Skip to main content

Visual regression checking with figma-first baselines, pixel+SSIM diffing, ignore regions, and HTML reports.

Project description

visualcheck

Visual regression checking with:

  • Figma-first baselines (optionally synced via Figma API)
  • Runtime baselines (auto-create when missing; never overwrite by default)
  • Pixel diff % + SSIM (with optional resize-on-mismatch + WARN)
  • Ignore regions (mask dynamic areas via selectors + explicit rects)
  • Self-contained HTML report + report.json

Install

pip install visualcheck
playwright install chromium

Config (visualcheck.yaml)

project: consumer_website
suite: daily_sanity

envs:
  prod: "https://example.com"

views:
  desktop_profiles: ["desktop_1440x900", "macbook_1440x900"]
  mobile_devices: ["iPhone 15 Pro Max", "iPhone 13 mini", "Pixel 7"]

pages:
  - id: home
    url: "/"
    wait_for: "body"
    full_page: true

# Optional flows (multi-step user journeys)
flows:
  - id: search_flow
    start_url: "/"
    steps:
      - action: click
        selector: "text=Search"
      - action: wait
        ms: 500
    snapshots:
      - id: after_search
        wait_for: "body"
        full_page: true

baseline:
  # Locked resolution order:
  # figma -> runtime -> create runtime baseline (if enabled)
  priority: ["figma", "runtime"]
  create_if_missing: true
  never_overwrite: true
  on_created: "INFO"  # INFO|WARN|FAIL

compare:
  resize_on_mismatch: true
  mismatch_level: "WARN"  # WARN|FAIL
  thresholds:
    max_pixel_diff_pct: 0.10
    min_ssim: 0.995

ignore_regions:
  global:
    selectors: ["#cookie-banner", ".chat-widget"]
  by_snapshot:
    home:
      rects:
        - {x: 0, y: 0, width: 300, height: 120}

# Optional Figma sync (writes into visual_baseline/<project>/<suite>/figma/...)
# figma:
#   token_env: FIGMA_TOKEN
#   file_key: "<FIGMA_FILE_KEY>"
#   frames:
#     - id: home
#       node_id: "123:456"
#       view_id: "desktop_1440x900"   # optional

Commands

Run full check

visualcheck run --env prod

Outputs:

  • Baselines:
    • visual_baseline/<project>/<suite>/figma/<view>/<snapshot>.png
    • visual_baseline/<project>/<suite>/runtime/<view>/<snapshot>.png
  • Run artifacts:
    • test_report/<project>/visual_runs/<run_id>/current/...
    • test_report/<project>/visual_runs/<run_id>/diff/...
    • test_report/<project>/visual_runs/<run_id>/report/report.html
    • test_report/<project>/visual_runs/<run_id>/report/report.json

Capture only

visualcheck capture --env prod --out current

Diff only

visualcheck diff --baseline visual_baseline/myproj/mysuite/runtime --current current --out report

Sync Figma baselines

export FIGMA_TOKEN="..."
visualcheck figma-sync

Approve current run as runtime baseline (explicit)

visualcheck approve --env prod --run-id 20260207_235500
# Overwrite existing runtime baselines only with:
visualcheck approve --env prod --run-id 20260207_235500 --force

Baseline rules (locked)

For each snapshot + view:

  1. If a Figma baseline exists → use it
  2. Else if a runtime baseline exists → use it
  3. Else → capture and create runtime baseline (controlled by baseline.create_if_missing)

Use from code (framework integration)

If you already navigate with Playwright/Selenium in your own framework and just want visualcheck to capture + baseline + diff + report, use the code API.

Baselines still go to visual_baseline/<project>/<suite>/... and the HTML report goes to test_report/<project>/visual_runs/<run_id>/report/report.html.

