Convertify - free online image converter

Convert JPG to TIFF Online Free — Fast Batch Conversion

You can upload a maximum of 10 images at a timeDrag & Drop your images here orSupported formats: JPG
Output format
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How to Convert Images Online

  1. 1Upload your JPG

    Click the upload button or drag and drop your JPG file. Upload up to 10 files for batch conversion or multi-page TIFF assembly.

  2. 2Choose TIFF output

    TIFF is selected by default on this page. LZW compression is applied automatically for smaller file sizes.

  3. 3Download

    Click Convert and download your TIFF file. For multiple files you get a multi-page TIFF or ZIP archive.

Supported Image Formats

JPG

Universal format for photos. Supported everywhere, great balance between quality and file size.

TIFF

Professional lossless format used in printing and photography.

HEIC

Apple photo format used by iPhone and iPad. High quality with small file size.

HEIF

High Efficiency Image Format — same as HEIC, used on Apple devices.

WebP

Modern image format by Google. Up to 30% smaller than JPG with the same quality.

PNG

Lossless format that preserves every pixel. Best for screenshots and logos.

GIF

Classic format for simple animations. Supports transparency and up to 256 colors.

BMP

Uncompressed bitmap format. Maximum quality but very large file size.

AVIF

Next-gen format with excellent compression. Up to 50% smaller than JPG.

PPM

Portable Pixmap format used in Unix/Linux environments.

HDR

High Dynamic Range format storing extended brightness data.

FITS

Flexible Image Transport System used in astronomy and science.

PDF

Portable Document Format. Convert PDF pages to JPG, PNG or WebP images.

AVIF vs WebP vs HEIC vs JPG

Quick comparison to help you choose the right format

AVIF
  • Size: Up to 50% smaller than JPG
  • Browsers: Chrome, Firefox, Safari
  • Transparency:
  • Best for: Web performance
WebP
  • Size: 25-35% smaller than JPG
  • Browsers: All modern browsers
  • Transparency:
  • Best for: Web compatibility
HEIC
  • Size: ~50% smaller than JPG
  • Browsers: Safari only
  • Transparency:
  • Best for: iPhone storage
JPG
  • Size: Baseline
  • Browsers: All browsers & apps
  • Transparency:
  • Best for: Universal sharing

Frequently Asked Questions

Does converting JPG to TIFF improve image quality?
No. JPEG compression permanently discards detail during encoding — that data is gone forever. Converting to TIFF preserves exactly what remains and prevents further degradation in subsequent edits, but it cannot recover lost information.
Why is my TIFF file so much larger than the JPG?
TIFF stores every decoded pixel without lossy compression. A JPG achieves 10–20× compression by discarding data; TIFF with LZW achieves only 1.5–2× lossless compression on the same pixels. Expect the TIFF to be 6–7× larger than the source JPG.
Should I use TIFF or PNG after converting from JPG?
TIFF for professional print, prepress, archival, and multi-page documents. PNG for web compatibility, design tools (Figma, Sketch), and general-purpose lossless storage. Both preserve quality identically — they differ in metadata support and ecosystem compatibility.
Does JPG to TIFF preserve EXIF metadata?
Yes. Convertify reads EXIF data from the JPG (GPS, camera model, exposure settings, timestamps) and writes it into the TIFF output. ICC color profiles are also preserved.
Can I combine multiple JPGs into one multi-page TIFF?
Yes. Upload multiple JPG files and Convertify combines them into a single multi-page TIFF, with each JPG becoming one page. This is standard for legal, archival, and document management workflows.
What TIFF compression does Convertify use?
LZW by default — lossless compression that typically reduces file size by 30–50% compared to uncompressed TIFF. Uncompressed TIFF is available when downstream systems require it.
Can browsers display TIFF files?
No. Chrome, Firefox, and Edge trigger a download prompt for TIFF files. Safari has partial native support. For web delivery, convert to WebP, AVIF, or JPG instead.
Is JPG to TIFF conversion lossless?
The conversion itself is lossless — no additional quality is lost beyond what the original JPG encoding already discarded. The decoded JPEG pixels are stored bit-for-bit in the TIFF container.

What actually happens when JPG becomes TIFF

JPEG is a lossy format — it discards high-frequency image detail during encoding, and that data is permanently gone. Converting to TIFF does not magically restore those discarded pixels. What it does is decode the JPEG bitstream into full RGB values and store them without any further lossy compression.

The result is a larger file of the same image. In practice, a TIFF will be roughly 6–7× bigger than the source JPG. A 500 KB vacation photo becomes a 3–3.5 MB TIFF. This growth is entirely due to TIFF storing every decoded pixel at full precision rather than re-applying DCT quantization.

