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import { parseArgs } from "util";
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const SUPPORTED_INPUT_FORMATS = [".heic", ".jpeg", ".jpg", ".png", ".webp", ".gif", ".bmp", ".avif", ".tiff", ".tif"];
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const OUTPUT_FORMATS = ["jpeg", "png"] as const;
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type OutputFormat = (typeof OUTPUT_FORMATS)[number];
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function printUsage() {
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console.log(`Usage: bun run index.ts [options] <image1> [image2] ...
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Convert and scale images to JPEG or PNG format.
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Arguments:
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<image> ... Input image file(s) (heic, jpeg, png, webp, gif, bmp, avif, tiff)
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Options:
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-f, --format <format> Output format: jpeg or png (default: jpeg)
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-w, --width <number> Scale image to this width (height auto-calculated)
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-h, --height <number> Scale image to this height (width auto-calculated)
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-s, --size <number> Scale image so the larger dimension matches this size
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-o, --output <dir> Output directory (default: same as input)
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--help Show this help message
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Examples:
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bun run index.ts photo.heic
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bun run index.ts photo.jpg --format png
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bun run index.ts photo.jpg --width 800
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bun run index.ts photo.jpg --height 600
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bun run index.ts a.jpg b.heic c.png --format png --width 1920
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bun run index.ts photo.jpg --output ./converted --format jpeg --width 1280`);
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}
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function parseCliArgs(args: string[]) {
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const { values, positionals } = parseArgs({
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args,
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options: {
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format: { type: "string", short: "f", default: "jpeg" },
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width: { type: "string", short: "w" },
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height: { type: "string", short: "h" },
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size: { type: "string", short: "s" },
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output: { type: "string", short: "o" },
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help: { type: "boolean" },
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},
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strict: false,
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allowPositionals: true,
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});
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return { values, positionals };
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}
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function getOutputPath(inputPath: string, format: OutputFormat, outputDir?: string): string {
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const base = inputPath.split("/").pop()!;
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const nameWithoutExt = base.replace(/\.[^.]+$/, "");
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const ext = format === "jpeg" ? "jpg" : "png";
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const outputName = `${nameWithoutExt}_converted.${ext}`;
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if (outputDir) {
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return `${outputDir.replace(/\/$/, "")}/${outputName}`;
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}
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const dir = inputPath.includes("/") ? inputPath.substring(0, inputPath.lastIndexOf("/")) : ".";
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return `${dir}/${outputName}`;
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}
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async function processImage(
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inputPath: string,
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outputPath: string,
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format: OutputFormat,
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targetWidth?: number,
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targetHeight?: number,
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targetSize?: number,
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) {
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const inputFile = Bun.file(inputPath);
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if (!(await inputFile.exists())) {
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console.error(`❌ File not found: ${inputPath}`);
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return false;
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}
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const ext = "." + inputFile.name.split(".").pop()?.toLowerCase();
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if (!SUPPORTED_INPUT_FORMATS.includes(ext)) {
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console.error(`❌ Unsupported format: ${ext} (${inputPath})`);
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return false;
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}
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const image = await inputFile.image();
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const meta = await image.metadata();
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const originalWidth = meta.width;
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const originalHeight = meta.height;
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// Resolve --size into width/height (scale by larger dimension, no upscaling)
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if (targetSize) {
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const largerDim = Math.max(originalWidth, originalHeight);
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if (largerDim <= targetSize) {
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console.warn(`⚠️ ${inputPath} already smaller than ${targetSize}px (${originalWidth}x${originalHeight}), skipping scale`);
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targetSize = undefined;
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} else if (originalWidth >= originalHeight) {
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targetWidth = targetSize;
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} else {
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targetHeight = targetSize;
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}
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}
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let processed: Image;
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if (targetWidth && targetHeight) {
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processed = await image.resize(targetWidth, targetHeight, { fit: "fill" });
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} else if (targetWidth) {
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processed = await image.resize(targetWidth);
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} else if (targetHeight) {
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const scale = targetHeight / originalHeight;
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const scaledWidth = Math.round(originalWidth * scale);
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processed = await image.resize(scaledWidth, targetHeight, { fit: "fill" });
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} else {
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processed = image;
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}
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let outputImg: Image;
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if (format === "jpeg") {
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outputImg = await processed.jpeg({ quality: 90 });
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} else {
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outputImg = await processed.png();
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}
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await Bun.write(outputPath, await outputImg.buffer());
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const outMeta = await (await Bun.file(outputPath).image()).metadata();
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const outputSize = (await Bun.file(outputPath).size).toLocaleString();
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const scaled = outMeta.width !== originalWidth || outMeta.height !== originalHeight;
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const sizeInfo = scaled
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? `${originalWidth}x${originalHeight} -> ${outMeta.width}x${outMeta.height}`
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: `${originalWidth}x${originalHeight}`;
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console.log(`✅ ${inputPath} -> ${outputPath} (${sizeInfo}, ${outputSize} bytes)`);
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return true;
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}
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async function main() {
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const args = Bun.argv.slice(2);
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if (args.length === 0 || args.includes("--help")) {
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printUsage();
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process.exit(0);
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}
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const { values, positionals } = parseCliArgs(args);
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if (positionals.length === 0) {
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console.error("❌ Error: No input files specified.\n");
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printUsage();
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process.exit(1);
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}
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const format = String(values.format).toLowerCase() as OutputFormat;
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if (!OUTPUT_FORMATS.includes(format)) {
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console.error(`❌ Error: Invalid format "${format}". Must be one of: ${OUTPUT_FORMATS.join(", ")}\n`);
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process.exit(1);
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}
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const targetWidth = values.width ? parseInt(String(values.width), 10) : undefined;
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const targetHeight = values.height ? parseInt(String(values.height), 10) : undefined;
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const targetSize = values.size ? parseInt(String(values.size), 10) : undefined;
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if (targetWidth !== undefined && (isNaN(targetWidth) || targetWidth <= 0)) {
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console.error(`❌ Error: Invalid width "${values.width}". Must be a positive integer.\n`);
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process.exit(1);
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}
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if (targetHeight !== undefined && (isNaN(targetHeight) || targetHeight <= 0)) {
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console.error(`❌ Error: Invalid height "${values.height}". Must be a positive integer.\n`);
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process.exit(1);
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}
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if (targetSize !== undefined && (isNaN(targetSize) || targetSize <= 0)) {
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console.error(`❌ Error: Invalid size "${values.size}". Must be a positive integer.\n`);
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process.exit(1);
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}
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if (targetWidth && targetHeight) {
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console.log(`⚠️ Both width and height specified — using explicit resize (${targetWidth}x${targetHeight})`);
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} else if (targetWidth) {
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console.log(`📐 Scaling to width: ${targetWidth}px (height auto-calculated)`);
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} else if (targetHeight) {
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console.log(`📐 Scaling to height: ${targetHeight}px (width auto-calculated)`);
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} else if (targetSize) {
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console.log(`📐 Scaling by size: ${targetSize}px (larger dimension)`);
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}
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console.log(`🔄 Converting ${positionals.length} image(s) to ${format.toUpperCase()}...\n`);
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let successCount = 0;
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for (const inputPath of positionals) {
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const outputDir = values.output ? String(values.output) : undefined;
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const outputPath = getOutputPath(inputPath, format, outputDir);
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const ok = await processImage(inputPath, outputPath, format, targetWidth, targetHeight, targetSize);
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if (ok) successCount++;
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}
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console.log(`\n📊 Done: ${successCount}/${positionals.length} image(s) processed.`);
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if (successCount === 0) {
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process.exit(1);
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}
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}
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main();
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