Introduction

The Handwriting OCR API provides a simple, reliable way to extract text and data from documents and images. Using state-of-the-art OCR technology, it can process handwritten text, printed documents, and structured data like tables. The API is RESTful, uses JSON for response data, and requires authentication via API tokens.

This is an earlier version of our API. For new integrations, use the latest version.

Key Features

• Handwriting recognition and text extraction
• Table structure detection and data extraction
• Support for PDF and common image formats (JPG, PNG, TIFF, etc.)
• Multiple export formats (TXT, DOCX, JSON, CSV, XLSX)

Basic Process

1. Upload Document Start by uploading your document with a specified action:
   • transcribe: Extract all text from the document
   • tables: Extract data from tables
   • extractor: Extract structured data using a Custom Extractor.
2. Check Status After upload, your document enters the processing queue. Check its status using the document ID returned in step 1.
3. Download Results Once processing is complete, download the results in your preferred format:
   • Transcription: TXT, DOCX, or JSON
   • Tables: XLSX or JSON
   • Extractor: XLSX, CSV, or JSON.

Getting Started

• Create an account at handwritingocr.com
• Generate an API token in the dashboard
• For Custom Extractors, create and test an Extractor first.
• Test the API with a sample document
• Monitor results in the dashboard

Support

For technical support or questions, contact our support team.