Personal letters, diaries & notes

Handwriting OCR is an AI service that turns handwritten documents into accurate, searchable, editable text. Unlike traditional OCR, which was built for printed text, it is built specifically for handwriting, including cursive, faded ink, historical scripts, and many languages, and it can translate non-English records into English in the same step. Upload a scan or photo and you get back clean text you can search, edit, and export to Word, Markdown, or plain text.

Handwriting OCR was founded in London in 2023, dedicated to applying modern AI to read the hardest handwritten documents: the cursive, faded, and historical pages that traditional OCR cannot handle. We are a small, independent UK team, the people who build the product also handle support, and we never use your documents to train models or share them with anyone.

Yes. Everyday note-taking is one of the most common uses: meeting and lecture notes, to-do lists, jotted ideas, and the journals and notebooks you keep now. Handwriting OCR reads quick, messy, everyday handwriting and returns editable text that keeps lists, headings, and structure, so a stack of notebooks becomes something you can search, edit, and summarize instead of retyping. It handles a single page or thousands just the same.

Yes. Handwriting OCR is built for diaries and journals written in cursive, including ones spanning decades where the handwriting changed over time, as well as the journal you keep today. Each page is read independently, so the system adapts to a careful early entry and a rushed later one alike. People routinely digitize diaries that run to thousands of pages across many years. Accuracy depends on the clarity of the writing and the scan, but most personal diaries process well enough that reviewing the results is far faster than transcribing by hand.

Yes. Old family letters are one of the most common things people bring to us, including airmail and wartime correspondence, and a grandparent's shaky later hand. Handwriting OCR reads connected cursive and faded ink and returns the text as written. Very faded or damaged passages may need a check against the original, but even then it captures readable text from letters that are getting harder to read with every year.

Yes. Handwriting OCR can transcribe a handwritten letter in French, German, Italian, Polish, and many other languages and translate it into readable English in the same step. This is one of the most-loved things about it for family history: a letter from a grandparent that no one in the family could read becomes something everyone can. As with all handwriting, accuracy depends on the clarity of the original, so testing a sample page is the best guide for your letters.

Yes. Large projects are normal here, from a 25-year diary to several thousand letters to an entire handwritten book. You can upload multi-page PDFs and process in batches, and whole pages transcribe in seconds rather than the hours manual typing would take. Plans come with page credits, and for very large projects you can buy more credits or pay as you go, so you can size it to the project in front of you.

They stay private. Your documents are encrypted in transit and at rest, processed only to deliver your results, never used to train AI models, and never shared with third parties. You also control how soon they are deleted, with auto-delete configurable from 15 minutes up to 14 days. When you are digitizing intimate personal memories, privacy is fundamental, not an optional extra.

No. A smartphone camera works perfectly for photographing diary pages and letters, and a standard flatbed scanner produces higher-quality scans if you prefer. Handwriting OCR processes common formats like JPG, PNG, and PDF without any special equipment. For a fragile diary you can photograph each page once and work entirely from the digital images, with no repeated handling.

For clear handwriting and good scans, accuracy is typically high enough that reviewing the output is far quicker than transcribing from scratch. We return what is actually on the page rather than a tidied-up guess, so it is always worth checking names, dates, and any passage that matters against the original, especially on very faded ink or rushed entries. The best way to judge it for your own handwriting is to test a few sample pages and see the results.

Yes. Handwriting OCR converts the written portions of each page to searchable text while keeping the overall page structure. Photographs, clippings, doodles, and pressed flowers stay as visual elements in your original scans rather than being turned into text, since they are not text. The handwriting around them becomes searchable, which is exactly how most people work with scrapbook-style diaries and journals.

Often, yes, including handwriting people tell us they can no longer read themselves. Handwriting OCR extracts what is actually written rather than what it means, so if you abbreviated a name to an initial or used personal shorthand, the output shows it exactly as written. That preserves your original conventions and makes them searchable, while interpreting what a particular shorthand refers to still relies on your own knowledge of the family context.