You're asking whether there are Android apps that use the Kokoro TTS (Text‑to‑Speech) library for synthesizing speech. The short answer: there aren’t any well-known, production-ready Android apps on app stores using Kokoro, but there are several developer-level tools, demos, and demos/projects that integrate Kokoro on Android.

Existing Kokoro-based Android Tools and Projects

1. Kokoro‑82M‑Android (demo app)
   A minimal Android demo app showcasing on‑device inference using the Kokoro‑82M model (int8 quantized). It's more of a proof-of-concept than a polished app.
   GitHub

2. Farmaker47’s Kokoro TTS + Jetson App
   A GitHub project where you run a Kokoro TTS server (e.g., via Python/FastAPI), then connect an Android client (“Jetson_App”) that sends POST requests to generate speech.
   GitHub

3. Kokoro TTS Flutter Library
   Though it's a Flutter library—not a consumer-facing app—it offers a way to integrate Kokoro TTS into Flutter-based Android apps using ONNX Runtime. A basic Flutter interface could be built on top of it for Android.

   • Current package version 0.1.0 (5 days old) and example code exist.
     Dart packages+1

   • Version 0.2.0+1 is even newer (published about 22 days ago).
     Dart packages

4. ClickUi.app (as referenced by developers)
   On Reddit, someone mentioned “ClickUi.app”, which reportedly uses Whisper for speech-to-text and Kokoro for TTS. This suggests an existing application integrating Kokoro, though its availability or maturity is unclear.
   Reddit

Summary of What’s Available

Conclusions & Recommendations

• If you're looking for a ready-to-download Android app—there doesn't seem to be any publicly released on official app stores.

• For developers or tinkerers, the Flutter library and demo apps are excellent starting points.

• For a potential ready-made solution, “ClickUi.app” is intriguing, though it may not be publicly available yet—could be worth exploring further.

Let me know if you'd like help with any of these—such as setting up the Flutter integration, hosting a Kokoro server, or finding out more about that ClickUi app!

Here are several notable Android apps that use AI to synthesize speech, offering a range of features from natural-sounding text-to-speech to voice conversion tools:

Leading AI Text-to-Speech Apps on Android

• Speechify
  One of the most popular TTS apps, Speechify provides natural, AI-generated voices, supports scanning of physical text via OCR, and syncs across devices. It boasts hundreds of voices, celebrity-style options, and tools for editing speed, tone, and pitch filmora.wondershare.comeWEEKTechRadar維基百科Perfect Corp.getpeech.com.

• NaturalReader
  Offers both free and premium AI voices, OCR support, and compatibility with multiple document formats. It's highly accessible and well-rated for reading documents and images aloud play.htPerfect Corp.getpeech.comfilmora.wondershare.com.

• VoxBox
  Aimed at creators, this app provides over 3,000 AI voices in 50 languages, along with voice cloning, transcription, and audio editing capabilities filmora.wondershare.com.

• Filmora (Android)
  Primarily a video editor with prominent AI features, Filmora allows users to generate TTS voiceovers, clone voices, edit audio, and even create AI-generated videos—all in one workflow filmora.wondershare.com.

• Speaktor
  Known for its simplicity and multilingual support (40+ languages), Speaktor delivers realistic AI speech and lets users export MP3 files directly from the app Speaktor.

• VoicePal
  A growing favorite praised on Reddit for offering free, realistic AI voices with no usage limits. It supports OCR for audiobooks, document-to-audio conversion, web browsing in-app, note-taking, and Bluetooth controls Reddit+1.

• Fake Voice
  Recently launched on Android, this app allows users to create custom AI voices and convert text to speech. It's also gaining attention for its intuitive interface and credit-based system Reddit.

Emerging & Specialized AI-Powered Apps

• Frateca
  A newer app that transforms articles, PDFs, or copied text into high-quality, natural-sounding audio for listening like a podcast—streamlined and permission-light Reddit.

