Convert JPG to TIFF Online Free
Quick answer: TIFF (Tagged Image File Format) is a flexible, professional-grade raster container that supports lossless compression, embedded resolution metadata, and multi-page documents — unlike JPG's single-page lossy approach. This free tool converts your JPG images to genuine, standards-compliant TIFF files with real LZW/PackBits compression encoded directly in your browser, no server uploads required.
📦 TIFF files (even compressed) are typically larger than the source JPG because TIFF stores pixel data losslessly.
🗜️ LZW compression is recommended for the best balance of file size and universal compatibility. PackBits encodes faster but compresses less efficiently on photos.
📚 Enable "Multi-Page TIFF" to bundle several JPGs into a single .tiff file — ideal for scanned document sets.
✅ Your images are processed entirely in your browser. Nothing is uploaded to any server.
Click to Upload JPG/JPEG File(s) or drag and drop here
Supports .jpg and .jpeg — select or drop multiple files for batch conversion
⚙️ TIFF Encoding Settings
Adjust how your JPG is encoded into TIFF format.
👁️ Converted File Preview
✅ 100% Private & Secure: All conversion happens in your browser using JavaScript. Your images are never uploaded to any server.
How to Convert JPG to TIFF Online
Upload JPG Files
Click the upload area or drag and drop one or more JPG/JPEG images.
Configure Settings
Choose compression method, color mode, DPI, byte order, and optional multi-page bundling.
Convert & Download
Click "Convert to TIFF" and download files individually, as a ZIP, or as one multi-page file.
✨ Why Convert JPG to TIFF?
TIFF is the gold standard for archival imaging, scanning, and professional print production. Unlike JPG, which discards data with every save, TIFF supports genuinely lossless compression (LZW, PackBits) that preserves every pixel exactly. TIFF also embeds real resolution metadata for accurate print sizing and — uniquely among common image formats — supports multi-page documents, making it the preferred format for scanned paperwork, medical imaging, and long-term digital preservation.
Document Archival
Store scanned documents losslessly for decades without generation loss — TIFF is the archival standard trusted by libraries and institutions.
Multi-Page Scanning
Combine multiple scanned pages into a single multi-page TIFF file, just like a physical document with multiple sheets.
Professional Printing
TIFF's lossless quality and embedded DPI metadata make it a preferred format for prepress and commercial print workflows.
Medical & Scientific Imaging
Many medical imaging and scientific instruments export or require TIFF for its lossless fidelity and metadata support.
Lossless Editing
Convert to TIFF before heavy editing in Photoshop or GIMP to avoid JPG's cumulative generation loss across saves.
Secure Local Processing
Convert sensitive scans and images without uploading them to a third-party server — all processing happens in your browser.
Why Use This JPG to TIFF Converter?
- Real LZW Compression: A genuine TIFF6-spec LZW encoder runs entirely in your browser — not a placeholder, an actual working implementation with proper bit-packing and code-width management.
- PackBits (RLE) Option: A faster, simpler lossless alternative for images with large flat-color regions or when maximum encoding speed matters.
- Grayscale Conversion: Convert to 8-bit grayscale on the fly for smaller archival files when color isn't needed.
- DPI Metadata Control: Embed accurate XResolution/YResolution tags so printers and layout software size your image correctly.
- Byte Order Selection: Choose Little Endian or Big Endian TIFF for compatibility with specific legacy systems or toolchains.
- Multi-Page TIFF Bundling: Merge an entire batch of scanned JPGs into one properly-chained multi-page TIFF file.
- Batch Conversion: Process multiple JPG files at once and download them individually or as a ZIP.
- 100% Browser-Based: No software to install, no server uploads. All TIFF binary encoding happens client-side in JavaScript.
- Free Forever: No file size limits, no watermarks, no account required.
JPG to TIFF Converter – Complete Guide
JPG and TIFF represent two opposite philosophies of image storage. JPG prioritizes small file size through lossy DCT-based compression, discarding data the human eye is unlikely to notice. TIFF (Tagged Image File Format) prioritizes fidelity and flexibility — it is a container format that can hold uncompressed or losslessly compressed pixel data, rich metadata, multiple color modes, and even multiple pages within a single file. This guide explains exactly how this converter builds real, standards-compliant TIFF files byte-by-byte, and how to choose the right settings for your use case.
