Pen2txt
Handwriting recognition that turns handwritten pages into editable text, priced at one credit per image uploaded.
Overview
Pen2txt turns handwritten pages into editable text. It is built specifically for handwriting, unlike ordinary OCR built for print. It does more than transcribe: Pen2txt states it corrects spelling and grammar as it reads, and an assistant can expand, summarise or translate the result. That is wrong for a historical letter, where the exact wording is the point.
It supports multiple languages, and Pen2txt states accuracy depends on how legible the writing is. It runs in a browser. Pricing runs on credits, one credit per image you upload. A free trial gives 3 credits to test your own writing, then paid plans are monthly subscriptions.
Key features
When to use
Use Pen2txt if:
- You have handwritten notes, a journal or letters to digitise and want them searchable and editable.
- A general OCR tool has already misread the same page.
- Your writing is legible but not neat. It reads a range of styles without being trained on yours.
- Your material is not in English, since it covers multiple languages.
- You know how many images you have, since one credit covers one upload and the cost is predictable.
- You want the transcript tidied as it is made, rather than correcting spelling yourself afterward.
When NOT to use
Skip Pen2txt if any of these describe you:
- Your document is printed rather than handwritten. Free tools do that job well, so Image to Text or ImgOCR will cost you nothing.
- The original wording must survive exactly. Pen2txt corrects spelling and grammar as it transcribes, which is wrong for a historical document or anything quoted.
- Your handwriting is illegible. Pen2txt says accuracy depends on legibility.
- You want to digitise a few pages for free. The trial is 3 credits, then it is a monthly subscription.
- You are unsure it will work on your writing. Spend the trial credits on your worst page before subscribing, and compare against other image to text tools.
Frequently asked questions
Ordinary OCR was built for print. Printed letters are identical every time they appear, which is what makes them readable by machine. Handwriting is not. Your letters differ from each other and from your own from line to line, and cursive joins them together so there are no gaps to find. Pen2txt is built for that problem specifically, which is why it is paid while print OCR is free. If your page is printed, use a free tool.
Yes, by design. Pen2txt states it corrects spelling and grammar in what it reads, and its assistant can expand or summarise the result. For your own notes, that is a feature. For a letter from a relative, a historical document, or anything you intend to quote, it is a problem. You wanted a transcript and you would be getting a tidied version. Check the output against the original if the exact wording matters.
It depends on how legible your writing is, and Pen2txt says so itself: accuracy varies with the legibility and consistency of the handwriting. It does not need training on your particular hand. There is still a limit. If a person would struggle to read a page, the tool will too. Spend the free trial credits on your worst page rather than your neatest one, since that is the page that decides whether it is worth paying for.
On credits: one credit per image you upload. A free trial gives you 3 credits to start. Paid plans are monthly subscriptions with a credit allowance included. If you have a one-off stack of pages rather than an ongoing need, work out how many images you have before you pick a plan.
Multiple, and it can translate the recognised text as well as transcribe it. Handwriting styles differ between countries and scripts, so language coverage matters more here than it does for print. If your material is in a language you do not read, being able to transcribe and translate in one pass saves a second tool, though you should treat a machine translation of a handwriting transcript as a rough guide rather than a reliable text.
Alternatives to Pen2txt
Image to Text
Free OCR that pulls the text out of an image, built on the open-source Tesseract engine, with no signup.