Converting WebP to PNG is inherently lossless at the conversion step itself, because PNG stores every pixel precisely without any additional compression artifacts and the canvas-based pipeline reads decoded WebP bytes and re-encodes them as PNG without any intermediate quality reduction.
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The phrase lossless conversion is commonly misunderstood when applied to WebP to PNG conversion, and the misunderstanding leads to false expectations about what the resulting PNG will contain. Converting any image to PNG is lossless in the sense that the PNG file stores exactly the pixel values it receives, with no additional data discarded during the conversion step itself. However, the quality of the PNG output is bounded by whatever quality was present in the source WebP file at the moment you uploaded it. If the source WebP was encoded in lossy mode, the compression artifacts already present in those pixels are permanently embedded in the decoded data, and they appear identically in the PNG output because the converter has no way to invent the pixels that were discarded during the original lossy encoding.
This ceiling concept is important for anyone who believes that converting a lossy WebP to PNG somehow recovers the original photograph quality before lossy compression was applied. It does not, and no tool of any kind can do so without access to the pre-compression source. A WebP encoded at quality 75 contains DCT-based compression artifacts, colour smoothing in flat regions, and detail loss in high-frequency texture, all of which were baked into the file during the original WebP encoding step. The PNG conversion captures all of those pixels exactly, including every artifact. What you get is a lossless copy of an already lossy image, not a restoration of the original high-quality photograph. The only way to access that original is to obtain the pre-compression source file, typically a RAW capture, TIFF, or high-quality PNG from the original photographer or creator.
Lossless WebP, on the other hand, behaves quite differently. Files encoded in lossless WebP mode, identifiable by the VP8L signature in the file header at byte offset 12, store pixel values without any lossy step at all. Converting lossless WebP to PNG is a true lossless operation in the fullest mathematical sense, with zero data loss anywhere in the pipeline. These files are common for logos, app icons, UI component graphics, and any asset where exact colour reproduction matters for brand consistency or pixel-accurate interface work. For lossless source WebP files, the PNG you receive from the FixTools conversion is mathematically identical to the original source pixels before any WebP encoding took place, and a binary diff between the two pixel buffers will show no difference whatsoever.
There is also a colour management dimension to consider when chasing zero quality loss across format boundaries. WebP supports embedded ICC colour profiles, and so does PNG, but the browser canvas pipeline decodes the WebP into a working colour space (typically sRGB) and re-encodes the PNG in the same space, which is correct for the vast majority of consumer web images that were authored in sRGB to begin with. For brand-critical assets that ship with explicit non-sRGB profiles, such as wide-gamut imagery prepared for HDR or P3 displays, the round trip through a canvas may rasterise to sRGB and lose the wider colour information. If your work depends on preserving a specific non-sRGB profile across the conversion, verify the result in a colour-managed application before declaring the conversion truly lossless for your specific workflow.
Upload your WebP and convert to PNG. The output is a pixel-perfect lossless PNG, no quality loss, no compression artifacts, and full transparency support.
Step-by-step guide to convert webp to png without losing quality:
Upload your WebP image
Open the FixTools Image Format Converter and upload your WebP file by dragging it from your Desktop, Downloads folder, or any cloud-synced location onto the upload area, or by clicking the area to bring up your operating system file picker. The converter accepts WebP files of any size that your browser can hold in memory, and it recognises WebP correctly even when the filename extension has been changed to .jpg or .png by a website that served the file with a mismatched URL.
Select PNG as output
Choose PNG from the output format selector beneath the upload area. PNG is the lossless option in the format list, with no quality slider needed because PNG always stores every pixel value exactly. There is no encoding parameter to adjust for PNG output, so the conversion produces a fully lossless file every time regardless of any other settings, and the selection is remembered across the rest of your browser session for further conversions.
Convert to PNG
Click Convert. The WebP image is decoded using your browser's built-in WebP decoder, the resulting pixel data is drawn onto an off-screen HTML5 Canvas, and the canvas is exported as a PNG using the canvas toBlob method. No quality is lost during any step of this pipeline. The decoded pixels are written to the PNG exactly as they came out of the WebP decoder, so the PNG and the WebP carry identical visible image content when viewed at any zoom level.