• Whispp
  Designed for users with speech disabilities, Whispp uniquely transforms whispered or raspy speech into clear, natural AI speech in real time—primarily to aid during phone calls TIME.

• Google Gemini (Live & Storybook)

  • Gemini Live: A conversational AI voice assistant on Android offering fluid, interactive speech experiences—designed for tasks from outfit advice to brainstorming. Some versions may require a subscription 華爾街日報The Sun.

  • Storybook: A newly announced feature in Gemini that generates illustrated bedtime storybooks with narrated audio—ideal for interactive storytelling The Times of India.

At-a-Glance Comparison

If you're considering a specific use—like reading eBooks, creating audiobooks, accessibility, creative projects, or assistive apps—I’d be happy to help you narrow down the best fit and guide you further!

Absolutely! Several Android AI TTS (text-to-speech) apps support reading text files and letting users select specific sentences or paragraphs to be read aloud. Here’s a breakdown of what some of the most popular tools offer:

Speechify (Android)

• Yes, you can upload text files such as documents or copy-paste text.

• Through the mobile app, the text is highlighted as it's read and you can tap on a sentence to jump to it.
  newsd.inaisupersmart.com

• In the web/Chrome extension version, hovering over a sentence reveals a play icon—clicking it reads that sentence.
  newsd.in

NaturalReader (Android)

• You can upload files (PDFs, DOC, EPUB, etc.) and also paste or type text directly.
  help.naturalreaders.comininet.org

• The app has a word highlight feature that shows the active sentence or word during playback.
  help.naturalreaders.com

• Users can search within documents, bookmark specific sentences, and return to them later.
  help.naturalreaders.com

Other Tools Mentioned by Users

• Speechify users on Reddit have noted difficulties with selecting body text in certain PDFs but confirmed that selecting and reading specific sections works in many cases via PDF upload. One workaround: printing to PDF and uploading.
  Reddit+1

• Other Android TTS apps like ReadEra allow opening various file formats (PDF, EPUB, DOC, TXT), and they highlight each sentence as it's read, letting users follow along easily.
  Reddit

Summary Comparison

Recommendation

• If you want robust support for selecting and bookmarking sections, go with NaturalReader—it provides search, sentence highlighting, and bookmarks.

• Speechify is great if you appreciate intuitive UI and sentence-level navigation.

• For a lightweight reader with basic functionality, ReadEra (or similar) may suffice.

Let me know if you’d like help setting up any of these, or want suggestions based on documents you're working with!

Here’s what I found about offline support in the Android TTS apps we discussed:

Speechify (Android)

Yes, Speechify offers offline listening, but with limitations. Users can download content in MP3 format for offline use—that said, many experiences report that premium voices and extensive text may still require an internet connection or face download limits.SpeechifyReddit+1

NaturalReader (Android)

There’s scattered mention of a “hidden offline mode” that allows users to download voice packs for offline reading. It sounds promising, though anecdotal.goodnovel.com

Reddit-Sourced Alternatives & Insights

• VoiceAloud Reader (often referred to as “@Voice Aloud Reader”) is frequently recommended for offline use. Users say it handles formats like EPUB and PDF well, allows exporting to audio files, and supports offline playback.goodnovel.com

• Apps like Pocket, Voice Dream Reader, and PocketBook Reader are praised for letting users save articles or books beforehand—then reading them aloud offline.goodnovel.com

On-Device (Local) TTS Engines

For true offline functionality—without relying on internet or cloud services—Android supports several local TTS engines:

• Google Text-to-Speech

• Samsung Text-to-Speech (noted for sounding more natural than Google’s engine)Reddit

• Community-driven engines like Piper and Sherpa-ONNX bring modern neural TTS capabilities entirely on-device. Users install them as Android TTS engines, enabling smoother intonation and offline performance.Reddit

Summary Table

Recommendation

• For reliable offline TTS with good voice quality, try Voice Aloud Reader or PocketBook Reader—just remember to download content in advance.

