> ## Documentation Index
> Fetch the complete documentation index at: https://docs.liquid.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Examples Library

## Laptop

<CardGroup cols={2}>
  <Card title="Invoice Extractor Tool" icon="file-invoice" href="/examples/laptop-examples/invoice-extractor-tool-with-liquid-nanos">
    Turn invoices into structured JSON using a lightweight Vision Language Model. 100% local, no API costs.
  </Card>

  <Card title="Audio Transcription in Real-Time" icon="microphone" href="/examples/laptop-examples/audio-to-text-in-real-time">
    Build a real-time audio transcription CLI using LFM2-Audio-1.5B with llama.cpp. 100% local processing without internet connection.
  </Card>

  <Card title="English-Korean Translation" icon="globe" href="/examples/laptop-examples/lfm2-english-to-korean">
    Efficient bidirectional translation system powered by LFM2 1.2B fine-tuned for Korean-English translation with automatic language detection.
  </Card>

  <Card title="Flight Search Assistant" icon="plane-departure" href="/examples/laptop-examples/flight-search-assistant">
    Python CLI leveraging LFM2.5-1.2B-Thinking for multi-step reasoning and tool calling to find and book flights.
  </Card>

  <Card title="Audio Car Cockpit Demo" icon="car" href="/examples/laptop-examples/audio-car-cockpit">
    Voice-controlled car cockpit interface combining LFM2.5-Audio-1.5B in TTS/STT modes with LFM2-1.2B-Tool. Real-time local processing.
  </Card>

  <Card title="Meeting Summarization CLI" icon="users" href="/examples/laptop-examples/meeting-summarization">
    100% local meeting summarization tool using LFM2-2.6B-Transcript and llama.cpp. No cloud services or API keys required.
  </Card>

  <Card title="Browser Control with GRPO" icon="browser" href="/examples/laptop-examples/browser-control">
    Train language models for web automation using reinforcement learning. Demonstrates GRPO fine-tuning with BrowserGym environments.
  </Card>
</CardGroup>

## Android

<CardGroup cols={2}>
  <Card title="Product Slogan Generator" icon="sparkles" href="/examples/android/slogan-generator">
    Android app for single-turn generation of creative product slogans using local AI models. Built with traditional Android Views.
  </Card>

  <Card title="Web Content Summarizer" icon="newspaper" href="/examples/android/web-content-summarizer">
    Share web pages from any browser to this Android app for instant AI-powered summarization. Complete privacy with local processing.
  </Card>

  <Card title="Structured Recipe Generator" icon="utensils" href="/examples/android/recipe-generator-constrained-output">
    Generate recipes with guaranteed JSON structure using constrained generation. Demonstrates automatic model downloading with LeapSDK.
  </Card>

  <Card title="Vision Language Model Demo" icon="eye" href="/examples/android/vision-language-model-example">
    Analyze images and answer visual questions on Android using Vision Language Models. Built with Jetpack Compose and Coil.
  </Card>

  <Card title="AI Agents with Koog" icon="robot" href="/examples/android/leap-koog-agent">
    Build intelligent AI agents on Android with the Koog framework. Demonstrates tool invocation, context management, and MCP integration.
  </Card>
</CardGroup>

## Web

<CardGroup cols={2}>
  <Card title="Hand & Voice Racer" icon="gamepad" href="/examples/web/hand-voice-racer">
    A browser driving game controlled with your hands and voice. MediaPipe tracks hand gestures for steering while LFM2.5-Audio-1.5B transcribes voice commands. Fully local, no server round-trips.
  </Card>

  <Card title="Audio Browser Demo" icon="waveform-lines" href="/examples/web/audio-webgpu-demo">
    Run LFM2.5-Audio-1.5B entirely in the browser with WebGPU. Supports ASR, TTS, and interleaved audio-text conversations. No data sent to external servers.
  </Card>

  <Card title="Real-Time Video Captioning" icon="video" href="/examples/web/vl-webgpu-demo">
    Real-time video captioning with LFM2.5-VL-1.6B running fully client-side via WebGPU and ONNX Runtime Web. No cloud inference required.
  </Card>
</CardGroup>

## Model Customization

<CardGroup cols={2}>
  <Card title="Car Maker Identification" icon="car" href="/examples/customize-models/car-maker-identification">
    Fine-tune LFM2-VL to identify car makers from images. Learn structured generation with Outlines and parameter-efficient fine-tuning with LoRA.
  </Card>

  <Card title="Local Home Assistant" icon="house" href="/examples/customize-models/home-assistant">
    Build and fine-tune a fully local home assistant for tool calling. Covers benchmarking, synthetic data generation, LoRA fine-tuning on Modal, and deployment with llama.cpp.
  </Card>

  <Card title="Satellite VLM Fine-Tuning" icon="satellite" href="/examples/customize-models/satellite-vlm">
    Fine-tune LFM2.5-VL-450M on satellite imagery for VQA, visual grounding, and captioning using leap-finetune and Modal.
  </Card>

  <Card title="Wildfire Prevention System" icon="fire" href="/examples/customize-models/wildfire-prevention">
    Build a wildfire risk detection system using LFM2.5-VL-450M running on-board a satellite.
  </Card>
</CardGroup>

## Cannot find the example you need?

<CardGroup cols={1}>
  <Card title="Join our Discord" icon="discord" iconType="brands" href="https://discord.gg/DFU3WQeaYD">
    Connect with the community and let us know what examples you'd like to see.
  </Card>
</CardGroup>