Handwriting OCR

Handwriting OCR processes handwritten documents—letters, journals, forms, field notes—and returns text that can be edited, searched, and exported. It serves a wide range of users, from individuals digitising family archives to businesses processing large volumes of pages every month. The service emphasizes accuracy on challenging handwriting while maintaining scalability and privacy. The company operates under UK data protection law and prioritises user control over data and privacy.

How Handwriting OCR works in three steps: Upload a scan, AI transcribes it, then export searchable text. The same three steps for any handwritten document, with no setup and results in seconds. Upload a document, AI reads the handwriting, and export and use it. The transcription can be downloaded as Word, Markdown, or plain text, or accessed via API.

Handwriting OCR focuses on preserving original formatting and offering exports to Word, Excel, PDF, plain text, or DOCX. The system claims word error rates of less than 1% on certain handwriting and maintains privacy by not training on user content. It supports more than 300 languages and ensures encryption for all uploads.

Plans, platforms, integrations, or limits include paid plans with monthly and yearly options, API access, and enterprise considerations. The API supports token-based authentication, webhooks, and rate limits, and there are details on OAuth for published integrations and enterprise arrangements.

Use cases

• Lawyers, doctors, researchers, teachers, and journalers use Handwriting OCR to convert handwritten work into digital, searchable text.