Playwright (sync) example

from playwright.sync_api import sync_playwright

# NOTE: API object names may evolve; refer to the package docs in case of changes.
from visualcheck.api import VisualCheck

vc = VisualCheck(
    project="my_project",
    suite="daily_sanity",
    env="prod",
    base_url="https://example.com",
    view_id="desktop_1440x900",
    baseline_priority=["figma", "runtime"],
    create_if_missing=True,
    ignore_selectors=["#cookie-banner", ".chat-widget"],
)

with sync_playwright() as p:
    browser = p.chromium.launch(headless=True)
    page = browser.new_page(viewport={"width": 1440, "height": 900})

    page.goto("https://example.com/", wait_until="domcontentloaded")
    vc.check(snapshot_id="home", page=page)

    page.goto("https://example.com/pricing", wait_until="domcontentloaded")
    vc.check(snapshot_id="pricing", page=page)

    vc.finalize()
    print("Report:", vc.report_html)

    browser.close()

Selenium example

from selenium import webdriver
from visualcheck.api import VisualCheck

vc = VisualCheck(
    project="my_project",
    suite="daily_sanity",
    env="prod",
    base_url="https://example.com",
    view_id="desktop_1440x900",
)

driver = webdriver.Chrome()
driver.set_window_size(1440, 900)

driver.get("https://example.com/")
vc.check(snapshot_id="home", selenium_driver=driver)

driver.get("https://example.com/pricing")
vc.check(snapshot_id="pricing", selenium_driver=driver)

vc.finalize()
print("Report:", vc.report_html)

driver.quit()

Notes

  • Ignore regions are masked with a solid color before diffing.
  • If screenshot sizes differ and compare.resize_on_mismatch=true, current is resized to baseline size and a warning is recorded.

License

MIT

Library & CLI usage (examples)

Programmatic API (Python)

The package exposes a simple programmatic API to integrate with Playwright or Selenium.

Example (Playwright):

from visualcheck.runner import run_visualcheck
from visualcheck.config import load_config

cfg = load_config(Path('examples/wakefit.yaml'))
result = run_visualcheck(cfg, env='prod', headed=False)
print('Report saved at', result.get('report_html'))

CLI usage

  • Sync Figma baselines:
export FIGMA_TOKEN="<your_token>"
visualcheck figma-sync --config examples/wakefit.yaml
  • Run full check:
visualcheck run --env prod --config examples/wakefit.yaml

Notes on FIGMA token & env handling

  • The library reads Figma token from the environment variable name specified in config (defaults to FIGMA_TOKEN).
  • Keep secrets out of git; use host-level secrets (e.g. ~/.openclaw/secrets.env) or a CI secret store.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

visualcheck-0.2.3.tar.gz (18.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

visualcheck-0.2.3-py3-none-any.whl (19.8 kB view details)

Uploaded Python 3

File details

Details for the file visualcheck-0.2.3.tar.gz.

File metadata

  • Download URL: visualcheck-0.2.3.tar.gz
  • Upload date:
  • Size: 18.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for visualcheck-0.2.3.tar.gz
Algorithm Hash digest
SHA256 664e0d6bcb602fba91ab3298ce18ad050df8d672dd966f191c849452d90f1c7f
MD5 eb858307d92329c27b1c2bce86751535
BLAKE2b-256 8746c9301ce2b247179d1007d25412692308f31e493963f4ae963e2ee3237cc6

See more details on using hashes here.

File details

Details for the file visualcheck-0.2.3-py3-none-any.whl.

File metadata

  • Download URL: visualcheck-0.2.3-py3-none-any.whl
  • Upload date:
  • Size: 19.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for visualcheck-0.2.3-py3-none-any.whl
Algorithm Hash digest
SHA256 2a71b1e2217027c0385ac57a0b2c49aedcd7157e6610473e0cf819fa02cfbe38
MD5 ed1c40281f44d0b7dcc07f1b60c19199
BLAKE2b-256 d7546b2321fbc3629073d6833b5351c5d1f06b947a0196cc3c3f03c208e60b0a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page