• If you want modern, natural-sounding TTS entirely offline, consider setting up an on-device engine like Piper or Sherpa‑ONNX.

• Speechify and NaturalReader can do offline playback in some cases, but their performance and availability of voices can be inconsistent without internet access.

Would you like help setting up any of these, or testing which works best with your text files?

You're looking for an Android app that allows you to display a list of sentences, select one, and then have that specific sentence spoken—ideal for quick, phrase-by-phrase use while traveling. Luckily, there are apps tailored for this use case:

Apps That Fit Your Needs

1. Spoken – Phrase-by-Phrase TTS

• Designed as an alternative communication tool, Spoken lets you tap words on-screen to form sentences, then have them spoken aloud.

• You can save frequently used sentences or phrases, and the app includes word prediction to speed input.

• Tailored for accessibility, it supports tap-to-speak functionality, making it a great fit for traveling and quick phrase access.
  SlashGear

2. Custom Phrase App (Reddit Project)

• A developer created an Android app to help with speech by typing text, saving phrases, and selecting voices.

• The app allows you to save commonly used phrases and quickly trigger them.

• According to the developer, most voices work offline once downloaded.
  Reddit

3. Pronounce – Select-and-Speak Tool

• This minimalist app lets you select any word or phrase in any app, then use the context menu to trigger speech via “Pronounce.”

• It maintains a favorites list of phrases for quick reuse and works with installed TTS engines (like Google's) for offline playback.
  Google Play

Feature Comparison

Recommendation

If you're traveling and just want to pick a sentence from your personal list and have it spoken—Spoken is your best bet. It’s built for quick sentence construction and playback, with offline support and easy access.

Alternatively, if you want full control: either try the custom phrase app (if accessible) or Phrase by Phrase style tools—write and save your own list and play them when needed.

Would you like links to download these apps or guidance on setting them up for your travel needs?

Here's a browser‑side HTML example that does exactly what you want: reads a text file containing sentences, displays each sentence in a selectable list, and uses the browser’s native Web Speech API (TTS) to speak whichever sentence the user clicks. This build uses the fetch() API and the SpeechSynthesis interface.

Minimal Working Example

html
複製編輯
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Sentence-by-Sentence TTS</title>
  <style>
    body { font-family: sans-serif; padding: 1em; }
    ul { list-style-type: none; padding: 0; }
    li { padding: 0.5em; cursor: pointer; }
    li:hover { background: #eef; }
  </style>
</head>
<body>
  <h1>Select a sentence to speak</h1>
  <ul id="sentence-list"></ul>

  <script>
    const listEl = document.getElementById('sentence-list');
    const synth = window.speechSynthesis;

    // Load sentences from text file (one per line)
    fetch('sentences.txt')
      .then(res => res.text())
      .then(text => {
        const sentences = text.split(/\r?\n/).filter(line => line.trim());
        sentences.forEach((sent, i) => {
          const li = document.createElement('li');
          li.textContent = sent;
          li.addEventListener('click', () => speakSentence(sent));
          listEl.appendChild(li);
        });
      });

    function speakSentence(text) {
      if (!synth) {
        alert('Speech Synthesis not supported in this browser.');
        return;
      }
      synth.cancel(); // stop any existing speech
      const utter = new SpeechSynthesisUtterance(text);
      synth.speak(utter);
    }
  </script>
</body>
</html>

** How it works:**

• Fetches sentences.txt (a plain text file with one sentence per line).

• Splits the content into sentences and renders each in a clickable <li>.

• Clicking a sentence triggers Web Speech API (SpeechSynthesisUtterance) to speak the selected text.
  digitalocean.comJavaScript Development Space

Optional Enhancements

Based on examples I found:

• Voice selection, rate, and pitch control — similar to DigitalOcean and Dev.to tutorials digitalocean.comDEV Community.

• Highlighting the active sentence — you could wrap each in <span> and apply .active class while speaking, as shown in the sentence‑level reader example JavaScript Development Space.

