SuperAPI AI Directory

MetadataRemover.ai

MetadataRemover.ai is a free online image metadata removal tool that processes JPG, PNG, and WebP images locally in the browser, removing EXIF, GPS, XMP, IPTC, and AI-generated related metadata. The tool emphasizes 100% privacy protection: selected files are not uploaded, and processing, cleaning, and read-back verification are all completed in browser memory, with downloads using blob URLs. It supports single-image processing as well as batch processing of 2–20 images, offers Privacy Safe, Normalize & Strip, or custom cleaning presets, and allows cleaned files to be checked again before download. Use cases include creators removing location and device information before publishing works, checking prompts and source data in AI image workflows, social and content teams applying uniform privacy processing before entering a CMS, and privacy checks before sharing screenshots and family photos in daily life. The tool cannot remove pixel-level invisible watermarks (such as SynthID), AI classifier results, label records already held by platforms, or copies cached outside the file, nor can it guarantee that a file is completely anonymous. HEIC, HEIF, and AVIF are not directly supported, and PDFs require its separate PDF metadata tool.

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About this tool

MetadataRemover.ai is a free online image metadata removal tool whose core purpose is to help users inspect and remove metadata hidden in files, such as EXIF, GPS coordinates, XMP, IPTC, and AI generation parameters, before sharing images. It supports three common image formats, JPG, PNG, and WebP, with a maximum single-file size of 25 MB. The tool runs entirely locally in the browser: after a user selects an image, the file bytes, file name, and extracted values remain in browser memory and are not uploaded to a server; downloads are completed via blob URLs. The page itself and optional analytics components may still make network requests, but the bytes and extracted values of selected files are not sent.

In terms of main capabilities, the tool can remove EXIF/GPS coordinates, device information, and shooting parameters embedded in images; XMP, IPTC, and text fields such as author, copyright, keywords, descriptions, software, and edit history; tEXt, iTXt, and zTXt text chunks in PNGs; and embedded AI prompts, seeds, models, samplers, and workflow parameters. It also supports removing supported C2PA/JUMBF provenance container markers, but clearly states that this is a removal operation, not signature verification. The tool provides readable reports before and after processing, allowing users to view detected metadata groups and selected readable values before deciding how to clean. Cleaning presets include Privacy Safe, Normalize & Strip, and custom batch policies. Batch processing supports selecting 2–20 JPG, PNG, or WebP images at a time, including preflight checks, a single cleaning preset, output verification, and a ZIP report, all running locally. When downloading verified output, TXT, JSON, and CSV reports can also be obtained.

In terms of usage, users can select a JPG, PNG, or WebP image, view the detected metadata fields, choose a cleaning mode, and then download and recheck the verified copy; the original file remains unchanged. For batch processing, users first run a preflight check to view accepted files, detected metadata, and quarantined failures, then apply a cleaning preset, and finally download output with verification evidence. The tool page also mentions an open-source CLI, a Chrome extension, and local processing. If unsure whether removal is needed, users can first use the free Metadata Viewer to view an image without making any changes; if a field value needs to be corrected, Metadata Editor can be used.

Use cases include: creators andPhotographers remove location and device information before publishing client work or personal photos; in AI image workflows, understand the prompts, workflow details, and source data that AI images may store before delivery; social and content teams establish a unified privacy handling step before images enter a CMS or publishing queue; privacy-conscious users check before sending screenshots, product listings, or family photos off their devices.

In terms of limitations, tools can only remove supported fields within a file and cannot remove pixel-level signals, such as SynthID, visible private details, AI classification results based on visual patterns, tags and records already held by platforms, as well as copies, caches, or reprocessed results outside the cleaned file. Removing metadata does not mean the file is completely anonymous. In terms of formats, HEIC, HEIF, and AVIF are not directly supported; iPhone photos may automatically provide a usable JPEG copy, but you need to check and clean the copy that the tool actually displays. PDFs require the separate PDF Metadata Remover, PDF Metadata Viewer, or PDF Metadata Editor. Privacy Safe and custom modes usually retain color profiles, but non-standard EXIF orientation may need to be normalized; Normalize & Strip re-encodes still images and may change compression.