How This Converter Builds a Real TIFF File
Unlike simply relabeling a JPG, this tool constructs an authentic TIFF binary structure from scratch: an 8-byte header (byte-order marker, magic number 42, and offset to the first Image File Directory), followed by one or more IFDs — the "Tagged" part of TIFF — each containing structured metadata entries (ImageWidth, ImageLength, Compression, PhotometricInterpretation, StripOffsets, XResolution, YResolution, and more), followed by the actual pixel data. The pixel data itself is compressed in-browser using a hand-implemented LZW encoder (following the TIFF6 specification's 9-to-12-bit variable code width with early code-width change) or a PackBits run-length encoder, both of which are genuinely lossless — every original pixel value is recoverable exactly from the compressed stream.
JPG vs TIFF: Key Differences
| Feature | JPG | TIFF |
|---|---|---|
| Compression Type | Lossy only | Lossless (LZW, PackBits) or Uncompressed |
| Multi-Page Support | ❌ Single image only | ✓ Multiple pages (IFDs) per file |
| Metadata / Tags | EXIF (limited structure) | ✓ Extensible tag-based structure |
| Resolution Metadata | Optional, inconsistent | ✓ Standard XResolution/YResolution tags |
| Color Depth | 8-bit per channel (24-bit) | ✓ 1 to 32+ bits per channel |
| Re-saving Degradation | Degrades with every re-save | None with lossless compression |
| File Size | Small | Larger (even compressed) |
| Industry Standard For | Web, photography sharing | Archival, scanning, prepress, medical imaging |
| Byte Order Flexibility | Fixed (big-endian markers) | ✓ Selectable (Little/Big Endian) |
TIFF Compression Methods Compared
| Method | Type | Typical Size vs Uncompressed | Encoding Speed | Best For |
|---|---|---|---|---|
| None | N/A | 100% (baseline) | Fastest | Maximum compatibility with very old software |
| LZW | Lossless | 40-70% of original | Moderate | General-purpose (Recommended default) |
| PackBits | Lossless | 60-95% of original (varies widely) | Very fast | Flat-color graphics, scanned line art, speed-critical batches |
Choosing Color Mode by Use Case
| Use Case | Recommended Mode | Why |
|---|---|---|
| Scanned text documents | Grayscale | Text has no color information to preserve; cuts file size by ~66% |
| Photographs / artwork | Color (RGB) | Preserves full color fidelity for photographic content |
| Product photography archival | Color (RGB) | Color accuracy is critical for e-commerce and catalog use |
| Fax / legal document archives | Grayscale | Matches the black-and-white nature of most legal paperwork |
| Unsure / mixed content | Color (RGB) | Safest default that preserves all available information |
Recommended Settings by Use Case
| Use Case | Compression | Color Mode | DPI | Multi-Page |
|---|---|---|---|---|
| Scanned document archive | LZW | Grayscale | 300 | ✓ Enabled |
| Print-ready photo | LZW | Color | 300 | Disabled |
| Fast batch processing | PackBits | Color or Grayscale | 150 | Disabled |
| Legacy software compatibility | None | Color | 200 | Disabled |
| Medical / scientific imaging | LZW | Grayscale or Color | 600 | Depends on study |
Security and Privacy Considerations
- Zero Network Transfer: Your JPG files are read directly from your device into browser memory using the File API. They are never transmitted over the network or sent to any server.
- No Server-Side Processing: All pixel extraction, LZW/PackBits compression, and TIFF binary assembly happens client-side in JavaScript — there is no backend involved at any point.
- No File Storage: Generated TIFF files exist only as temporary in-memory Blob objects. Nothing is written to a database, cloud bucket, or server disk.
- Metadata Stripping: Because pixel data is re-extracted via Canvas rather than copying the original JPEG byte stream, existing EXIF metadata (GPS coordinates, camera model, timestamps) is not carried into the output TIFF.
- Session Isolation: All file data and object URLs are held in browser memory only during your active session. Closing the tab clears everything instantly.
Browser Compatibility and Technical Requirements
This JPG to TIFF converter works in all modern browsers that support:
- File API: For local file reading without server upload.
