Progressive JPEG Checker

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Workflow & Usage

  1. Add JPEGs. Drag & drop or click to select one or more .jpg/.jpeg files.
  2. Instant analysis. The checker reads headers client-side - no uploads, no WASM, no workers.
  3. Review results. Each card shows:
    • Progressive or Baseline (SOF2 vs SOF0)
    • Dimensions & precision (sample depth)
    • Subsampling (e.g., 4:2:0, 4:4:4, or grayscale)
    • DQT/DHT table counts
    • Scan list with Ss–Se and Ah/Al per SOS
    • JFIF presence & basic EXIF orientation (if found)

What This Checker Verifies

  • Progressive vs Baseline
    Detects SOF2 (progressive) and SOF0 (baseline) markers so you know how the image will stream.

  • Scan Structure (SOS)
    Lists every scan’s component IDs, spectral selection (Ss–Se), and successive approximation (Ah/Al) to reveal the pass strategy.

  • Chroma Subsampling
    Infers 4:4:4 / 4:2:2 / 4:2:0 / 4:1:1 / 4:4:0 / GRAY from component sampling factors in the SOF segment.

  • Tables & Metadata
    Counts DQT (quantization) and DHT (Huffman) tables; notes JFIF and basic EXIF orientation when present.

Tip: Use this checker to audit image pipelines, verify email-safe assets, or confirm CMS/CDN behavior after transforms.

Interpreting Results

  • Progressive (SOF2): Renders in multiple passes. Good for perceived speed where streaming matters.
  • Baseline (SOF0): Decodes top-to-bottom in a single pass. Fine for local fast loads; less pleasant on slow links.
  • Scans: More scans can mean smoother progression but not always smaller files - it depends on the encoder strategy.
  • Subsampling:
    • 4:2:0: great default for photos (smaller file size).
    • 4:4:4: use when color edges matter (logos/UI/illustrations).
    • GRAY: for true grayscale assets; smallest when appropriate.

Limitations

  • No partial-pass preview: Browsers don’t expose progressive pass rendering to canvas.
  • Header-only: We don’t decode pixels; corrupted files may be partially readable or fail early.
  • Metadata variety: Some producers write non-standard segments; we aim to be polite but strict enough to avoid false positives.

How It Works (Under the Hood)

  • Marker walk: Reads the byte stream, confirming SOI/EOI, then iterates segments by marker (0xFFxx) and length.
  • SOF/SOS parsing: Extracts width/height/precision/components, then parses each SOS for components, Ss/Se, and Ah/Al.
  • Subsampling inference: Uses component sampling factors (H×V) to map to human-readable subsampling (e.g., 4:2:0).
  • Tables & metadata: Increments DQT/DHT counts; notes APP0 JFIF; lightly parses APP1/Exif for orientation.
  • Privacy by design: Everything happens locally; you can export a JSON report for reproducible audits.

Use Cases

  • CDN/CMS QA: Verify whether transformations keep progressive encoding and intended subsampling.
  • Email & Newsletters: Ensure images remain progressive for better perceived load across clients.
  • Performance Audits: Inspect scan strategies and table counts for assets that feel slow or heavy.

Tips

  • Measure before changing. If a file is baseline but loads fast, switching to progressive might not be noticeable in all contexts.
  • Mind subsampling for UI art. Logos and crisp graphics often look better as PNG/WebP or at least with 4:4:4.
  • Pair with the Converter. Need progressive output? Re-encode with the Progressive JPEG Converter and compare size/quality.

Frequently Asked Questions

It parses JPEG headers to detect SOF2 (progressive) vs SOF0 (baseline), counts DQT/DHT tables, lists each SOS scan (Ss/Se/Ah/Al + component IDs), infers chroma subsampling (e.g., 4:2:0), and reads basic EXIF orientation. It doesn’t decode pixels.

No. Analysis happens entirely in your browser. We only read file headers; nothing leaves your device.

Progressive JPEGs render in passes. Early scans give a quick preview that sharpens with later scans, improving perceived loading on slow connections or over the wire (e.g., email clients).

Browsers don’t expose partial-scan rendering via canvas, so we can’t visualize passes. This checker focuses on structure and metadata.

It’s how color is downsampled relative to luma. 4:2:0 is common for photos (smaller files) while 4:4:4 keeps maximum color detail (larger files).

No. It only reads headers. You can export a JSON report for each file.

We parse standard APP1/Exif orientation when present, but some files omit or rewrite metadata. Treat it as a helpful hint, not a guarantee.

Use our companion tool, “Progressive JPEG Converter” to re-encode images as progressive with your preferred quality and size.

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