Sam Prentice
Customer support and guides, Handwriting OCR
Sam Prentice runs customer support at Handwriting OCR and writes our guides, comparisons and product explainers.
Sam has worked on Handwriting OCR since 2023, answering questions from people digitizing everything from a single family letter to archive collections of thousands of pages. That day-to-day support work is where most of our guides come from: the questions people actually ask, the documents that trip tools up, and what works in practice.
Sam also runs the side-by-side tests published on this site, using real documents and checking the results word for word against the original.
Articles by Sam Prentice
- Handwriting OCR API with webhooks: upload, process and export
Build an asynchronous handwriting OCR workflow: upload a PDF or image, receive a signed webhook when processing finishes, then store the result.
- Handwriting OCR now runs inside Google Drive and Gmail
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.
- Use Handwriting OCR inside Claude and other AI assistants
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.
- The best handwriting OCR API in 2026: benchmarks, prices, and code
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.
- Handwritten Notes in Obsidian: Every Way to Capture, Store, and Search Them
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.
- Email your handwritten notes and get accurate text back
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.
- 12 Tips for Better OCR Results: A Complete Guide
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.
- Best Free OCR for Handwriting: 2026 Comparison
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.
- The best AI handwriting OCR in 2026: a benchmark of nine tools
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.
- ChatGPT, Claude and other AI models for OCR: pros and cons
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.
- Multilingual Handwriting OCR: How to Recognize Handwriting in Multiple Languages
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.
- Python Handwriting OCR: Convert Handwriting to Text with 97%+ Accuracy
Complete guide to Python handwriting OCR. Achieve 97%+ accuracy where Tesseract fails. Includes code examples, batch processing, and structured data extraction.