Image to PDF Converter

Convert multiple images (JPG, PNG, WEBP, GIF, BMP) into a single PDF document. Drag & drop to reorder, choose page size, orientation, and margins — all in your browser. Zero upload, maximum privacy.

Drag & drop images here

or click to select files (JPG, PNG, WEBP, GIF, BMP)

All conversion happens locally — images never leave your device.
100% local & private: No upload, no server processing. Your images stay in your browser. Perfect for sensitive documents.

Professional Image to PDF Conversion – Why Use This Tool?

Converting images to PDF is essential for creating portfolios, scanned documents, receipts, digital archives, and ebooks. Our client-side PDF generator uses the industry-standard jsPDF library combined with native Canvas rendering. Unlike cloud-based converters, your data never leaves your computer — ideal for legal documents, medical records, or confidential artwork.

⚡ High-performance merging: combine dozens of high-resolution images into a compact PDF without quality loss. Maintains original image resolution up to the PDF page limits.

How to Use: Step-by-Step Guide

  1. Add images – Drag & drop or click to select multiple files (JPG, PNG, WEBP, GIF, BMP).
  2. Rearrange pages – Use ↑ / ↓ buttons to change the order of images. The final PDF will follow your sequence.
  3. Adjust PDF layout – Choose page size (A4, Letter, Legal, A3), orientation, margins, and image fitting method.
  4. Convert & download – Click “Convert to PDF”. A high-quality PDF will be generated and automatically downloaded.

Advanced Features & Technical Insights

Our converter preserves image color profiles (sRGB) and uses vector-based scaling inside PDF to ensure crisp output. The contain mode maintains original aspect ratio with optional white/colored margins; cover mode fills the entire page (may crop edges); stretch mode fits full page ignoring aspect ratio. We also implement basic orientation detection to respect EXIF metadata from smartphone images. Each image is rendered onto a canvas, then embedded as a lossless (or JPEG compressed depending on image source) object inside the PDF, guaranteeing maximum fidelity. All calculations are performed using the browser’s native Image API.

Case Study: Photographer’s Portfolio

A professional photographer needed to deliver a 25-image portfolio as a single PDF for a client. Using this tool, they imported high-resolution JPGs, arranged them in preferred storytelling order, selected A3 landscape with 15mm margins, and generated a 32 MB PDF in seconds. The result maintained exact color accuracy and allowed the client to view the entire series without sending individual files. The offline nature ensured confidentiality of unpublished work.

Why Choose Client-Side Image to PDF Tools?

  • Privacy-first: No server upload → zero risk of data leaks.
  • Unlimited file size: Browser memory is the only limit; no artificial caps.
  • Speed & accessibility: Instant conversion, works offline after page load.
  • Cross-platform: Works on Windows, macOS, Linux, iOS, Android.
  • Completely free: No watermarks, no signup, no hidden fees.

Frequently Asked Questions

No. The PDF preserves image data as originally rendered. However, final PDF size depends on the embedded image resolution. For extremely high-res images, PDF file size may increase. We embed images without recompression beyond what the browser’s canvas provides (lossless PNG fallback).

Technically limited by available RAM and the browser’s memory. With typical images (2-5 MB each), 100+ images can be processed. For extremely large batches, we recommend splitting into smaller PDFs.

Absolutely. Scanned JPG/PNG documents work perfectly. Use “contain” mode to keep aspect ratio and maintain readability.

The generated PDF conforms to PDF 1.3 (compatible with all modern readers). Each image is embedded using FlateDecode or DCTDecode filters depending on original image type.

This tool focuses on image to PDF. For merging PDFs, see our dedicated PDF Merger tool.

Built on open-source standards – Developed by document engineering specialists, using jsPDF under MIT license and modern HTML5 APIs. Reviewed by the GetZenQuery Tech team for reliability, accessibility, and privacy compliance. Updated March 2026.

References: ISO 32000-1 (PDF 1.7), Adobe PDF Reference, W3C Canvas API. Learn more at W3C PDF Community.