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Overview

The ML-Parser OCR API provides a seamless solution to extract structured data from documents via Optical Character Recognition (OCR). This API accepts document files through a POST request and returns the parsed data in JSON format. It is designed for high accuracy and scalability, supporting use cases such as:

  • Invoice processing
  • Document digitization
  • Data extraction from forms

Key Goals​

  • Automate document data extraction (e.g., invoices, contracts)

Pain Points​

  • Time-consuming, error-prone manual data entry
  • Difficulty in configuring document processing tools without technical support

Motivations​

  • Increase operational efficiency
  • Maintain high accuracy in document processing
  • Keep track of usage metrics to stay within budget

What Can Users Do?​

  • Use OCR to extract data from various document types
  • Extract specialized fields from structured or semi-structured documents
  • Integrate the API with tools like ERPs, Google Sheets, CRMs, etc.
  • Validate documents through rule-based or AI-assisted checks
  • Automate reading/verification of critical fields
  • Digitize data for storage, search, or further processing