Blog
Practical guides on handwriting recognition, multilingual OCR, and digitising historical documents.
Aug 5, 2026
Our Google Workspace add-on is live on the Marketplace. Select a scanned PDF or image in Google Drive, or an attachment in Gmail, choose what you want back, and the result is written to your Drive as a Google Doc or Google Sheet. No downloading, no re-uploading, no pasting.
Jul 22, 2026
Handwriting OCR now has a hosted MCP server, so Claude, Cursor, VS Code, and any other assistant that speaks the Model Context Protocol can transcribe scans, pull fields from forms, and export to Word or Excel from inside the chat. Add one connector, sign in, done.
Jul 15, 2026
We benchmarked every serious handwriting OCR API on the same sample: specialist, cloud document AI, and LLM vision. Word Error Rates ranged from 0.9% to 95.4%. Here is the accuracy data, real per-1,000-page pricing, and working code for each option.
Jul 2, 2026
Obsidian has no native handwriting, so people cobble together their own workflow. Here are the real options for getting handwritten notes into your vault, whether you write on an iPad or on paper, and how to make them searchable text instead of dead images.
Jun 17, 2026
You can now email documents straight to Handwriting OCR. Send a notebook from your reMarkable, Supernote, Boox, or Kindle Scribe to a private inbox address and the transcription lands in your dashboard. Here is how it works and why it fixes the weak link in note-tablet OCR.
Jan 20, 2026
Whether you're converting typed documents or handwritten text, getting high-quality results starts with providing high-quality images. Here's your complete guide to getting the best possible results from OCR software.
Jan 20, 2026
An honest look at the free handwriting OCR options in 2026: what Google Keep, Apple Live Text, OneNote, and Tesseract actually do, where they fail on real handwriting, and the most accurate tool you can try free.
Jan 20, 2026
We’ve rigorously tested the latest options to bring you the top note-taking apps for Apple's iPad in 2025.
Jan 20, 2026
We ran the same handwritten sample through nine handwriting OCR tools in 2026, from purpose-built services to general LLM vision and open-source engines. Word Error Rates ranged from 0.9% to 95.4%. Here's what worked, what didn't, and why the gap is so large.
Jan 20, 2026
In this comprehensive comparison, we'll examine how general-purpose AI models stack up against specialized OCR tools, looking at real-world examples, comparing accuracy rates, and helping you understand which solution might work best for your needs.
Jan 20, 2026
Most handwriting recognition tools force you to pick one language before processing, which means mixed-language documents come back as garbled text. This guide explains why that happens and how multilingual OCR handles it without any language setup.
Jan 20, 2026
Complete guide to Python handwriting OCR. Achieve 97%+ accuracy where Tesseract fails. Includes code examples, batch processing, and structured data extraction.
