- Baidu Image — Reverse image search and AI image creation by Baidu
- Bing Visual Search — Reverse image search from Microsoft
- Google Images — Reverse image search and visual similarity
- Google Lens — Search by camera, image, or screenshot; identifies objects, text, and landmarks
- Yandex Images — Powerful reverse search, especially for faces and objects
- TinEye — Reverse image search with focus on older content
- SauceNAO — Reverse image search across art, anime, and illustration databases
- Karma Decay — Reverse search for Reddit images (reported to be unreliable since Reddit's API restrictions)
- Archivarix Retrace — Reverse image search that traces a picture's earlier copies, first-seen date and likely location, with a source link for each finding
- ExifTool — Extract, read, and edit metadata in images, audio, and video (main site is currently a placeholder because its host disabled it; documentation and downloads are on the SourceForge mirror)
- Metadata2Go — Online EXIF/metadata viewer for images, video, audio, and documents
- Pic2Map — Extract GPS coordinates and EXIF data from a photo and show where it was taken
- Forensically — Online forensic suite for images, processed locally in the browser
- FotoForensics — Error Level Analysis and image authenticity tools
- Image Edited? — Quick analysis of digital image edits
- MeVer Image Verification Assistant — Web-based image forensics to help assess whether a photo has been manipulated
- Sherloq — Open-source desktop toolset for digital image forensic analysis
- Aperi'Solve — Online layer and steganography analysis of images to reveal hidden data
- Content Credentials Verify — Check an image's provenance and edit history when it carries C2PA Content Credentials
- Photopea — Free browser-based photo editor for cropping, adjusting levels, and annotating images
- Upscayl — Free, open-source AI image upscaler for Linux, macOS, and Windows
- iNaturalist — Community platform for identifying plants, animals, and fungi from photos; useful for placing a photo's location by its flora and fauna
- Pl@ntNet — Plant identification from photos, backed by a citizen science database