Master HandOCR with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Explore the key features that make HandOCR powerful for ocr workflows.
HandOCR supports JPG, PNG, WEBP, and PDF uploads on its OCR page. The uploader allows a maximum of 10 images or PDF files at once, which is useful when processing a small batch of screenshots, receipts, or scanned pages. The pricing FAQ also lists JPG, JPEG, PNG, and WEBP image support, so users working with common image formats should be covered.
Yes, HandOCR has a free daily usage model. The provided pricing data states that users get 10 free conversions per day without logging in and 30 free conversions per day when logged in. If that limit is reached, users can buy one-time credit packs rather than starting a recurring subscription.
HandOCR uses credits for paid usage. The listed packs are 600 credits for $9.99, 1400 credits for $19.99, 4000 credits for $49.99, and 8500 credits for $99.99. OCR actions cost 5 credits per image or PDF file, while AI summarizer and AI rewriter actions cost 2 credits per text, and purchased credits are used only after the free daily quota is exhausted.
Yes, HandOCR says its picture-to-text technology can recognize legible handwriting and convert it into digital text. Users should set expectations carefully because the website also notes that typed text yields the best results. For handwritten notes, clean images, good lighting, high contrast, and minimal background clutter will usually matter more than the OCR model alone.
HandOCR says files are processed securely, are not logged or shared, and are automatically removed from the server on a regular basis. The site also says uploaded images are processed securely and will not be stored or shared. However, the supplied website content does not include a detailed retention period, audit documentation, or compliance certifications, so users handling sensitive legal, medical, or regulated data should review the policy pages before uploading documents.
Now that you know how to use HandOCR, it's time to put this knowledge into practice.
Sign up and follow the tutorial steps
Check pros, cons, and user feedback
See how it stacks against alternatives
Follow our tutorial and master this powerful ocr tool in minutes.
Tutorial updated March 2026