Download your lossless PNG
Click Download to save the resulting PNG to your default Downloads folder. The file contains a pixel-for-pixel representation of the original WebP image, with the same dimensions, the same transparency, and the same colour values as the source. You can open the PNG in any image editor for a binary diff against the source WebP if you want to confirm the lossless guarantee for yourself, particularly for lossless WebP source files where the match is mathematically exact.
Common situations where this approach makes a real difference:
Retoucher preparing a base file for colour correction
A photo retoucher receives a lossless WebP logo from a web developer and needs to colour-correct it in Photoshop before placing it on a printed marketing collateral piece. Converting the WebP to PNG in FixTools gives them a lossless base file to load into the Photoshop session. Every colour adjustment, mask edit, and curves tweak applied to the PNG can be saved and re-saved as the retouching iterates without accumulating any quality loss, ensuring the final delivered logo matches the brand colour specification exactly down to the pixel level when reviewed against the brand book.
Archivist preserving digital exhibit images
A museum archivist downloading exhibit images served as WebP from the institution's public website needs to store the files in a preservation-ready format for the long-term digital archive. Converting each WebP to PNG ensures the archive copies are lossless within the bounds of whatever the source WebP contained, regardless of whether the original was encoded in lossy or lossless mode. This provides the highest quality version available from the web source for the institution's permanent record, and the PNG format is broadly readable by archival software with no risk of obsolescence in the foreseeable future.
Print production specialist preparing web images for press
A print production specialist receives WebP files from a marketing team for inclusion in a quarterly product brochure and needs to prepare them for a commercial print press workflow that requires lossless image input throughout the prepress chain. Converting each file to PNG in FixTools gives a lossless working file suitable for the colour management, soft-proofing, and final imposition steps performed by the printer. The specialist also checks the source WebP header to confirm whether each file was lossy or lossless before certifying the resulting PNGs as quality-verified for the press run.
Get better results with these expert suggestions:
Check if your WebP is lossless before declaring it quality-perfect
Open the WebP file in a hex editor such as HxD on Windows or Hex Fiend on Mac, or use a command-line tool such as ExifTool, and inspect bytes 12 through 15. Lossless WebP files contain the ASCII string VP8L at that offset, while lossy WebP files contain VP8 followed by a single space. This single check tells you whether the PNG conversion will be truly lossless in the mathematical sense or merely a lossless copy of an already lossy source, which matters when documenting provenance for archival or colour-critical work.
PNG is the right format when zero further quality loss matters
If you plan to edit the image multiple times and re-save it between edits, start with PNG rather than going through another round of lossy encoding. PNG as an intermediate working format ensures that every edit-save cycle introduces no additional quality loss, unlike JPEG which degrades slightly with each re-save due to repeated discrete cosine transform quantisation. Only at the final export step should you consider switching to a lossy format such as JPEG or AVIF if file size for distribution is the primary concern.
Lossless WebP is common for logos and UI assets
Web developers often use lossless WebP for logos, app icons, interface element graphics, and any visual asset where exact colour reproduction is required for brand consistency. When you receive these files from a developer through a handoff package, or download them from a production site's asset folder, they are very likely encoded in lossless mode and will convert to PNG with perfect mathematical fidelity. Photographs, on the other hand, are almost always encoded as lossy WebP because the file size benefit is significant and the visible quality difference is minimal at typical quality settings.
File size increase after conversion is not quality loss
A PNG converted from WebP is typically 20 to 50 percent larger in file size than the source WebP, and lossless WebP to PNG conversions sit at the higher end of that range. This does not mean any quality was lost during the conversion. It simply reflects that PNG uses an older Deflate-based compression algorithm that is less efficient than the modern compression methods built into WebP. Both files contain mathematically identical pixel data for a lossless source; the PNG just stores that data using more bytes because its compression scheme is less aggressive.
More use-case guides for the same tool:
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