String Extractor
Scans the raw binary of any image file and extracts all readable text sequences — URLs, software names, file paths, GPS coordinates, author info, and hidden comments that standard EXIF viewers may miss.
500+ files scanned
Drag & drop a file here, Ctrl+V to paste, oror
Shorter = more results (including noise). Longer = only meaningful strings.
Binary String Scanning
Reads every byte of the file and extracts sequences of printable ASCII characters above a configurable minimum length — regardless of file format or container structure.
Smart Categorization
Results are automatically sorted into categories — URLs, emails, GPS coordinates, software names, file paths, copyright, timestamps, and more — so the most useful strings surface first.
100% Private
All extraction runs locally in your browser using the File API. Your image is never uploaded to any server. Works on all image formats — JPG, PNG, WebP, GIF, TIFF, SVG, and more.
How string extraction works
String extraction scans a file byte by byte, collecting consecutive printable ASCII characters (0x20–0x7E) above a minimum length threshold. This technique — borrowed from binary analysis and the Unix strings utility — bypasses file format parsers and reads the raw binary. It surfaces text that is embedded anywhere in the file: file headers, comment fields, XMP blocks, IPTC data, embedded thumbnails, and compression streams. For structured EXIF metadata, the EXIF Checker gives field-by-field results. For binary-level JPEG structure, see the JPEG Structure Analyzer.
File paths as forensic evidence
Image editing software frequently embeds the original file path in the binary — Photoshop writes the PSD source path, camera tethering software logs the capture destination, and document converters include the host system path. A file path exposes the username, folder structure, and sometimes the hostname of the creator's machine. This is particularly valuable in OSINT investigations, copyright disputes, and provenance verification. For additional identity signals in metadata, use the EXIF Viewer and the Authenticity Checker.
URLs embedded in image files
Images often carry embedded URLs that reveal their history. XMP metadata uses namespace URLs like http://ns.adobe.com/. Stock agency watermarks reference licensing URLs. Social platform re-encodes embed tracking parameters. Camera firmware versions link to manufacturer update servers. ICC color profiles include registry URLs. These strings survive most stripping operations because they live inside the binary structure rather than in standard metadata fields. For privacy-sensitive metadata removal, use the EXIF Remover. For a full privacy assessment, run the Privacy Score tool.
String extraction in OSINT and forensics
Investigators use string extraction to recover attribution data from files where EXIF has been deliberately stripped. Software names, usernames in file paths, copyright strings, and serial numbers often survive the stripping because they reside in format-specific comment fields or embedded resources that naive strippers ignore. On PNG files, tEXt and iTXt chunks carry arbitrary key-value pairs. On TIFF files, tag 0x013B (Artist) and 0x8298 (Copyright) hold plain text. For steganographic hidden data beyond readable text, use the Stego Scanner. For bit-level hidden patterns, try the Bit Plane Analyzer.
String extraction works on every image format because it reads raw bytes — no format knowledge required. This makes it especially powerful on unusual formats, corrupted files, or files with stripped headers that confuse dedicated parsers. The minimum length setting controls the signal-to-noise ratio: 4 characters surfaces everything including short keys; 8–12 characters gives cleaner results focused on meaningful text. All processing runs entirely in your browser. For a complete forensic workflow combining noise analysis, compression artifacts, and metadata, visit the photo forensics hub. For clone detection and manipulation analysis, see Clone Detection. Learn more in our articles on steganography explained and digital evidence integrity.