The value of JPG→TIFF is not quality improvement — it is quality preservation. Once in TIFF, the image can be cropped, color-corrected, rotated, and re-saved unlimited times without accumulating additional generation loss. Every re-save of a JPG applies another round of DCT quantization, degrading the image progressively. TIFF freezes quality at its current level permanently.

When JPG to TIFF conversion makes sense

Professional print workflows are the primary driver. Prepress operators, publishing houses, and photo labs routinely require TIFF because it is the ISO-standardized archival format with guaranteed longevity. Magazine layouts in InDesign, book interiors in QuarkXPress, and large-format print files all expect TIFF inputs.

Archival storage is the second major use case. Libraries, museums, government agencies, and court filing systems specify TIFF for long-term preservation. TIFF supports embedded ICC color profiles for accurate color reproduction decades later — something JPG handles inconsistently across software.

Scientific imaging and medical documentation also demand TIFF. Pathology slides, satellite imagery, and GIS data commonly use TIFF containers with specialized metadata tags (GeoTIFF coordinates, DICOM-adjacent metadata).

For web delivery, this conversion makes no sense — TIFF has zero browser support. For web-optimized output, try JPG to WebP or JPG to AVIF instead.

File size: why your TIFF is 6–7× larger

TIFF stores the decoded image without lossy compression — typically using LZW lossless compression or no compression at all. A JPEG encoder achieves 10:1 to 20:1 compression ratios on photographic content by discarding data the human eye is least sensitive to. TIFF with LZW achieves roughly 1.5:1 to 2:1 on the same decoded pixels because lossless algorithms cannot exploit perceptual masking.

Concrete numbers: a 1920×1080 JPG at quality 85 weighs roughly 400–700 KB. The same image decoded to 24-bit TIFF with LZW compression is 2.5–4.5 MB. Without compression (raw TIFF), it reaches 5.93 MB — the exact width × height × 3 bytes formula. At 4K resolution the difference is more dramatic: a 1.5 MB JPG becomes a 23.7 MB uncompressed TIFF.

Convertify applies LZW compression by default to minimize TIFF file size while keeping every pixel lossless.

ICC profiles and color management

JPG files from cameras typically carry an embedded sRGB or Display P3 ICC profile, but many software tools strip or ignore these profiles during processing. TIFF has robust, standardized support for ICC color profiles — they are stored as a dedicated IFD tag and reliably read by every color-managed application from Photoshop to prepress RIPs.

Convertify reads the ICC profile from the source JPG (if present) and embeds it in the TIFF output. If no profile is embedded, sRGB is assumed and written explicitly. This matters for print: an image without a declared color profile may be interpreted as CMYK or Adobe RGB by prepress software, producing incorrect colors on press.

Multi-page TIFF from multiple JPGs

TIFF supports multiple images in a single file via chained IFD (Image File Directory) entries. This makes it the standard format for scanned multi-page documents, fax transmissions, and batch photography archives.

If you upload multiple JPG files to Convertify, they can be combined into a single multi-page TIFF where each JPG becomes one page. This is standard practice in legal archiving (court filings often require single-file TIFF submissions), document management systems, and medical records where a series of photographs must be bundled into one file.

For single-image conversions, the output is a standard single-page TIFF.

TIFF compression options for JPG sources

TIFF supports several compression schemes, but not all make sense for JPG-sourced content. LZW (Lempel-Ziv-Welch) is the default and best general choice — lossless, widely supported, and typically reduces file size by 30–50% compared to uncompressed TIFF. ZIP/Deflate uses the same algorithm as PNG and achieves similar or slightly better ratios than LZW on photographic data.

JPEG-in-TIFF stores the original JPEG bitstream inside the TIFF container — this preserves the original file size but defeats the purpose of converting to TIFF for lossless editing. It is occasionally used when a TIFF container is required but no quality improvement is needed.

CCITT Group 4 is only useful for black-and-white document scans — it does not apply to photographic JPG sources. Convertify defaults to LZW, which provides the best balance of compatibility and compression for color photographs.

How Convertify converts JPG to TIFF

The Rust backend uses libvips to decode the JPEG via libjpeg-turbo, producing a VipsImage with the full 8-bit-per-channel RGB data and any embedded ICC profile. The EXIF orientation tag is applied before encoding so the output matches the camera-roll display orientation. vips_tiffsave() writes the TIFF with LZW compression, the original ICC profile (or explicit sRGB if none was present), and preserved EXIF metadata including GPS coordinates, capture time, and camera model.

For multi-file uploads, libvips writes a multi-page TIFF with each JPG as a separate IFD entry. Files stream directly to the HTTP response without intermediate disk writes. Memory usage stays flat regardless of image dimensions thanks to libvips's demand-driven tile pipeline.

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