Let me know if you’d like to extend this with voice pickers, playback controls, or support for more complex file input!

Absolutely! Here’s an enhanced browser-side HTML snippet that allows users to select a local text file (via a file-input dialog), displays each sentence in a selectable list, and uses the Web Speech API to read aloud whichever sentence the user clicks.

This builds on the Web Speech API’s speechSynthesis for text-to-speech and utilizes the FileReader API to load user-selected files—both standard browser capabilities Stack OverflowMDN Web Docsdigitalocean.com.

Example: HTML with File Upload and Sentence-Level TTS

html
複製編輯
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Phrase-by-Phrase TTS from File</title>
  <style>
    body { font-family: sans-serif; padding: 1em; }
    ul { list-style-type: none; padding: 0; }
    li { padding: 0.5em; cursor: pointer; }
    li:hover { background: #eef; }
    .active { background: #cce; }
  </style>
</head>
<body>
  <h1>Pick a text file, then click a sentence to speak</h1>
  <input type="file" id="fileInput" accept=".txt">
  <ul id="sentenceList"></ul>

  <script>
    const fileInput = document.getElementById('fileInput');
    const listEl = document.getElementById('sentenceList');
    const synth = window.speechSynthesis;

    fileInput.addEventListener('change', event => {
      const file = event.target.files[0];
      if (!file) return;

      const reader = new FileReader();
      reader.readAsText(file);
      reader.onload = () => {
        const text = reader.result;
        const sentences = text.split(/\r?\n/).filter(line => line.trim());
        listEl.innerHTML = ''; // clear existing
        sentences.forEach(sent => {
          const li = document.createElement('li');
          li.textContent = sent;
          li.addEventListener('click', () => {
            speakSentence(sent, li);
          });
          listEl.appendChild(li);
        });
      };
      reader.onerror = () => alert('Failed to read file');
    });

    function speakSentence(text, li) {
      if (!synth) {
        alert('Speech synthesis not supported in this browser.');
        return;
      }
      // Highlight active sentence
      document.querySelectorAll('li').forEach(el =>
        el.classList.remove('active')
      );
      li.classList.add('active');

      synth.cancel(); // stop any ongoing speech
      const utter = new SpeechSynthesisUtterance(text);
      synth.speak(utter);
    }
  </script>
</body>
</html>

How It Works

• <input type="file"> prompts the user to select a local .txt file.

• FileReader API reads the file content as text Stack Overflow.

• The content is split by line breaks into individual sentences/lines.

• Each sentence is rendered as a clickable list item.

• A click on any item uses SpeechSynthesisUtterance via speechSynthesis.speak() to read it aloud digitalocean.comMDN Web Docs.

• The clicked sentence is visually highlighted for clarity.

Optional Enhancements

• Voice, pitch, rate controls — you can extend it with <select> or sliders to let the user adjust voice settings (as shown in MDN demos) MDN Web Docs開發者文檔收藏.

• Sentence splitting improvements — use punctuation-based splitting (e.g., using ., ?, !) for more natural segmentation.

• FileSystem Access API — you can use showOpenFilePicker() for richer file handling (with persistent access) on supported browsers Reddit.

Let me know if you'd like help adding voice selection, custom segmentation, or exotic file-handling features!

Absolutely! Here's a refined browser-side HTML example that lets the user:

1. Upload a local text file of sentences.

2. Select a sentence to be spoken aloud.

3. Choose the TTS language from a dropdown (including Japanese and Traditional Chinese, which are mandatory).

The language options use BCP‑47 codes like ja-JP, zh-TW, etc. These codes are recognized by the Web Speech API and supported in modern browsers Stack Overflow+1webplatformcourse.com.

