Text to Speech for Your PDFs

Upload your PDF, choose one of 50+ AI voices, and start the conversion. You can preview any voice first, fine-tune speed and volume, and download the result as MP3. Everything runs in your browser, with nothing to install. For text-based PDFs, the tool extracts text locally using PDF.js, so your original file never leaves your device; scanned PDFs are sent for OCR only after you agree. Once you pick a voice and confirm settings, the synthesized audio is generated server-side and delivered as a downloadable MP3. The converter shows live progress while it works. You can also switch languages mid-session if your PDF contains multilingual content, selecting a different voice for each conversion.

Yes. PDF2MP3 is free to try: upload a PDF, preview voices, and convert it to audio right in your browser. Your first conversion covers up to 1,000 characters with a standard voice, no credit card required. Voice previews remain free regardless of your plan, so you can always test how a document sounds before spending anything. Longer documents and premium HD voices consume credits, which you can purchase as a one-time pack or through a monthly subscription. The converter displays the exact credit cost before you confirm, so there are no surprises. Most short articles and memos fall well within the free allowance for a quick test.

Built-in screen readers use robotic system voices and require your screen to stay on. Our AI voices sound natural and human-like, and you can download the audio as MP3 to listen offline on any device. Screen readers also struggle with complex PDF layouts: multi-column text, sidebars, and footnotes often get jumbled into incoherent sequences. PDF2MP3 uses intelligent text extraction that preserves the intended reading order. Additionally, screen readers typically offer one or two system voices with limited speed control, while this tool gives you 50+ voices across 7 languages with fine-grained speed adjustment for a comfortable listening experience.

Yes. Play a short sample of any voice before converting the full document, and compare voices and speeds side by side. This is especially useful when choosing between regional accents (American vs. British English, for example) or when tuning speed for dense technical material versus light reading. Voice samples are always free and do not consume credits, so you can test as many combinations as you like before committing to a full conversion.

We currently support 7 languages, with American and British English offered as separate voice sets. Voice options per language: American English (27), British English (8), Japanese (5), French (8), German (7), Spanish (10), Chinese (8), and Portuguese (3). Each language uses region-appropriate pronunciation models rather than a single generic engine, so French voices sound natively French, not English with a French filter. Language learners often use the tool to listen to documents in their target language while following the PDF text visually, strengthening both listening comprehension and reading speed at once. For long-form content such as novels or full textbooks, you can also create complete audiobooks from your PDFs.

Conversion time depends on document length, document complexity, and current server load: short articles finish quickly, while long books take longer. Text-dense academic papers may take slightly longer per page than lightly formatted articles. The converter shows live progress while it works. Keep the tab open until the MP3 is ready, then download it.

Every plan, including Free, accepts PDFs up to 50MB. This covers most articles, textbooks, research papers, and business documents. The limit applies to the PDF file size rather than the extracted text length, so image-heavy PDFs with less text will convert faster than text-dense ones of the same file size. If your document exceeds your plan's limit, splitting it into chapters or sections before uploading is a practical workaround. Each segment converts independently and produces its own MP3. You can then play the files sequentially in any audio player or merge them later with a free tool like Audacity or FFmpeg.

No. For text-based PDFs, text extraction happens in your browser using PDF.js, so the file never leaves your device; only the extracted plain text is sent to the server for voice synthesis, and that text is discarded immediately after the audio is generated. Scanned PDFs are the one exception: with your consent, the file is sent to an OCR service provider for text recognition, and we delete our temporary copy right after submitting it. We maintain a strict zero file storage policy: no PDFs, no extracted text, and no converted audio files are retained on our infrastructure after processing. This architecture means even if our servers were compromised, your original documents would not be exposed. It is a deliberate design choice for users who handle sensitive business contracts, legal filings, medical records, or unpublished academic research.

Absolutely. Choose a voice in your target language, slow the speed to 0.5x, and follow along with the PDF text on screen. It is an effective way to improve listening comprehension and pronunciation simultaneously. Studies on dual-coding theory (Paivio, 1986) suggest that combining reading with listening can strengthen recall, particularly for complex or unfamiliar material. You can convert textbook chapters, news articles, or graded readers into audio and practice during commutes or at the gym. Repeating the same section at progressively faster speeds helps train your ear for natural speech rhythm before moving to full-speed native content, building confidence incrementally.

All conversions produce standard MP3 files at 128kbps, a bit rate that balances speech audio clarity with compact file size. At this rate, one minute of speech is roughly 1MB, so a 45-minute document weighs about 45MB and fits easily on any modern device. The MP3 format is universally compatible: smartphones, tablets, computers, car audio systems, smart speakers, and dedicated MP3 players all handle it natively without any special app or codec. If you need another format afterward, standard audio tools such as Audacity, VLC, or FFmpeg can re-encode the file in seconds. Convert your PDF to audio now →

Yes. Text-based PDFs, where the text layer is embedded in the file, are read directly in your browser. When you upload a scanned (image-based) PDF, the converter asks whether to send it to an OCR service provider to recognize the text; once you agree, it converts like a text-based file. OCR requires signing in, has a daily page limit, and works in single-file mode only. You can check whether your PDF has a text layer by trying to select and highlight words in a regular PDF viewer: if selection works, no OCR is needed. Most modern scanners and phone scanning apps like Apple Notes or Adobe Scan already add a text layer by default.

Yes. Control the speed (0.5x to 2x) to customize the listening experience, and set the playback volume while you listen. Slower speeds are great for language learning, faster speeds for quick document reviews. Speed is applied during synthesis, so the downloaded MP3 already contains your chosen speed baked in. For example, setting 1.5x speed on a 60-minute document produces a roughly 40-minute MP3 with no chipmunk effect, since the AI model regenerates the speech at the target rate rather than simply time-compressing the waveform. You can preview different speeds before committing to a full conversion to find what sounds best.