- HTML5 Canvas 2D API: For decoding JPGs to raw pixel data via
getImageData(). - ArrayBuffer / DataView / Uint8Array: For binary-level TIFF header, IFD, and pixel data construction with configurable endianness.
- Blob API: For creating downloadable TIFF files.
- JSZip: For packaging multiple TIFF files into a single ZIP download.
Supported Browsers:
- ✅ Chrome/Edge 60+
- ✅ Firefox 55+
- ✅ Safari 14+
- ✅ Opera 47+
- ✅ Mobile Chrome (Android)
- ✅ Mobile Safari (iOS 14+)
Troubleshooting Common Issues
Explanation: JPG's lossy compression is far more aggressive than any lossless method can match, especially on photographic content with fine gradients and noise. LZW achieves good compression on flat colors and repeated patterns but cannot compete with JPG's perceptual data discarding. Solution: This is expected — TIFF sacrifices file size for lossless fidelity. If size is more important than losslessness, stay with JPG.
Explanation: The LZW encoder processes the image byte-by-byte while maintaining a dictionary of byte sequences, which is more computationally intensive than simple run-length encoding. Very large images (20+ megapixels) can take several seconds to encode. Solution: Switch to PackBits for faster encoding, or be patient — the process is still entirely local with no network wait time.
Explanation: Some minimalist or very old TIFF readers may not fully support all baseline tags or may expect additional optional tags. Solution: Try opening the file with a robust, standards-compliant viewer like IrfanView, GIMP, Photoshop, or the `tiffinfo`/`convert` command from libtiff/ImageMagick to verify the file structure. These tools follow the TIFF6 specification closely and should render the file correctly.
Explanation: The multi-page TIFF feature requires at least 2 uploaded images to be meaningful. Solution: Upload 2 or more JPG files, and the "Combine into Multi-Page TIFF" checkbox will become active.
Explanation: Grayscale conversion uses the standard luminance formula (0.299×R + 0.587×G + 0.114×B), which weights green more heavily than red or blue to match human perception. This is intentional and matches how most professional imaging software converts to grayscale.
Explanation: Some legacy or specialized software has a hard requirement for a specific byte order. Solution: Switch the "Byte Order" setting to the required option and re-convert. Both are equally valid, standards-compliant TIFF — the choice only matters for compatibility with specific legacy tools.
Explanation: This is expected behavior. The DPI/resolution setting only writes metadata (XResolution/YResolution tags) that tells printers and layout software the intended print size — it does not resample or resize the actual pixel data. A 3000×2000 pixel image remains 3000×2000 pixels regardless of the DPI value chosen.
Best Practices for Successful Conversion
- Use LZW as Your Default: It offers the best balance of compression and universal compatibility for virtually all use cases. Only switch to PackBits or None for specific speed or compatibility requirements.
- Convert Text Documents to Grayscale: If you're archiving scanned text or line-art documents, grayscale mode significantly reduces file size with zero loss of relevant information.
- Set DPI to Match Your Scanner or Print Target: Use 300 DPI for standard print quality, 600 DPI for archival scans of detailed documents, and 72-96 DPI only for screen-only purposes.
- Use Multi-Page TIFF for Document Sets: If you have multiple scanned pages of the same document, combine them into a single multi-page TIFF rather than managing dozens of separate files.
- Keep the Original JPG: While TIFF (with lossless compression) won't degrade further, converting doesn't recover any detail already lost in the original JPG compression. Keep your source files as backup.
- Use Little Endian Unless Told Otherwise: Little Endian ("II") is the more common modern default and works with virtually all current software. Only use Big Endian if a specific legacy system requires it.
- Preview Before Batch Converting: Use the live preview to verify grayscale conversion and settings look correct before processing an entire batch.
- Test Multi-Page Output in a Real Viewer: After creating a multi-page TIFF, open it in a proper TIFF viewer (like IrfanView or Preview on macOS) and page through it to confirm all pages appear correctly and in order.
Frequently Asked Technical Questions
Question 1: How is the LZW compression actually implemented in the browser?
