Liner.ai

Liner.ai — Machine Learning without Code

Liner.ai is a no-code platform that lets you train machine learning models easily from your own data. It automatically selects appropriate models and trains them with a simple three-step workflow, then exports the trained model for integration into your application. All training happens locally on your computer, with a focus on speed, privacy, and ease of use.

---

How it works

1. Import your data: Bring in your data and preview it inside Liner. You can also use a pre-labeled dataset.
2. Start training: Press a button and Liner automatically selects a suitable model and trains it.
3. Deploy your model: Export the trained model to multiple platforms and integrate it into your app with minimal effort.

---

Project templates

Liner ships with several ready-to-use machine learning types. Just choose the type and add your data to start training:

• Image Classification
• Text Classification
• Audio Classification
• Video Classification
• Object Detection
• Image Segmentation
• Pose Classification

Looks fun? Download now!

---

Why Liner

• Optimized for speed and accuracy: state-of-the-art models that train quickly, often within minutes.
• CPU-friendly: models are optimized to train well on standard CPUs, no GPU required.
• Edge-ready: trained models can run on mobile and edge devices.
• Cross-platform exports: export your model to several platforms.
• Unlimited projects: manage many ML projects with extensive blocks and templates.
• Team management and file sharing: collaborate and organize projects with team-oriented features.
• Local data privacy: training happens locally; data never leaves your computer.
• Free to use: Liner is completely free to use on Windows and macOS.

Platforms and downloads

• Windows
• macOS (Intel and Apple Silicon)
• Note: Liner runs locally; no cloud data transfer by default.

Safety, privacy, and support

• Your data stays on your machine; nothing is sent to the cloud unless you choose to export.
• There is community support and a channel for feature requests or help.

---

Features

• No-code/low-code ML model training
• Three-step workflow: Import → Train → Deploy
• Local training with data privacy (no cloud data transfer by default)
• CPU-friendly and edge-optimized models
• Multiple ML task templates: image/text/audio/video classification, object detection, segmentation, pose classification
• Easy model export to multiple platforms
• Quick training times (often minutes)
• Cross-platform: Windows and macOS
• Unlimited projects and templates for rapid experimentation
• Team management and file sharing for collaboration