Berify vs LocalLens

Berify is a web service for finding online appearances of images, including possible unauthorized uses. It searches an index of over 800 million images and queries Google, Bing, Yandex, and TinEye. Its matching system looks for exact results and visually similar versions, including images that have been cropped, filtered, resized, or compressed. For video searches, Berify extracts key frames and searches those images across the same services. A free tier provides basic reverse image search; paid plans add automatic monitoring and priority processing. The 1,000 Images plan is $5.95 per month, and the 6,000 Images plan is $24.95 per month. Business costs $49.99 per month and includes API access, batch CSV search, up to five team seats, forensic PDF reports, and dedicated support with an SLA. Its reports can include source URLs, discovery dates, and visual similarity scores. Berify says uploaded images are temporarily stored for processing, then deleted, and are not added to a public database or shared with third parties. Unused searches do not roll over between monthly billing dates.

LocalLens is an offline visual search engine for image and video collections stored locally. It indexes directories recursively into ChromaDB, then searches indexed media using text descriptions and ranks results by similarity. Users can upload an image to find visually similar files, or combine image and text inputs to refine a search. A duplicate finder surfaces duplicate and near-duplicate image pairs using a similarity threshold. Listed formats include JPG, PNG, WebP, MP4 and MKV. The project provides a Gradio web interface and a command-line interface, and can sync indexed folders when files are added or deleted. Supported vision embedding backbones include SigLIP 2, MetaCLIP, DFN-CLIP and CLIP. LocalLens is open-source under Apache-2.0 and has a free plan, with no paid plans or usage limits stated. Portable builds are available for Windows, Linux and macOS; Linux and macOS require Python 3.10 or later and Git. The documented baseline is a 4-core CPU, 8 GB RAM, 0 GB VRAM and 20 MB storage; higher CPU, RAM and VRAM are recommended.