ニューラル音声合成でPDF文書を自然な音声に変換
WhiskFile PDFから音声は、ニューラル音声合成でPDF文書を自然な音声に変換ための無料オンラインツールです。 ファイルは完全にブラウザ内で処理され、サーバーにアップロードされることはありません。
Quick Answer
ニューラル音声合成でPDF文書を自然な音声に変換. WhiskFile's PDFから音声 is free, works in your browser, and requires no account. Your files never leave your device — all processing happens locally.
Upload your PDF
Drag and drop or click to upload a PDF file (up to 100 MB, 200 pages). The text is extracted immediately. Your file stays on your device — nothing is uploaded to any server.
Choose a voice
Select from 11 neural TTS voices — 7 American and 4 British English voices with male and female options. Each voice has a distinct natural-sounding speaking style.
Edit the text (optional)
Review the extracted text and edit if needed. Remove headers, footers, page numbers, or any content you do not want read aloud. Word count and estimated audio duration are shown.
Adjust playback speed
Choose a playback speed from 0.5x to 2x. Slower speeds help with careful study; faster speeds are ideal for quickly reviewing long documents.
Generate and listen to the audio
Click Generate Audio to run the Kokoro 82M neural TTS in your browser. Listen with the waveform player — sentences highlight as they play. Click any sentence to jump to that point.
Download the audio
Download the generated audio as an MP3 file for portable listening or as a lossless WAV file at 24 kHz. Both formats play on any device.
最大ファイルサイズ: 50 MB（無料）・500 MB（有料）。処理時間: 平均約45秒。 ファイルを1つずつアップロードします。
PDFから音声はブラウザ上で完全に動作するため、ソフトのインストールは不要です。モダンブラウザを搭載したあらゆるデバイスで動作します。
Windows & Mac
Chrome、Firefox、Edge、Safari
iPhone & Android
Safari、Chrome モバイル
iPad & タブレット
完全なタッチ操作対応
Chromebook & Linux
ドキュメントをアップロードするサーバー型ツールとは異なり、WhiskFileはブラウザ上でローカル処理を行います。ファイルがデバイス外に出ることは一切ありません（一時的なアップロードもありません）。
アップロード不要
ファイルはブラウザ内で処理され、サーバーに送信されることはありません
100%プライベート
サーバーでの保存なし、データ収集なし、第三者のアクセスなし
オフライン対応
一度読み込めば、インターネット接続なしで動作します
“プレゼン資料をクライアント向けにPDFへシームレスに変換できます。書式も毎回完璧に維持されます。”
リサ・トンプソン
マーケティングマネージャー
“Excelレポートを毎日PDFに変換しています。WhiskFileのおかげで、表やグラフの見た目が正確に保たれます。”
アレックス・リベラ
データアナリスト
PDFから音声のご感想をお聞かせいただき、サービス改善にご協力ください。
クライアント側処理
このツールは完全にブラウザ内で実行されるため、ファイルがデバイス外に出ることはありません。
結果のプレビューと共有
ダウンロード前に処理済みファイルをプレビューし、セキュアなリンクで結果を共有できます。
A PDF to audio converter extracts text from a PDF document and converts it into spoken audio using text-to-speech (TTS) technology. WhiskFile uses the Kokoro 82M neural TTS model running directly in your browser for natural-sounding speech.
Upload your PDF, select a voice from the 11 available options, optionally edit the extracted text, and click Synthesize. The audio is generated sentence by sentence in your browser. Download the result as a WAV file.
No. The Kokoro TTS model runs 100% in your browser using WebAssembly. Your PDF and the generated audio never leave your device. This is fundamentally more private than cloud-based TTS services.
The Kokoro 82M model produces very natural-sounding speech with proper intonation, rhythm, and emphasis. It is a neural TTS model trained on high-quality speech data — far more natural than robotic rule-based TTS.
11 voices are available: 7 American English voices (Heart, Bella, Sarah, Nicole, Sky — female; Adam, Michael — male) and 4 British English voices (Emma, Isabella — female; George, Lewis — male). Each voice has a distinct speaking style.
You can download in MP3 or WAV format. MP3 (128 kbps) is compact and ideal for phones, music players, and portable listening. WAV (24 kHz, lossless) preserves full audio quality. Both are generated directly in your browser.
Yes. After generating the audio, click Download MP3 to get a standard 128 kbps MP3 file. The MP3 is encoded entirely in your browser — your audio never leaves your device. You can also download as WAV for lossless quality.
Yes. After the PDF text is extracted, you can edit it in the text editor. Remove headers, footers, page numbers, or any unwanted content before synthesis.
Yes. PDF to Audio is completely free with no signup, no daily limits, and no watermarks. The Kokoro TTS model runs in your browser at zero cost.
Yes. Use the speed control in the audio player to adjust playback between 0.5x and 2x speed. This is useful for studying (slower) or quickly reviewing long documents (faster).
Synthesis speed depends on your device and the text length. The model processes text sentence by sentence. A 10-page PDF typically takes 1-3 minutes on a modern computer. Progress is shown in real time.
Yes. After synthesis, the audio plays directly in the built-in waveform player. You can listen, pause, seek, and navigate by sentences — all in your browser without downloading anything.
Yes. The PDF to Audio converter works on iPhones, Android devices, and tablets. However, neural TTS synthesis is CPU-intensive, so it may be slower on older mobile devices.
The maximum file size is 100 MB and the maximum page count is 200 pages. Very long documents (over 200,000 characters) are truncated. For longer documents, consider splitting the PDF first.
Yes. Upload your PDF book, select a natural-sounding voice, and generate audio for the entire text. While it does not detect chapters automatically, you can edit the text before synthesis to organize the content.
Yes. Upload a textbook PDF with selectable text and the tool will extract and synthesize all text content. This is ideal for students who want to listen to study material during commutes or exercise.
Not directly. This tool extracts text from PDF documents with selectable text. If your PDF is a scanned image, use the OCR PDF tool first to make the text extractable, then use PDF to Audio.
No. Password-protected or encrypted PDFs must be unlocked first. Use WhiskFile's Unlock PDF tool to remove the password, then upload the unlocked PDF for audio conversion.
The Kokoro 82M model is approximately 86 MB (quantized). It downloads once from Hugging Face's CDN and is cached in your browser for instant reuse on subsequent visits.
The Kokoro TTS model currently supports English with American and British accents. For PDFs in other languages, text will be extracted but the speech synthesis produces English pronunciation.
Use text-based PDFs (not scanned images) for the best results. Edit the extracted text before synthesis to remove headers, footers, page numbers, and formatting artifacts. Simple document layouts produce better speech than complex multi-column layouts or tables.
The tool works best with text-based PDFs in English. Scanned PDFs require OCR first. Complex layouts (multi-column, tables, mathematical formulas) may produce imperfect text extraction. The TTS model handles standard prose well but may struggle with technical symbols, code, or non-English text. Maximum limits are 100 MB, 200 pages, and 200,000 characters.
はい。PDFから音声はWebAssemblyを使用してブラウザ内で完全に動作します。ファイルはサーバーにアップロードされることはなく、処理全体を通じてデバイス上に保持されます。
機能、料金、プライバシーの面でWhiskFileが他のPDFツールとどう違うかをご確認ください。
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