PixoateHandwriting OCR - Extract Text From Handwritten Notes Free
Convert handwritten notes, journals and whiteboard photos into editable text. Tuned for cursive/connected writing using a deep-learning paragraph reader.
Drop a photo of handwritten text
JPG, PNG, WEBP
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Try it nowFrequently Asked Questions
Yes — for printed handwriting (capital letters, well-spaced lowercase), accuracy is typically 85-95%. For neat cursive, 70-85%. For doctor-style scrawl or dense overwritten notes, expect more like 50-70%. Lighting, paper background and clean letter forms make the biggest difference.
qualityRegular OCR is trained on printed type — clean letterforms, consistent baseline, sharp edges. Cursive writing connects letters across baselines, has variable spacing, and overlaps in ways that break print models. Handwriting OCR uses a deep-learning paragraph reader that merges nearby boxes into proper lines — much better for connected writing.
technicalBest: printed letters with consistent spacing on a clean light background, photographed straight-on with good lighting. Good: neat cursive with reasonable letter separation. Tricky: rapid notes with overlapping loops, words written across pre-printed lines, photos at an angle. The handwriting-ocr engine handles all three but accuracy degrades for the tricky cases.
tipsYes — the engine supports 80+ languages including Spanish (es), French (fr), German (de), Italian (it), Portuguese (pt), Japanese (ja), Korean (ko), Chinese (ch_sim), Arabic (ar), Russian (ru) and Hindi (hi). Pass language codes in the Languages field comma-separated for multilingual notes.
featuresUse bright, even lighting (daylight, not lamp shadow). Photograph straight down (parallel to the page) to avoid keystone distortion. Make sure the page fills the frame. Avoid glossy paper (glare washes out letters). Black or dark blue ink on white paper gives the highest contrast.
tipsYes — whiteboard text is one of the most common use cases. Make sure the photo is shot straight-on, lit evenly (no harsh ceiling reflections), and that ink is dark enough. Marker writing in red, green or yellow generally has lower contrast than black — keep that in mind.
featuresThe image is uploaded to our OCR service, processed in an isolated container, and deleted within 24 hours. We never share or use uploads to train models. For confidential journal entries, medical notes or legal handwritten exhibits, consider a desktop OCR install.
privacyFree during beta. No signup, no daily cap, no watermark. The output text is yours to use commercially.
pricingHow Handwriting OCR helps you get it done
Real problems it solves every day — for businesses, creators, and everyday tasks. Find the use case that fits you and start in seconds.
Lecture Note Digitisation
Students write notes by hand for better retention, then digitise after class for searchable archive. Lecture notes become a searchable PDF or Markdown library, easy to revisit before exams.
Whiteboard to Document
After a meeting whiteboarding session, photograph the board and OCR the result into a shared document. Action items, diagrams, and decisions captured automatically — no manual transcription.
Journal & Diary Archives
Decades of handwritten journals can be photographed and OCR'd into searchable text for the first time. A treasure trove for personal history, biography research, or family memoir projects.
Field Research Notes
Anthropologists, biologists, archaeologists and surveyors write notes by hand in the field. OCR back at base camp turns those notes into searchable data that integrates with research databases.
Recipe & Cookbook Digitisation
Grandma's handwritten recipes can finally enter the digital age. OCR each card, save as a searchable cookbook, share with the family without losing the original handwritten heritage.
Clinical & Medical Notes
Doctors' handwritten patient notes (still common in many settings) can be digitised for electronic health records. Best practice: review every OCR'd note for accuracy given the consequences.