Enhanced HTML with Language Selection

html
複製編輯
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Phrase-by-Phrase TTS with Language Picker</title>
  <style>
    body { font-family: sans-serif; padding: 1em; }
    ul { list-style: none; padding: 0; }
    li { padding: 0.5em; cursor: pointer; }
    li:hover { background: #eef; }
    .active { background: #cce; }
    select, input { margin-bottom: 1em; }
  </style>
</head>
<body>
  <h1>Upload text & pick phrase to speak</h1>
  <input type="file" id="fileInput" accept=".txt"><br>
  <label for="langSelect">Choose language:</label>
  <select id="langSelect">
    <option value="en-US">English (US)</option>
    <option value="ja-JP">Japanese</option>
    <option value="zh-TW">Chinese (Traditional, Taiwan)</option>
    <option value="zh-CN">Chinese (Simplified, Mainland)</option>
    <option value="es-ES">Spanish (Spain)</option>
    <option value="fr-FR">French (France)</option>
    <option value="ko-KR">Korean</option>
    <option value="de-DE">German</option>
    <option value="vi-VN">Vietnamese</option>
    <!-- Add more as needed -->
  </select>

  <ul id="sentenceList"></ul>

  <script>
    const fileInput = document.getElementById('fileInput');
    const listEl = document.getElementById('sentenceList');
    const langSelect = document.getElementById('langSelect');
    const synth = window.speechSynthesis;

    fileInput.addEventListener('change', e => {
      const file = e.target.files[0];
      if (!file) return;
      const reader = new FileReader();
      reader.readAsText(file);
      reader.onload = () => {
        const sentences = reader.result
          .split(/\r?\n/)
          .filter(line => line.trim());
        listEl.innerHTML = '';
        sentences.forEach(sent => {
          const li = document.createElement('li');
          li.textContent = sent;
          li.addEventListener('click', () => speakSentence(sent, li));
          listEl.appendChild(li);
        });
      };
      reader.onerror = () => alert('Failed to read file.');
    });

    function speakSentence(text, li) {
      if (!synth) {
        alert('Speech synthesis not supported.');
        return;
      }
      document.querySelectorAll('li').forEach(el => el.classList.remove('active'));
      li.classList.add('active');
      synth.cancel();

      const utter = new SpeechSynthesisUtterance(text);
      utter.lang = langSelect.value;
      synth.speak(utter);
    }
  </script>
</body>
</html>

What This Does

• Language Dropdown: Users can pick from multiple languages, including Japanese (ja-JP) and Traditional Chinese (zh-TW), which meet your requirement Stack Overflow+1.

• File Upload: Instead of a fixed file, users can select any .txt file to load sentences.

• Highlighting & Speech: Clicking a sentence speaks it in the chosen language and visually highlights it.

Tips for Enhancement

• You can populate language options dynamically using speechSynthesis.getVoices() to only show voices actually supported in the user's browser Stack OverflowGitHub.

• Additional features like choosing voice gender, adjusting rate, or pitch are also feasible extensions.

Let me know if you'd like assistance adding dynamic voice loading or customizing the UI further!

Absolutely! To ensure that any translated text in parentheses (like 小塩山 in おしおやま (小塩山)) is excluded from speech, you can filter out all parenthetical content before passing the text to the Web Speech API.

Here’s an updated HTML example that:

• Lets the user upload a .txt file.

• Displays sentences in a list.

• Allows the user to select language.

• Strips out any parentheses and their enclosed content before speaking.

HTML + JavaScript Example

html
複製編輯
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Phrase TTS without Parentheses</title>
  <style>
    body { font-family: sans-serif; padding: 1em; }
    li { padding: 0.5em; cursor: pointer; }
    li:hover { background: #eef; }
    .active { background: #cce; }
  </style>
</head>
<body>
  <h1>Upload text & click a phrase to speak (parentheses excluded)</h1>
  <input type="file" id="fileInput" accept=".txt"><br>
  <label for="langSelect">Choose language:</label>
  <select id="langSelect">
    <option value="en-US">English (US)</option>
    <option value="ja-JP">Japanese</option>
    <option value="zh-TW">Chinese (Traditional)</option>
    <!-- add more languages -->
  </select>