Answer: The converter implements the TIFF6 variant of LZW from scratch in JavaScript. It maintains a dictionary (using a JavaScript Map keyed by prefix-code and next-byte combinations for performance) starting with codes 0-255 as literal bytes, 256 as ClearCode, and 257 as EndOfInformation. As matching byte sequences are found, new dictionary entries are added starting at code 258, with the code bit-width increasing from 9 to 12 bits at specific thresholds (511, 1023, 2047 — the historical "early change" convention used by all TIFF LZW implementations). When the dictionary approaches its 4094-entry limit, a ClearCode resets it. Codes are packed MSB-first into the output byte stream.
Question 2: What is PackBits and how does it differ from LZW?
Answer: PackBits is a simple run-length encoding (RLE) scheme. It scans the byte stream for runs of identical bytes (up to 128 repeats) and encodes them as a control byte plus the repeated value, while non-repeating "literal" byte sequences are copied through with a different control byte prefix. It's much simpler and faster than LZW but far less effective on photographic content with continuous tonal variation, since real photos rarely have long runs of identical pixel values.
Question 3: How does the TIFF header and IFD structure work?
Answer: Every TIFF file starts with an 8-byte header: 2 bytes indicating byte order ("II" or "MM"), 2 bytes containing the magic number 42, and 4 bytes pointing to the offset of the first Image File Directory (IFD). Each IFD begins with a 2-byte count of directory entries, followed by that many 12-byte entries (each specifying a Tag ID, data Type, value Count, and either an inline Value or an Offset to external data), and ends with a 4-byte offset to the next IFD (0 if none). This converter builds this structure byte-for-byte using a JavaScript DataView with a configurable endianness parameter.
Question 4: How does multi-page TIFF chaining work internally?
Answer: Each page is written as a complete unit: its own IFD, followed by its own tag data (BitsPerSample array, resolution rationals) and its own compressed pixel strip. The "next IFD offset" field at the end of each page's IFD points to the byte offset where the next page's IFD begins. The final page's next-IFD-offset field is set to 0, signaling the end of the document. A TIFF reader follows this chain sequentially to discover all pages.
Question 5: Why do RATIONAL type tags (like XResolution) always need an external offset?
Answer: A RATIONAL value in TIFF consists of two 4-byte unsigned integers (numerator and denominator) — 8 bytes total. Since an IFD entry's value/offset field is only 4 bytes wide, any RATIONAL value can never fit inline and must always be stored elsewhere in the file, with the IFD entry storing a pointer (offset) to that location instead of the value itself.
Question 6: What determines whether a tag's value is stored inline or via an offset?
Answer: Per the TIFF specification, if the total size of a tag's value (type size × count) is 4 bytes or less, it is stored directly in the entry's value/offset field, left-justified according to the file's byte order. If the total size exceeds 4 bytes — such as a 3-element BitsPerSample array (6 bytes) for RGB images or any RATIONAL value (8 bytes) — the field instead holds a byte offset pointing to where the actual data is stored elsewhere in the file.
Question 7: Does grayscale conversion reduce the actual bit depth or just the channel count?
Answer: Grayscale mode reduces the channel count from 3 (RGB) to 1, computing a single luminance value per pixel using the standard weighted formula. The bit depth per channel remains 8 bits (BitsPerSample=8), matching the browser Canvas API's native 8-bit-per-channel pixel representation. This means SamplesPerPixel changes from 3 to 1, and PhotometricInterpretation changes from 2 (RGB) to 1 (BlackIsZero).
Question 8: Why does the DataView API make byte-order handling easy?
Answer: The JavaScript DataView interface's read/write methods (like setUint16 and setUint32) accept an optional boolean littleEndian parameter that natively handles byte-swapping. This means the same encoding logic can produce either Little Endian ("II") or Big Endian ("MM") TIFF files simply by passing a different boolean value to every multi-byte write operation, without any manual bit-shifting or byte-reversal code.
Question 9: Is there a maximum practical image size for LZW encoding in the browser?
Answer: There's no hard-coded limit, but LZW encoding speed is roughly linear in pixel count, and very large images (50+ megapixels) processed with a JavaScript dictionary-based encoder can take noticeably longer than PackBits or no compression. Available browser memory (RAM) is the practical ceiling since the full pixel buffer, dictionary, and compressed output are all held simultaneously.
Question 10: Does the converter support 16-bit-per-channel TIFF output?
