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Read a PDF aloud with real neural voices, in your browser. Speech is generated on your own device, so a confidential document is never sent anywhere, and you can listen in the player or export an MP3 you keep. Choose the voice, the speed, and which pages to read; the text layer is required, so OCR a scan first. The voice model is downloaded once and the size is stated before it starts. No sign-up, no watermark, no length limit.
To convert PDF to speech free, add the file and neural voices read it aloud in your browser — or export an MP3. Speech is generated on your device, so nothing is uploaded. The voice model downloads once, with the size shown up front.
Start with the summary rather than page one. Summarize for the shape of the document, then listen to the sections that matter at 0.9 times. Reading and listening are complementary: a structural argument is easier to hear, and a table is easier to read.
The synthesiser infers pronunciation from context and has no way to know that a string is an account number rather than a word. Where a term is misread, the fix is the text layer: correct it in the PDF with the editor, or run OCR and correct the recognition, and the pronunciation follows. The audio is only ever as good as the characters.
Export the audio, and publish it alongside the PDF with a link. For a document that needs to reach someone who cannot read the printed version, an MP3 is the difference between a document they can use and one they cannot. Combine with OCR so the PDF is also machine-readable, and the document is genuinely accessible both ways.
Export the pages you want as one MP3 at a slightly slower speed, put it on your phone, and listen. It is a common and genuinely useful way to get through a report you would otherwise not open, and the export is a local operation on a machine that already has the document.
No. Speech is synthesised on your device. The download is the voice model — a few megabytes to a few hundred depending on the quality you choose — and it contains no information about your document.
Genuinely good, and a long way from the robotic reading of a decade ago. Natural neural voices handle sentence rhythm and emphasis well. They struggle with unusual proper nouns, heavy abbreviations, and formulae, where the pronunciation is a guess. Read a technical document aloud with that expectation.
Because it is a scan. Speech needs characters, and a scan has pixels. Run OCR first to create a text layer, then read it aloud. The OCR output's errors will be read aloud, which is worth hearing once before relying on it.
Yes, for a selected page range. It is a normal audio file you can keep, put on a phone, or play while driving. A long document produces a correspondingly long file, and the export is done on your device.
Yes, and for technical material you should. Normal speed suits prose, and 0.8 to 0.9 times suits a document with numbers, tables or unfamiliar terminology. A number read quickly is a number you will not catch.
Three things: the voices are better, you can export to MP3 rather than only listening, and there is no dependence on the operating system's voice set. On a machine with no screen reader installed, or one where the default voice is unpleasant, this is a real improvement rather than a novelty.
Yes, with no artificial limit. Playback streams sentence by sentence so a 400-page document does not have to be generated all at once. Exporting a very long document as one audio file is slow, which is a compute constraint rather than a limit.
Yes. Free, no account, no watermark, and no upload. Audio is generated on your machine, so a document under an NDA can be listened to on a device with no network access at all.
More convert from pdf — all free, no upload.