  <ul id="sentenceList"></ul>

  <script>
    const fileInput = document.getElementById('fileInput');
    const sentenceList = document.getElementById('sentenceList');
    const langSelect = document.getElementById('langSelect');
    const synth = window.speechSynthesis;

    fileInput.addEventListener('change', e => {
      const file = e.target.files[0];
      if (!file) return;
      const reader = new FileReader();
      reader.readAsText(file);
      reader.onload = () => {
        const sentences = reader.result.split(/\r?\n/).filter(l => l.trim());
        sentenceList.innerHTML = '';
        sentences.forEach(sent => {
          const li = document.createElement('li');
          li.textContent = sent;
          li.onclick = () => speakFiltered(sent, li);
          sentenceList.appendChild(li);
        });
      };
      reader.onerror = () => alert('Error reading file');
    });

    function speakFiltered(text, li) {
      sentenceList.querySelectorAll('li').forEach(el => el.classList.remove('active'));
      li.classList.add('active');

      const filtered = text.replace(/\s*\(.*?\)/g, '').trim();
      if (!filtered) return alert('Nothing to speak.');

      const utter = new SpeechSynthesisUtterance(filtered);
      utter.lang = langSelect.value;
      synth.cancel();
      synth.speak(utter);
    }
  </script>
</body>
</html>

Key Technical Details

• The regex \s*\(.*?\) removes parentheses and any preceding space, ensuring clean text output boldena.comsyntaxfix.com.

• This approach handles simple cases robustly.

• If you have nested parentheses or need more advanced filtering, consider a function like deParenthesise() that iteratively removes content starting from innermost pairs Stack Overflow.

Let me know if you'd like to enhance this further—for example, dynamically listing only supported voices, adding pitch/rate controls, or handling more complex parenthetical patterns!

Here’s a fully enhanced browser-side HTML snippet that meets your needs:

• Allows users to upload a local text file and displays each sentence (excluding parenthesized portions).

• Dynamically lists only supported Web Speech API voices, with Japanese, English, and Traditional Chinese prioritized at the top.

• Provides voice, rate, and pitch controls, so users can fine-tune speech output.

This leverages the speechSynthesis.getVoices() method to populate voice options and aligns with examples from MDN documentation.MDN Web Docs+1

html
複製編輯
<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <title>Interactive Multi‑Lang TTS with Controls</title>
  <style>
    body { font-family: sans-serif; padding: 1em; }
    ul { list-style: none; padding: 0; }
    li { padding: 0.5em; cursor: pointer; }
    li:hover { background: #eef; }
    .active { background: #cce; }
    label, select, input { display: block; margin: 0.5em 0; }
  </style>
</head>
<body>
  <h1>Upload a .txt file & speak selected sentences</h1>
  <input type="file" id="fileInput" accept=".txt">

  <label for="voiceSelect">Voice:</label>
  <select id="voiceSelect"></select>

  <label for="rate">Rate: <span id="rateVal">1</span></label>
  <input type="range" id="rate" min="0.5" max="2" value="1" step="0.1">

  <label for="pitch">Pitch: <span id="pitchVal">1</span></label>
  <input type="range" id="pitch" min="0" max="2" value="1" step="0.1">

  <ul id="sentenceList"></ul>

  <script>
    const fileInput = document.getElementById('fileInput');
    const sentenceList = document.getElementById('sentenceList');
    const voiceSelect = document.getElementById('voiceSelect');
    const rate = document.getElementById('rate'), rateVal = document.getElementById('rateVal');
    const pitch = document.getElementById('pitch'), pitchVal = document.getElementById('pitchVal');
    const synth = window.speechSynthesis;

    function populateVoices() {
      const voices = synth.getVoices();
      if (!voices.length) return;

