checks, but include automated schema assertions in CI to prevent ‘works on my machine’ passes.

Add the Node or Python QA job as a blocking step before packaging and any upload tasks to App Store Connect or Play Console. If the QA script exits non‑zero on any failed check, the pipeline should halt and post the artifact locations of offending files in the job output for quick fixes.

Practical CI tips: run image checks on a matrix of locales only when those locale directories changed; cache node_modules or pip dependencies; and upload artifacts (failed screenshots, JSON diff) so designers and PMs can download the exact failing assets from CI.

Quick pre‑publish checklist you can tape to your workflow: 1) run QA scripts, 2) open any JSON‑LD in the Schema Markup Validator, 3) spot‑check top two screenshots on mobile and tablet, 4) verify localized metadata strings, and 5) re-run after packaging to ensure no CI step altered filenames.

Edge cases to watch: platform tooling sometimes accepts one size and scales it—don’t rely on that for creative crops; some locales require additional screenshots (right‑to‑left layout checks) and JSON‑LD embedded by third‑party marketing includes unrelated entities that break a single‑entity expectation.

At AppWispr we recommend baking these checks into your deploy pipeline so your founder or PM never has to triage a store rejection late at night — treat asset QA as code, not manual guessing.