Convert handwriting to text you can actually trust.
You have pages of handwriting — a notebook, a lecture pad, a stack of old letters — and you need them as digital text you can search, edit and send. Encria photographs the page, transcribes it, and underlines the words it wasn’t sure of so you can fix them before you export anything.
No account required. Your pages stay on your device.
What converting a page actually involves
Four steps, and the third one is the one most tools skip. It is also the one that decides whether the text is usable.
1
Photograph the page
Point the camera at your page, or import images already sitting in Photos. Several pages can be captured in a row and transcribed as a single document — up to three pages per transcription on the free tier, twenty with Encria Pro — so a run of pages comes out as one continuous text instead of a dozen fragments.
2
Let the transcription run
Encria reads the handwriting and returns editable text. The language is detected automatically, so there is nothing to declare before you start, and pages written in more than one language keep the words they were written with.
3
Fix what Encria flagged
The transcription sits under the photo of your page, with every word the engine was unsure about underlined. Tap one to open the editor and correct it: you settle the app’s doubts instead of re-reading the page yourself. That is the difference between text you copied and text you can rely on.
4
Export and move on
Copy the finished text, share it into any app that accepts text, or leave it in your library and come back later. Your corrections are remembered on device and reused in future transcriptions, so the same name stops being misread.
The raw reading, and an AI pass on top of it
Converting handwriting to text always involves a tension: the page as it was written, or the page as you meant it? Encria refuses to make you choose. The raw transcription is always produced and always kept, and the improvement is a layer you switch on or off above it.
Raw text
Always produced, always kept
Whatever your settings, Encria keeps exactly what was read, word for word, odd line breaks included, and that raw text stays available for verification and recovery. It is what a letter from a relative, a note with legal weight or an archive transcribed for the record actually needs.
Nothing added, nothing tidied
AI improvement
One optional pass above the raw text
“Improve after transcription”, on by default, repairs reading errors, fragments and broken sentences while preserving your spelling, abbreviations and writing style. A dependent “Correct spelling” switch, off by default, also fixes agreement, punctuation and grammar without changing meaning or tone.
Meaning preserved, noise removed
Why generic scanners give up on handwriting
Most document scanners were built for print. They assume straight baselines, regular letterforms, and a fixed repertoire of shapes. Handwriting breaks all three assumptions at once.
Every hand is its own alphabet
Print has exactly one lowercase a. Yours changes with your speed, its position in the word, and how much attention you were paying. A generic OCR engine has nothing to fall back on when a letter is ambiguous.
Context does the work letters cannot
A proper name, an abbreviation, a shorthand you invented in a meeting: none of it is readable from the glyph alone. It takes the whole line — and, ideally, a memory of how you write.
There is no way to check the output
A scanner hands you a block of text and disappears. If a word is wrong, you find out weeks later, in the document you pasted it into. Encria keeps the transcription under the photo of your page and underlines what it is unsure of, so checking is part of the flow.
Private by default, because handwriting usually is
Handwritten pages are personal: journals, medical notes, letters, drafts you would never publish. Encria is built so those pages stay yours. There is no Encria account to create, and your documents live in a local library on your iPhone or iPad.
No account, no sign-up, no email address to hand over.
Documents, corrections and writing profiles stored on your device.
Images are sent for transcription only when you explicitly start one, and no database of your documents is kept on our server.