What is Liner.ai?

Liner.ai is a cross‑platform, no‑code machine‑learning application that trains models locally on a user’s computer. It accepts structured or media datasets—image, text, audio, or video—automatically selects an appropriate algorithm, and completes training within minutes, keeping all data on the device for privacy.

The interface offers ready‑to‑use templates for image classification, text classification, audio classification, video classification, object detection, image segmentation, and pose classification, enabling developers, designers, and data‑analysis novices to build AI features without coding.

Trained models can be exported in common formats for web, mobile, or edge deployment, allowing seamless integration into applications. Users can manage multiple projects, share files, and collaborate, all while maintaining full control over data and model performance.

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Liner.ai's key features

  • Train ML models without coding
  • Import and preview data in-app
  • Auto-select model and train instantly
  • Export models to multiple platforms
  • Edge-optimized models for mobile devices
  • Train locally on CPU, no GPU
  • Supports image, text, audio, video classification

Liner.ai use cases

  • Train a local image segmentation model for a portable ultrasound device using Liner.ai's ready‑to‑use templates without coding, ensuring patient data stays on the device for privacy
  • Build an on‑device audio classification model for a safety alert app on Android, training locally with Liner.ai and exporting the model for edge deployment
  • Create a real‑time wildlife detection system on a Raspberry Pi using Liner.ai's image recognition template, training locally in minutes and exporting the model for edge deployment without cloud dependency

Who is it for?

  • Software developers
  • Machine learning engineers
  • Data analysts
  • Devops engineers
  • Product managers

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