Image Search
Everything about building image search — reverse image lookup, text-to-image search, face search, visual search for e-commerce, and OCR. Tutorials, architecture breakdowns, and production cost analysis.
How to Add 'Find Similar Products' to Your Online Store
The 'similar products' section is the highest-converting feature most stores don't have. Here's how to build one that actually works, with full code.
Giorgi Kenchadze2026-03-28How Real Estate Platforms Use Image Search to Sell Faster
Buyers search by describing what they want, not by filtering checkboxes. Image search lets them upload a photo of a kitchen they like and find every listing with a similar one.
Mariam Rokhvadze2026-03-25How to Build an Image Similarity Feature in Python
Build an image similarity search in Python. Upload a photo, find visually similar images in your database. Also works with text descriptions. Full code included.
Giorgi Kenchadze2026-03-23Vecstore vs Imagga: We Tested Both Image Search APIs
We signed up for Imagga, tested their visual search API, and compared it to Vecstore. Here's how the two approaches differ and when each one makes sense.
Giorgi Kenchadze2026-03-23How to Search Images by Text Description (Text-to-Image Search)
Text-to-image search lets users type a description and find matching images. No tags, no metadata, no manual labeling. Here's how it works and how to add it to your app.
Giorgi Kenchadze2026-03-22How to Add Image Search to a React App
Build a working image search component in React. Users can search by text description or upload a photo to find similar images. Full code included.
Giorgi Kenchadze2026-03-17How to Add Face Search to Your App
Face search lets users upload a photo and find every match across your entire image library. Here's how it works, where it's useful, and how to add it without building your own ML pipeline.
Giorgi Kenchadze2026-03-08What It Costs to Search 1M Images in Production
GPU inference, vector storage, image hosting, backend servers. I broke down every piece of the infrastructure and added up the monthly bill.
Giorgi Kenchadze2026-03-08OCR Search: Find Images by the Text Inside Them
Most image search looks at what's in the picture. OCR search finds images by the text inside them — signs, screenshots, documents, memes, and more.
Giorgi Kenchadze2026-02-24How to Build a Reverse Image Search Engine with JavaScript
Most reverse image search tutorials involve CLIP models, vector databases, and weeks of setup. Here's how to build one in under 20 minutes with a simple API.
Giorgi Kenchadze2026-02-16How to Add Image Search to Your App (Without Training a Model)
Most developers think image search means training ML models and managing GPU servers. It doesn't have to. Here's the practical breakdown.
Mariam Rokhvadze2026-02-12Visual Search Is Changing How People Shop Online
Shoppers don't always have words for what they want. Visual search lets them use a photo instead — and the data shows it converts better than text search.
Mariam Rokhvadze2026-02-05Explore More Topics
Browse other content hubs.
Semantic Search
Go beyond keyword matching. Learn how semantic search understands meaning, how vector databases power it, and how to add it to your product. Comparisons, explainers, and integration guides.
Tutorials
Step-by-step coding guides for adding search, image recognition, and content moderation to your app. Python, JavaScript, React, Next.js — full code included.
Industries
How different industries use image search, semantic search, and content moderation. Real estate, fashion, marketplaces, dating apps, and more.
Comparisons
Side-by-side breakdowns of search and vector database tools. Vecstore vs Pinecone, Vecstore vs Algolia, and more — so you can pick the right tool for your stack.
Content Moderation
Automate NSFW detection and content moderation without building your own ML pipeline. Practical guides for keeping user-generated content safe at scale.