Image format
JPEG Sample Files for Testing
JPEG (.jpeg) is a lossy raster format optimized for photographic imagery. It supports baseline and progressive encoding, EXIF metadata, and restart markers. Use sample .jpeg files to verify quality settings, metadata extraction, and progressive decode workflows.
6 files
All to 200KB
SHA256 verified
Manifest included
Quick facts
Files first
JPEG Sample Files — Download
Use cases
JPEG Testing Workflows
Compare and decide
JPEG Format Comparisons
JPEG vs AVIF
Open ComparisonHEIC vs JPEG
Open ComparisonFAQ and reference
JPEG File FAQ
Checksum Verification
Use checksums to confirm file integrity after download.
shasum -a 256 your_file_name_here
# Compare output with SHA256 values listed above.
Where is the machine-readable manifest?
Use the manifest when you need stable names, SHA256 values, and URLs for automation.
Use in code — curl, Python, Node, wget
Copy any snippet directly into scripts, test suites, or CI pipelines. All URLs are stable and publicly accessible with no auth required.
# Download jpeg_1000x600_sample_file_36KB.jpeg
curl -L -o jpeg_1000x600_sample_file_36KB.jpeg \
https://samplefile.com/samples/download/image/jpeg/jpeg_1000x600_sample_file_36KB.jpeg/
# Or fetch a random JPEG file
curl -s "https://samplefile.com/samples/api/random?format=jpeg" | jq -r '.download_url'
# Download jpeg_1000x600_sample_file_36KB.jpeg
wget -O jpeg_1000x600_sample_file_36KB.jpeg \
https://samplefile.com/samples/download/image/jpeg/jpeg_1000x600_sample_file_36KB.jpeg/
import requests
# Download a specific file
url = "https://samplefile.com/samples/download/image/jpeg/jpeg_1000x600_sample_file_36KB.jpeg/"
resp = requests.get(url)
with open("jpeg_1000x600_sample_file_36KB.jpeg", "wb") as f:
f.write(resp.content)
# Or fetch a random JPEG file via API
meta = requests.get("https://samplefile.com/samples/api/random?format=jpeg").json()
resp = requests.get(meta["download_url"])
with open(meta["name"], "wb") as f:
f.write(resp.content)
// Download a specific file
const fs = require("fs");
const https = require("https");
const url = "https://samplefile.com/samples/download/image/jpeg/jpeg_1000x600_sample_file_36KB.jpeg/";
https.get(url, (res) => {
res.pipe(fs.createWriteStream("jpeg_1000x600_sample_file_36KB.jpeg"));
});
// Or fetch a random JPEG via the API
const meta = await fetch("https://samplefile.com/samples/api/random?format=jpeg").then(r => r.json());
const file = await fetch(meta.download_url);
// use file.arrayBuffer(), file.body, etc.
# Random JPEG file (JSON response)
GET https://samplefile.com/samples/api/random?format=jpeg
# All JPEG files
GET https://samplefile.com/samples/api/files?format=jpeg
# Manifest with SHA256 checksums
GET https://samplefile.com/samples/image/jpeg/manifest.json
# Response includes: name, size_bytes, mime_type, sha256, download_url
Validation Methodology
- Validate MIME sniffing against extension and file signatures.
- Test transparency, color profile, and resize pipelines.
- Benchmark decode speed and memory use for larger dimensions.
Fixture Matrix
Use the curated JPEG matrix to choose the right clean, edge-case, and broken fixtures for this format.
Open Matrix
Workflow Packs