Web Content Summarizer for Android

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What’s inside?

• Android Share Intent Handling - Receive shared URLs from browsers and other apps
• Web Content Extraction - Scrape and parse web page content
• Local LLM Summarization - Generate concise summaries on-device
• Privacy-preserving Processing - All content analysis happens locally
• Intent Filter Configuration - Proper manifest setup for share functionality
• Asynchronous Processing - Handle web fetching and AI generation without blocking UI

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What it does

1. User finds interesting content - Browse any website in Chrome, Firefox, or other browsers
2. Share to ShareAI - Tap the share button and select ShareAI from the share sheet
3. Automatic extraction - The app fetches and parses the web page content
4. AI summarization - LeapSDK processes the content and generates a concise summary
5. Read or share summary - View the summary in-app or share it to other apps

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Environment setup

dependencies {
    // LeapSDK for AI processing (0.9.7+)
    implementation("ai.liquid.leap:leap-sdk:0.9.7")

    // Networking for web scraping
    implementation("com.squareup.okhttp3:okhttp:4.12.0")
    implementation("org.jsoup:jsoup:1.17.2")

    // Coroutines for async operations
    implementation("org.jetbrains.kotlinx:kotlinx-coroutines-android:1.7.3")

    // Android UI components
    implementation("androidx.appcompat:appcompat:1.6.1")
    implementation("com.google.android.material:material:1.11.0")
}

<activity
    android:name=".MainActivity"
    android:exported="true">

    <!-- Handle text shares (URLs) -->
    <intent-filter>
        <action android:name="android.intent.action.SEND" />
        <category android:name="android.intent.category.DEFAULT" />
        <data android:mimeType="text/plain" />
    </intent-filter>

    <!-- Handle direct URL shares -->
    <intent-filter>
        <action android:name="android.intent.action.VIEW" />
        <category android:name="android.intent.category.DEFAULT" />
        <category android:name="android.intent.category.BROWSABLE" />
        <data android:scheme="http" />
        <data android:scheme="https" />
    </intent-filter>
</activity>

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How to run it

1. Clone the repository
   Copy

   Ask AI

   git clone https://github.com/Liquid4All/LeapSDK-Examples.git
   cd LeapSDK-Examples/Android/ShareAI
   
2. Open in Android Studio
   • Launch Android Studio
   • Select “Open an existing project”
   • Navigate to the ShareAI folder and open it
3. Gradle sync
   • Wait for Gradle to sync all dependencies
   • Ensure all libraries download successfully
4. Install on device
   • Connect your Android device or start an emulator
   • Click “Run” or press Shift + F10
   • The app will install on your device
5. Share a webpage to ShareAI
   • Open any browser (Chrome, Firefox, Samsung Internet, etc.)
   • Navigate to an article or blog post
   • Tap the browser’s share button
   • Select “ShareAI” from the share sheet
   • Wait for the app to fetch and summarize the content
6. View the summary
   • The app will display a concise summary of the web page
   • You can copy the summary or share it to other apps
   • Return to the browser or share another page

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Understanding the architecture

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Intent Handling Pattern

class MainActivity : AppCompatActivity() {
    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)
        setContentView(R.layout.activity_main)

        // Check if app was launched via share intent
        when (intent?.action) {
            Intent.ACTION_SEND -> {
                if (intent.type == "text/plain") {
                    handleSharedUrl(intent)
                }
            }
        }
    }

    private fun handleSharedUrl(intent: Intent) {
        val sharedText = intent.getStringExtra(Intent.EXTRA_TEXT)
        sharedText?.let { url ->
            if (url.startsWith("http")) {
                summarizeWebPage(url)
            }
        }
    }
}

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Web Content Extraction

suspend fun extractWebContent(url: String): String = withContext(Dispatchers.IO) {
    val client = OkHttpClient()
    val request = Request.Builder().url(url).build()

    val response = client.newCall(request).execute()
    val html = response.body?.string() ?: ""

    // Parse HTML and extract main content
    val document = Jsoup.parse(html)

    // Remove scripts, styles, and navigation
    document.select("script, style, nav, header, footer").remove()

    // Extract article text
    val content = document.select("article, main, .content").text()
    if (content.isNotEmpty()) content else document.body().text()
}

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LeapSDK Integration for Summarization

suspend fun summarizeContent(content: String): String = withContext(Dispatchers.Default) {
    val model = LeapSDK.loadModel("lfm2-700m")

    val prompt = """
        Summarize the following article in 3-5 concise sentences.
        Focus on the main points and key takeaways.

        Article:
        $content

        Summary:
    """.trimIndent()

    model.generate(prompt, maxTokens = 200)
}

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Complete Flow

1. Receive Intent → Extract URL from share intent
2. Fetch Content → Download HTML via OkHttp
3. Parse HTML → Extract main text content with Jsoup
4. Generate Summary → Process with LeapSDK on-device
5. Display Result → Show summary in UI with options to copy/share

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Demo

• Opening a news article in Chrome
• Tapping the share button
• Selecting ShareAI from the share sheet
• The app extracting and summarizing the content
• Displaying the final summary in a clean interface

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Results and use cases

• Quickly summarize academic articles or technical documentation
• Extract key points from long blog posts
• Get the gist of news articles without reading the full text

• Save summaries of interesting articles to review later
• Share concise summaries with colleagues or friends
• Build a personal knowledge base of summarized content

• Summarize sensitive content without sending it to cloud services
• Process work-related articles without data leaving your device
• Read summaries of paywalled content (from accessible portions)

• Decide if an article is worth reading in full
• Scan multiple articles quickly by reviewing summaries
• Stay informed while reducing screen time

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Further improvements

• Batch processing - Queue multiple URLs and summarize them in sequence
• Summary length control - Let users choose brief, medium, or detailed summaries
• Language detection - Automatically detect and handle non-English content
• Offline queue - Save shared URLs for summarization when model is available
• Export options - Save summaries as text files, PDFs, or to note-taking apps
• Reading time estimate - Show how long the original article would take to read
• Key quotes extraction - Highlight important quotes in addition to summary
• Topic tagging - Automatically categorize summaries by topic
• Summary history - Keep a searchable archive of all summarized content
• Custom prompts - Let users define their own summarization style
• Image extraction - Include relevant images from the article
• Multi-language summarization - Summarize in a different language than the source

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