Image to PDF Converter

"Image to PDF" is asked for by people who want two completely different outcomes, and picking the wrong one wastes time, so it is worth separating them at the outset.

The first group wants a container. They have a photo, or several, and they want them in a PDF so they can be emailed as one attachment or uploaded to a form that only accepts PDFs. The pictures stay pictures; nothing is read. This is a file-format operation, your device already does it for free, and you do not need OCR at all.

The second group wants the content. They have a picture of text and they want a document whose words can be searched, selected, copied, and read by a screen reader. The appearance of the original does not matter to them; the words do. That is what this page does.

A useful test: if you would be satisfied by a photograph of the page, you want a container. If you would be frustrated that you cannot copy a sentence out of it, you want the content.

The file is a straightforward text document. Your extracted text is laid out on US Letter pages in Helvetica at eleven points, with comfortable margins and consistent line spacing, and the pages are generated as needed to hold everything.

Because it holds text rather than an image, it is remarkably small. A page of prose is a few kilobytes, where a photograph of the same page would run to several megabytes. It is also genuinely accessible: screen readers can read it, search indexes it properly, and copy and paste behave the way people expect from a document.

What it does not carry is any trace of the original's appearance. Typefaces, sizes, emphasis, columns, logos, rules, signatures, and photographs are all gone. Blank lines survive, so the rough vertical rhythm of the source remains, but nothing else does.

This is the one real constraint of the PDF export, and it deserves a section rather than a footnote. PDF files reference fonts, and this one uses Helvetica, which is guaranteed to exist in every PDF reader and therefore keeps the output small and universally viewable. The trade-off is that Helvetica's built-in character set covers the Latin alphabet and Western European accents, and nothing beyond.

In practice that means Latin-script languages work well. English, French, German, Spanish, Italian, Portuguese, and the Nordic languages all render correctly, accents included, along with common punctuation and currency symbols. Devanagari, Tamil, Bengali, Chinese, Japanese, Korean, Arabic, Hebrew, Thai, Cyrillic, and Greek do not, and each unrepresentable character is written as a question mark.

Supporting them would mean embedding a font that covers those scripts in every file we generate, which would add megabytes to a download that is currently measured in kilobytes, for a format most people are choosing precisely because it is light. Rather than do that, the tool detects the situation and tells you before you open the file, so the failure is visible rather than silent.

The remedy is simple: download DOCX or TXT. Both store text as UTF-8 and preserve every script faithfully. If you specifically need a PDF containing non-Latin text, take the DOCX route and export to PDF from your word processor, which will embed a suitable font for you.

There is a practical reason to proofread before downloading rather than after. Text in the results box is trivially editable — click and fix. Text in a PDF is not; correcting a single misread word means going back to the source, re-extracting or re-editing, and generating the file again.

So treat the download as a commit step. Read the extraction through first, with the original image beside you, and pay particular attention to the parts of the text that language cannot self-correct: proper nouns, reference numbers, dates, and amounts. A misread letter inside a common word will usually still resolve to the right word; a misread digit inside a figure simply becomes a different, equally plausible figure.

This matters more here than with the other formats, precisely because PDFs tend to be the version that gets filed, archived, or sent to someone else. An error in a TXT file you are about to paste somewhere is likely to be caught. The same error in a PDF sitting in a folder may not surface for a year.

The strongest case is making printed material findable. A stack of notices, handouts, or reference sheets photographed and converted this way becomes a folder your operating system's search can look inside, which a folder of photographs never is. Each file is small enough that keeping hundreds of them costs nothing.

It is also a good format for circulating extracted content, because PDFs open identically everywhere without anyone needing a particular application, and the recipient cannot accidentally alter the text while reading it.

Accessibility is a quieter but real benefit. A photograph of a page is opaque to a screen reader; a text PDF of the same content can be read aloud, resized, and reflowed. If you are sharing printed material with someone who uses assistive technology, converting it is a substantial improvement over passing on the image.

Where it is the wrong tool is anywhere the document itself is the point. Contracts, signed forms, receipts kept as evidence, and anything with legal or financial weight should be kept as the original image or scan. A transcription is not the document, and no OCR output should be treated as though it were.

PDF generation happens entirely in your browser, using the text already sitting in the results box. Nothing is uploaded to create the file and it is never stored on our side.

Recognition is the step that may involve the network. By default the image goes through our server to Google's Gemini API, which is what gives good results on difficult photographs. Switching on Local OCR only before extracting keeps everything in the browser using Tesseract.js, with some loss of accuracy on faint or unusual text. The PDF is assembled locally either way.

Full details of both paths are in the Privacy Policy and the Data Retention Policy.

If you want an editable file rather than a fixed one, Image to Word explains what the .docx export gives you and how to style it. Image to Text covers the general extraction workflow. Working in the other direction — starting from a PDF that contains scanned pages and needing the text out of it — is covered by PDF to Text. And if the source photograph is the weak link, the guide to improving OCR on low-quality images is the right next read.