SIEV, a fuzzy reverse image search API
SIEV, a fuzzy reverse image search API launched on June 5, 2020 with 16 votes, #969 of 4,317 launches that month and more than 75% of that year's launches. The site was not reachable when checked in September 2026.
In plain words
SIEV is a reverse image search API that uses fuzzy matching technology to find similar images. Launched in 2020, it's designed for developers who need to integrate image recognition capabilities into their applications. The API enables users to search for visually similar images rather than exact matches, making it useful for content moderation, duplicate detection, and visual discovery features in software products.
written from the facts on this page · September 2026
Does a similar job
all alternatives →- TITransformation Invariant Reverse Image Search2017 · pippy360.github.io · ▲166
Scalable reverse image search built on Kubernetes and Elasticsearch2016 · github.com · ▲139:crystal_ball: Scalable reverse image search built on Kubernetes and Elasticsearch - dsys/match

Meilisearch AI2025 · meilisearch.com · ▲241Boost relevance and UX with fast hybrid and semantic search
Reverse Image Search2023 · iconscout.com · ▲170Find design assets that are similar-looking to your images
- SPSearchbase – Plug-n-play semantic/fuzzy search for your data2024 · searchbase.dev · ▲63
Step into the future with Searchbase Cloud's AI-enhanced search capabilities. Effortless to integrate, intuitive to use, and built for insightful discoveries. Transform your data into action with the smartest search on the market. Join the revolution.
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