      // Preferred languages in order
      const pref = ['ja-JP', 'en', 'zh-TW'];
      const ordered = [];
      const others = [];

      voices.forEach(v => {
        (pref.some(l => v.lang.startsWith(l)) ? ordered : others).push(v);
      });

      voiceSelect.innerHTML = '';
      ordered.concat(others).forEach(v => {
        const opt = document.createElement('option');
        opt.value = v.name;
        opt.textContent = `${v.name} (${v.lang})`;
        voiceSelect.appendChild(opt);
      });
    }

    populateVoices();
    if (synth.onvoiceschanged !== undefined) {
      synth.onvoiceschanged = populateVoices;
    }

    fileInput.addEventListener('change', e => {
      const file = e.target.files[0];
      if (!file) return;
      const reader = new FileReader();
      reader.readAsText(file);
      reader.onload = () => {
        const lines = reader.result.split(/\r?\n/).filter(l => l.trim());
        sentenceList.innerHTML = '';
        lines.forEach(line => {
          const li = document.createElement('li');
          li.textContent = line;
          li.addEventListener('click', () => speakFiltered(line, li));
          sentenceList.appendChild(li);
        });
      };
      reader.onerror = () => alert('Error reading file.');
    });

    rate.addEventListener('input', () => rateVal.textContent = rate.value);
    pitch.addEventListener('input', () => pitchVal.textContent = pitch.value);

    function speakFiltered(text, li) {
      sentenceList.querySelectorAll('li').forEach(el => el.classList.remove('active'));
      li.classList.add('active');

      const filtered = text.replace(/\s*\(.*?\)/g, '').trim();
      if (!filtered) return;

      const utter = new SpeechSynthesisUtterance(filtered);
      const voice = synth.getVoices().find(v => v.name === voiceSelect.value);
      if (voice) utter.voice = voice;
      utter.rate = parseFloat(rate.value);
      utter.pitch = parseFloat(pitch.value);

      synth.cancel();
      synth.speak(utter);
    }
  </script>
</body>
</html>

How It Works

• Dynamic Voice Listing: Uses speechSynthesis.getVoices() to list available voices; Japanese (ja-JP), English (any variant starting with en), and Traditional Chinese (zh-TW) appear first if available.MDN Web Docs+1

• Rate & Pitch Controls: Users can adjust both, with live display of values.

• Parentheses Filtering: Strips out any (...) content (and preceding whitespace) before speech.

• Clean UI: Sentences are clickable and visually highlighted during playback.

Let me know if you'd like to add more features—such as voice preview, saving preferences, or customizing sentence segmentation!

Yes, the final code can work fully offline, with a few important notes:

✅ What works offline

1. Text File Upload

   • You're selecting a .txt file from your local machine—no network needed.

2. Web Speech API (TTS)

   • The speechSynthesis API and system-installed voices (like Google TTS on Chrome) typically work offline, as long as:

     • The voice you select is already installed on the device.

     • The browser supports offline synthesis (e.g., Chrome, Edge, Firefox to a limited extent).

3. JavaScript & HTML

   • The code is self-contained—no external libraries or server calls.

⚠️ What to watch out for

✅ To make it reliably offline

Here’s how you ensure it works offline:

• Use Google Chrome or Edge — they offer the best offline support.

• Run the HTML file locally (e.g., double-click it from your desktop).

• Test once online to make sure voices are cached, then test offline.

✅ Bonus tip: Packaging it as a PWA or mobile app

If you want to use this offline regularly (especially on mobile), consider:

• Turning it into a Progressive Web App (PWA) so it installs like a native app.

• Wrapping it in an Android WebView or Electron for desktop.

Would you like a version of the code that works as a self-contained PWA?

Absolutely! Let’s break this down into two parts: creating a self-contained PWA and installing it on your Android phone without needing a developer setup.