Answer: No. The browser's Canvas API represents pixel data internally at 8 bits per channel via getImageData(), so all output — regardless of the source JPG's characteristics — is written as standard 8-bit-per-channel TIFF (24-bit RGB or 8-bit grayscale). This matches how virtually all consumer-facing browser-based tools handle color depth.
Question 11: What is the Predictor tag and why doesn't this tool use it?
Answer: The Predictor tag (259 is Compression; Predictor is tag 317) can improve LZW compression ratios by storing the difference between adjacent pixel values instead of raw values, which often compresses better for photographic gradients. This converter uses the default Predictor value of 1 (no prediction) for simplicity and maximum compatibility, since not all TIFF readers correctly support horizontal differencing predictors.
Question 12: Can I open the generated TIFF file with GhostScript or convert it to PDF?
Answer: Yes. Standard tools like ImageMagick (convert input.tif output.pdf) or libtiff-based utilities can read the TIFF files generated by this tool since they follow the TIFF6 baseline specification precisely, including standard tags, byte order handling, and widely-supported LZW/PackBits compression schemes.
Frequently Asked Questions (FAQs)
Yes, our converter is 100% free to use. You can convert unlimited JPG images to TIFF without any hidden costs, watermarks, or account registration.
LZW is recommended for most use cases since it is lossless and typically reduces file size by 30-60% compared to uncompressed TIFF. PackBits is faster to encode but less efficient on photographic content. Use "None" only when maximum compatibility with very old software is required.
Yes. Enable the "Combine into Multi-Page TIFF" option to merge all uploaded JPG images into a single TIFF file with multiple pages (IFDs), commonly used for scanned document sets and fax archives.
Absolutely. Your images never leave your device. Conversion happens locally in your browser using JavaScript, and all file data is automatically removed from memory when you close the tab or click "Upload New Files".
Yes. This tool supports batch conversion. Drag and drop or select multiple JPG files, and they will be processed simultaneously. You can then download them individually, as a ZIP, or combined into a single multi-page TIFF.
TIFF typically uses lossless compression (or no compression), which preserves all pixel data exactly but produces larger files than JPG's lossy compression. Even with LZW compression, TIFF files are usually several times larger than the source JPG, especially for photographic content. This is expected and normal.
This refers to the byte order used to store multi-byte numbers in the file. Little Endian ("II", Intel byte order) is more common on Windows and modern systems. Big Endian ("MM", Motorola byte order) is a legacy convention from older Macintosh and Unix systems. Both are equally valid and supported by all modern TIFF readers.
Use Color (RGB) for photographs and any image where color information matters. Use Grayscale for scanned text documents, legal paperwork, or fax archives where color isn't needed — grayscale reduces file size by roughly two-thirds since it stores 1 byte per pixel instead of 3.
No. The DPI setting only embeds resolution metadata (XResolution/YResolution tags) that tells printers and layout software the intended physical print size. It does not resample or change the actual pixel dimensions of your image.
There is no difference — JPG and JPEG refer to the exact same image format. The .jpg extension exists because older Windows systems required three-letter file extensions, while .jpeg is the fuller form commonly used on Mac and Linux.
Yes. Adobe Photoshop, macOS Preview, GIMP, IrfanView, and most professional image viewers fully support multi-page TIFF files and let you navigate between pages just like a multi-page document.
TIFF is generally preferred for scanning, especially for archival purposes, because it preserves the scan losslessly and supports multi-page documents. JPG is acceptable for casual scans where file size matters more than perfect fidelity.
No. Converting to TIFF does not recover any detail already lost during the original JPG compression. However, from the point of conversion forward, the TIFF (with lossless compression) will not degrade further, unlike a JPG which loses more data every time it's re-saved.
Yes. This converter is fully responsive and works on Android phones, iPhones, iPads, and tablets. Simply open the page in your mobile browser, upload your JPG, and download the converted TIFF file.
Final Thoughts
Converting JPG to TIFF is essential for archival storage, professional printing, and document scanning workflows where lossless fidelity matters more than file size. This browser-based tool goes beyond simple relabeling — it constructs genuine, standards-compliant TIFF binaries with real LZW and PackBits compression, configurable color mode, resolution metadata, byte order, and true multi-page document support. With live previews, batch processing, and complete privacy, it's the most capable way to create professional TIFF files from your JPG images without leaving your browser.
Upload your JPG files above to start converting to TIFF now!