Compare Amazon Rekognition to these popular alternatives based on real-world usage and developer feedback.

Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API.

Tesseract was originally developed at Hewlett-Packard Laboratories Bristol and at Hewlett-Packard Co, Greeley Colorado between 1985 and 1994, with some more changes made in 1996 to port to Windows, and some C++izing in 1998. In 2005 Tesseract was open sourced by HP. Since 2006 it is developed by Google.

It is the official Portable Network Graphics (PNG) reference library. It is a platform-independent library that contains C functions for handling PNG images. It supports almost all of PNG's features, is extensible, and has been widely used and tested.

This library supports over 60 languages, automatic text orientation and script detection, a simple interface for reading paragraph, word, and character bounding boxes. Tesseract.js can run either in a browser and on a server with NodeJS.

It is an open-source JPEG 2000 codec written in C language.

It is a barcode scanning library for Java, Android. Decode a 1D or 2D barcode from an image on the web.

It is ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai.

It is a free library for JPEG image compression.

It tags, classifies, and organizes your real estate images.

scanR is a simple OCR API service that supports 32 languages and can extract text from images or PDF files.

Meta's SAM 3D brings human-level 3D perception to computer vision. Reconstruct objects and bodies from single images with unprecedented accuracy and speed.

Free AI-powered image to prompt generator. Upload images and get detailed prompts for AI art generation with our advanced converter.

Is this image AI-generated? Free AI detector with 99.7% accuracy detects fake photos, deepfakes, and AI images from DALL-E, Midjourney, Stable Diffusion. No signup required.

An API that embeds high-dimensional data like images and text. You send an image, and you back a vector of floats.

It is an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the corresponding downstream tasks including key information extraction.