1. Packaging Your App as a Self-Contained PWA

To make your HTML TTS app installable and work offline like a native app, it needs:

a) A manifest.json file

Create a file named manifest.json and reference it in your HTML’s <head> like this:

html
複製編輯
<link rel="manifest" href="manifest.json">

A minimal manifest looks like:

json
複製編輯
{
  "name": "Sentence TTS PWA",
  "short_name": "TTS PWA",
  "start_url": "./index.html",
  "display": "standalone",
  "background_color": "#ffffff",
  "theme_color": "#3367D6",
  "icons": [
    {
      "src": "icon-192.png",
      "sizes": "192x192",
      "type": "image/png"
    },
    {
      "src": "icon-512.png",
      "sizes": "512x512",
      "type": "image/png"
    }
  ]
}

Required manifest items for installability include:

• name or short_name

• icons (including both 192px and 512px tiles)

• start_url

• display: "standalone" (so the app opens without browser UI) MDN Web Docs

b) A Service Worker (sw.js) for Offline Access

Create a sw.js file to cache your app’s assets:

js
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self.addEventListener('install', evt => {
  evt.waitUntil(
    caches.open('cache-v1')
      .then(cache => cache.addAll(['./', './index.html', './manifest.json', './script.js', './styles.css', './icon-192.png', './icon-512.png']))
  );
});

self.addEventListener('fetch', evt => {
  evt.respondWith(
    caches.match(evt.request).then(res => res || fetch(evt.request))
  );
});

Register it in your HTML:

html
複製編輯
<script>
  if ('serviceWorker' in navigator) {
    navigator.serviceWorker.register('sw.js');
  }
</script>

This ensures your app assets (like your HTML, CSS, JS, and icons) are cached locally, enabling offline use. magemart.com

2. Installing the PWA on Your Android Phone Without Developer Tools

a) Serve the Files

To make your self-contained HTML PWA work, serve it over HTTPS, or host it locally on your phone using a file-serving app. Browsers require a secure context for installability. MDN Web Docssolidstudio.io

b) Install via Android Browser

• Using Chrome (or another Chromium-based browser) on Android, navigate to your app’s URL.

• Chrome will automatically offer an “Add to Home Screen” prompt if the PWA meets installability criteria. Tap it to install. MDN Web Docsweb.dev

• If the browser doesn’t prompt automatically, open the menu and select “Add to Home Screen” manually. solidstudio.io

“On Android, Chrome, Edge, Brave, and Samsung Internet all support PWA installation” MDN Web Docs維基百科

Some users reported better behavior using Chrome, as other browsers like Samsung Internet may treat PWAs more like bookmarks. Reddit

Summary

When installed, your TTS PWA will appear in your home screen or app drawer and launch like a native app—no developer tools required.

Let me know if you'd like help generating the manifest, service worker script, or preparing the app assets!

Yes—you can run the “normal” HTML file (the previous version without PWA packaging) on your Android phone, but with some important caveats. Here’s what you need to know:

Limitations of Opening HTML Directly on Android

• Most browsers on Android (like Chrome) restrict access to local file paths (file://) due to security constraints. You may encounter errors or “Access Denied” messages Android Enthusiasts Stack ExchangeStack Overflow.

• However, some browsers and file managers do support opening local HTML files:

  • Firefox (Nightly) and some system HTML viewers can load local files Reddit.

  • File managers with built-in viewers, such as Mixplorer, may work for this purpose Reddit.

  • Others recommended workarounds include installing simple HTTP server apps or using a text editor app like Acode, which can serve the HTML locally for browser access Reddit.

Summary Table

Recommendation

If installing developer tools isn't feasible, you can still use your app—try this workflow:

1. Save the HTML file to your Android device.

2. Use Firefox, an alternate browser, or a file manager with HTML preview to open the file.

3. Optionally, install a local HTTP server app (e.g., Simple HTTP Server) and serve the file locally. Then open it in browser via http://localhost:PORT/filename.html.

Let me know if you’d like guidance on setting up a lightweight HTTP server on your phone—it’s a very effective way to test and use your HTML app offline, no developer gear needed!