Best cross-platform applications tools in 2025

Codiqa

Build modern mobile experiences across platforms effortlessly.

TensorFlow Lite

Lightweight framework for efficient AI model deployment on edge devices.

FlutterFlow AI Gen

Create stunning mobile applications without coding knowledge.

DLib

C++ library for advanced machine learning and image processing.

Teachable Machine

Train computers to recognize images, sounds, and poses effortlessly.

Albumentations

Image augmentation library for enhancing datasets in deep learning.

Tensorflow Object Detection API

Automated solution for precise object identification in images and videos.

IntelliBrush

An intuitive image annotation solution for precise labeling.

EyePop

Streamlined AI model training for object detection and analysis.

Apple Create ML

User-friendly machine learning model development for Mac users.

U-Net

Advanced image segmentation solution built on TensorFlow.

Caffee

Framework for building deep learning models efficiently.

CLIPSeg

Image segmentation using text or image prompts with minimal setup.

Thing Translator

Translate objects into different languages with audio support.

Roboco

AI assistant for text, image creation, and productivity enhancement.

Magic Copy

Effortlessly isolate objects from images for creative projects.

Google ML Kit

Enable advanced features in mobile applications with machine learning.

Synthetaic

Advanced AI for swift visual data analysis and monitoring.

Supersense

Mobile scanner for text and object recognition with voice feedback.

Deformable Convolutional Network (DCN)

Flexible convolutional filters for enhanced image analysis accuracy.

AI Cam Lens

Instantly recognize and learn about anything in your surroundings.

WTF is that?

Identify objects effortlessly with image recognition technology.

Scikit Learn

Accessible library for predictive data analysis and machine learning.

Facebook’s PyTorch

Dynamic framework for building deep learning models.

MATLAB

Programming environment for numerical computing and data analysis.